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	<title><![CDATA[BOL: Related items]]></title>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44718/mycology-research-resources-for-bioinformaticians-unlocking-the-fungal-kingdom</guid>
	<pubDate>Fri, 13 Dec 2024 11:21:45 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44718/mycology-research-resources-for-bioinformaticians-unlocking-the-fungal-kingdom</link>
	<title><![CDATA[Mycology Research Resources for Bioinformaticians: Unlocking the Fungal Kingdom]]></title>
	<description><![CDATA[<p>Mycology, the study of fungi, is a field that bridges ecology, medicine, and biotechnology. With advancements in bioinformatics, researchers now have unprecedented opportunities to explore the fungal kingdom at molecular, genetic, and ecological levels. From understanding pathogenic fungi to harnessing fungal enzymes for industrial applications, the potential is vast.</p><p>To fully leverage these opportunities, bioinformaticians require specialized tools and databases. This blog highlights essential resources for mycology research, focusing on databases, tools, and platforms tailored for fungal biology.</p><h4><strong>1. Fungal Databases</strong></h4><h5><strong>1.1. MycoCosm</strong></h5><p><strong>Website</strong>: <a target="_new">MycoCosm</a><br />Developed by the DOE Joint Genome Institute, MycoCosm is a comprehensive portal for fungal genomics. It offers genomic and transcriptomic data for a wide range of fungi, including saprobes, pathogens, and symbionts.</p><ul>
<li><strong>Key Features</strong>: Genome browsers, comparative genomics tools, and functional annotations.</li>
<li><strong>Best For</strong>: Large-scale studies on fungal evolution and ecology.</li>
</ul><h5><strong>1.2. FungiDB</strong></h5><p><strong>Website</strong>: <a href="https://fungidb.org/" target="_new">FungiDB</a><br />FungiDB is an integrated genomic resource for fungal pathogens and non-pathogens. It provides access to genome sequences, transcriptomic data, and functional annotations.</p><ul>
<li><strong>Key Features</strong>: Advanced search options, BLAST, and pathway analysis tools.</li>
<li><strong>Best For</strong>: Studying fungal pathogenesis and host-pathogen interactions.</li>
</ul><h5><strong>1.3. Index Fungorum</strong></h5><p><strong>Website</strong>: <a href="http://www.indexfungorum.org/" target="_new">Index Fungorum</a><br />This nomenclatural database provides information on the scientific names of fungi. It&rsquo;s an essential resource for taxonomists and researchers focused on fungal biodiversity.</p><ul>
<li><strong>Key Features</strong>: Taxonomic hierarchy and synonymy tracking.</li>
<li><strong>Best For</strong>: Identifying and classifying fungal species.</li>
</ul><h5><strong>1.4. UNITE</strong></h5><p><strong>Website</strong>: <a target="_new">UNITE</a><br />UNITE is a specialized database for fungal ITS (Internal Transcribed Spacer) sequences, often used in fungal identification and phylogenetics.</p><ul>
<li><strong>Key Features</strong>: Curated reference datasets and community annotations.</li>
<li><strong>Best For</strong>: Environmental mycology and microbial ecology studies.</li>
</ul><h4><strong>2. Analytical Tools</strong></h4><h5><strong>2.1. Funannotate</strong></h5><p><strong>Repository</strong>: <a href="https://github.com/nextgenusfs/funannotate" target="_new">GitHub - Funannotate</a><br />Funannotate is a genome annotation tool designed for fungi. It supports tasks like gene prediction, functional annotation, and orthology analysis.</p><ul>
<li><strong>Best For</strong>: Annotating newly sequenced fungal genomes.</li>
</ul><h5><strong>2.2. BUSCO (Benchmarking Universal Single-Copy Orthologs)</strong></h5><p><strong>Website</strong>: <a target="_new">BUSCO</a><br />BUSCO evaluates genome assembly and annotation completeness using orthologs. It includes a fungal-specific dataset.</p><ul>
<li><strong>Best For</strong>: Assessing the quality of fungal genome assemblies.</li>
</ul><h5><strong>2.3. Pathogen-Host Interactions Database (PHI-base)</strong></h5><p><strong>Website</strong>: <a href="http://www.phi-base.org/" target="_new">PHI-base</a><br />PHI-base is a manually curated resource containing information on pathogen-host interactions, including fungal pathogens.</p><ul>
<li><strong>Best For</strong>: Exploring virulence factors and host-pathogen relationships.</li>
</ul><h4><strong>3. Visualization Platforms</strong></h4><h5><strong>3.1. Cytoscape</strong></h5><p><strong>Website</strong>: <a href="https://cytoscape.org/" target="_new">Cytoscape</a><br />A powerful tool for visualizing molecular interaction networks, Cytoscape can be used to study protein-protein interactions, gene networks, and metabolic pathways in fungi.</p><ul>
<li><strong>Best For</strong>: Network biology and functional genomics.</li>
</ul><h5><strong>3.2. iTOL (Interactive Tree of Life)</strong></h5><p><strong>Website</strong>: <a target="_new">iTOL</a><br />iTOL is an interactive tool for visualizing phylogenetic trees.</p><ul>
<li><strong>Best For</strong>: Displaying fungal phylogenies and comparing evolutionary relationships.</li>
</ul><h4><strong>4. Community Resources</strong></h4><h5><strong>4.1. Mycological Society of America (MSA)</strong></h5><p><strong>Website</strong>: <a href="https://msafungi.org/" target="_new">MSA</a><br />The MSA promotes fungal research and provides access to resources, conferences, and publications.</p><ul>
<li><strong>Best For</strong>: Networking with fungal researchers and accessing recent studies.</li>
</ul><h5><strong>4.2. OpenFungi</strong></h5><p><strong>Website</strong>: <a href="https://openfungi.org/" target="_new">OpenFungi</a><br />OpenFungi is an open-source initiative providing fungal genomic and transcriptomic datasets for research and education.</p><ul>
<li><strong>Best For</strong>: Sharing and accessing public fungal datasets.</li>
</ul><h4><strong>5. Genomics Workflows</strong></h4><h5><strong>5.1. Galaxy</strong></h5><p><strong>Website</strong>: <a href="https://usegalaxy.org/" target="_new">Galaxy Project</a><br />Galaxy offers a web-based platform for reproducible bioinformatics workflows, including tools for fungal genome and transcriptome analysis.</p><ul>
<li><strong>Best For</strong>: User-friendly analysis pipelines without requiring coding skills.</li>
</ul><h5><strong>5.2. Snakemake</strong></h5><p><strong>Repository</strong>: <a target="_new">Snakemake</a><br />A flexible pipeline management tool that supports fungal data processing and analysis.</p><ul>
<li><strong>Best For</strong>: Custom workflows for large-scale fungal datasets.</li>
</ul><h4><strong>Conclusion</strong></h4><p>Fungal research is a rapidly growing field with vast implications for medicine, agriculture, and industry. For bioinformaticians, the availability of specialized resources&mdash;databases, tools, and community platforms&mdash;opens doors to innovative discoveries. Whether you are investigating fungal genomics, studying host-pathogen interactions, or exploring fungal biodiversity, the resources outlined above will empower your research journey.</p><p>Dive into these resources and help unravel the mysteries of the fungal kingdom!</p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/7387/bioinformatics-software-for-biologists-in-the-genomics-era</guid>
	<pubDate>Sun, 22 Dec 2013 17:31:05 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/7387/bioinformatics-software-for-biologists-in-the-genomics-era</link>
	<title><![CDATA[Bioinformatics software for biologists in the genomics era]]></title>
	<description><![CDATA[<p>The genome sequencing revolution is approaching a landmark figure of 1000 completely sequenced genomes. Coupled with fast-declining, per-base sequencing costs, this influx of DNA sequence data has encouraged laboratory scientists to engage large datasets in comparative sequence analyses for making evolutionary, functional and translational inferences. However, the majority of the scientists at the forefront of experimental research are not bioinformaticians, so a gap exists between the user-friendly software needed and the scripting/programming infrastructure often employed for the analysis of large numbers of genes, long genomic segments and groups of sequences. We see an urgent need for the expansion of the fundamental paradigms under which biologist-friendly software tools are designed and developed to fulfill the needs of biologists to analyze large datasets by using sophisticated computational methods. We argue that the design principles need to be sensitive to the reality that comparatively small teams of biologists have historically developed some of the most popular biological software packages in molecular evolutionary analysis. Furthermore, biological intuitiveness and investigator empowerment need to take precedence over the current supposition that biologists should re-tool and become programmers when analyzing genome scale datasets.</p><p>Address of the bookmark: <a href="http://bioinformatics.oxfordjournals.org/content/23/14/1713.full" rel="nofollow">http://bioinformatics.oxfordjournals.org/content/23/14/1713.full</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/42275/frequent-parameters-for-bioinformatics-tools</guid>
	<pubDate>Tue, 27 Oct 2020 19:42:32 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/42275/frequent-parameters-for-bioinformatics-tools</link>
	<title><![CDATA[Frequent parameters for bioinformatics tools !]]></title>
	<description><![CDATA[<div><div>Third party executable parameters and options.</div><div>&nbsp;</div><div>Trimmomatic</div><div>&nbsp;</div><div>&ldquo;ILLUMINACLIP:...:2:30:10&rdquo;</div><div>&ldquo;LEADING:15&rdquo;</div><div>&ldquo;TRAILING:15&rdquo;</div><div>&ldquo;SLIDINGWINDOW:4:20&rdquo;</div><div>&ldquo;MINLEN:20&rdquo;</div><div>&ldquo;TOPHRED33&rdquo;</div><div>&nbsp;</div><div>Filtlong</div><div>--min_length 500</div><div>--min_mean_q 85</div><div>--min_window_q 65</div><div>&nbsp;</div><div>FastQ Screen</div><div>--aligner bowtie2' (bwa for PacBio)</div><div>--subset 1000 (for PacBio)</div><div>&nbsp;</div><div>SPAdes</div><div>--careful</div><div>--disable-gzip-output</div><div>--cov-cutoff auto</div><div>--phred-offset 33</div><div>&nbsp;</div><div>HGAP</div><div>Pbalign.task_options.min_accuracy: 70</div><div>Pbalign.task_options.no_split_subreads: false</div><div>Genomic_consensus.task_options.min_confidence: 40</div><div>falcon_ns.task_options.HGAP_GenomeLength_str:</div><div>6000000</div><div>Pbcoretools.task_options.read_length: 0</div><div>Genomic_consensus.task_options.use_score: 0</div><div>Pbalign.task_options.min_length: 50</div><div>Pbalign.task_options.algorithm_options: --minMatch 12</div><div>--bestn 10 --minPctSimilarity 70.0</div><div>Pbalign.task_options.hit_policy: randombest</div><div>Pbcoretools.task_options.other_filters: rq &gt;= 0.7</div><div>Pbalign.task_options.concordant: false</div><div>Genomic_consensus.task_options.min_coverage: 5</div><div>falcon_ns.task_options.HGAP_SeedCoverage_str: 30</div><div>falcon_ns.task_options.HGAP_AggressiveAsm_bool: false</div><div>Genomic_consensus.task_options.algorithm: best</div><div>falcon_ns.task_options.HGAP_SeedLengthCutoff_str: -1</div><div>Genomic_consensus.task_options.diploid: false</div><div>&nbsp;</div><div>MeDuSa</div><div>-random 100</div><div>&nbsp;</div><div>Prokka</div><div>--usegenus</div><div>--force</div><div>--addgenes</div><div>--rfam</div><div>--rawproduct</div><div>&nbsp;</div><div>cmsearch (taxonomy, 16S)</div><div>--rfam</div><div>--noali</div><div>&nbsp;</div><div>blastn (taxonomy, 16S)</div><div>-evalue 1E-10</div><div>&nbsp;</div><div>blastn (MLST)</div><div>-ungapped</div></div><div><div>-dust no</div><div>-evalue 1E-20</div><div>-word_size 32</div><div>-culling_limit 2</div><div>-perc_identity 95</div><div>&nbsp;</div><div>blastp (VF)</div><div>-culling_limit 2</div><div>&nbsp;</div><div>RGI (ABR)</div><div>--input_type contig</div><div>&nbsp;</div><div>bowtie2 (mapping)</div><div>--sensitive</div><div>&nbsp;</div><div>minimap2 (mapping)</div><div>-a</div><div>-x map-ont</div><div>&nbsp;</div><div>samtools mpileup (SNP&nbsp;detection)</div><div>-uRI</div><div>&nbsp;</div><div>bcftools call (SNP detection)</div><div>--variants-only</div><div>--skip-variants indels</div><div>--output-type v</div><div>--ploidy 1</div><div>-c</div><div>&nbsp;</div><div>SNPsift filter (SNP detection)</div><div>"( QUAL &gt;= 30 ) &amp; (( na FILTER ) | (FILTER = 'PASS')) &amp;</div><div>( DP &gt;= 20 ) &amp; ( MQ &gt;= 20 )"</div><div>&nbsp;</div><div>SNPeff ann (SNP detection)</div><div>-nodownload</div><div>-no-intron</div><div>-no-downstream</div><div>-no SPLICE_SITE_REGION</div><div>-upDownStreamLen 250</div><div>&nbsp;</div><div>bcftools consensus</div><div>(phylogenetic tree)</div><div>--haplotype 1</div><div>&nbsp;</div><div>fasttreemp</div><div>-nt</div><div>-boot 100</div><div>&nbsp;</div><div>roary</div><div>-e</div><div>-n</div><div>-cd 100</div><div>-g 100000</div></div>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/37514/list-of-non-commercial-ngs-genotype-calling-software</guid>
	<pubDate>Thu, 09 Aug 2018 04:21:32 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/37514/list-of-non-commercial-ngs-genotype-calling-software</link>
	<title><![CDATA[List of non-commercial NGS genotype-calling software]]></title>
	<description><![CDATA[<p><span>Meaningful analysis of next-generation sequencing (NGS) data, which are produced extensively by genetics and genomics studies, relies crucially on the accurate calling of SNPs and genotypes. Recently developed statistical methods both improve and quantify the considerable uncertainty associated with genotype calling, and will especially benefit the growing number of studies using low- to medium-coverage data.&nbsp;</span></p><p><span>A list of programs for genotype and SNP calling :</span></p><p><br />SOAP2&nbsp;http://soap.genomics.org.cn/index.html</p><p>Single-sample High-quality variant database (for example, dbSNP) Package for NGS data analysis, which includes a single individual genotype caller (SOAPsnp)</p><p>realSFS&nbsp;http://128.32.118.212/thorfinn/realSFS/</p><p>Single-sample Aligned reads Software for SNP and genotype calling using single individuals and allele frequencies. Site frequency spectrum (SFS) estimation</p><p>Samtools http://samtools.sourceforge.net/</p><p>Multi-sample Aligned reads Package for manipulation of NGS alignments, which includes a computation of genotype likelihoods (samtools) and SNP and genotype calling (bcftools)</p><p>GATK http://www.broadinstitute.org/gsa/wiki/index.php/The_Genome_Analysis_Toolkit Multi-sample Aligned reads Package for aligned NGS data analysis, which includes a SNP and genotype caller (Unifed Genotyper), SNP filtering (Variant Filtration) and SNP quality recalibration (Variant Recalibrator)</p><p>Beagle http://faculty.washington.edu/browning/beagle/beagle.html</p><p>Multi-sample LD Candidate SNPs, genotype likelihoods Software for imputation, phasing and association that includes a mode for genotype calling</p><p>IMPUTE2 http://mathgen.stats.ox.ac.uk/impute/impute_v2.html</p><p>Multi-sample LD Candidate SNPs, genotype likelihoods Software for imputation and phasing, including a mode for genotype calling. Requires fine-scale linkage map</p><p>QCall ftp://ftp.sanger.ac.uk/pub/rd/QCALL</p><p>Multi-sample LD &lsquo;Feasible&rsquo; genealogies at a dense set of loci, genotype likelihoods Software for SNP and genotype calling, including a method for generating candidate SNPs without LD information (NLDA) and a method for incorporating LD information (LDA). The &lsquo;feasible&rsquo; genealogies can be generated using Margarita (http://www.sanger.ac.uk/resources/software/margarita)</p><p>MaCH http://genome.sph.umich.edu/wiki/Thunder</p><p>Multi-sample LD Genotype likelihoods Software for SNP and genotype calling, including a method (GPT_Freq) for generating candidate SNPs without LD information and a method (thunder_glf_freq) for incorporating LD information</p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/26629/computer-simulation-of-genetic-mechanism</guid>
	<pubDate>Sun, 13 Mar 2016 09:29:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/26629/computer-simulation-of-genetic-mechanism</link>
	<title><![CDATA[Computer simulation of genetic mechanism !!]]></title>
	<description><![CDATA[<p>Computer simulation is the discipline of designing a model of an actual or theoretical physical/biological system, executing the model on a digital computer, and analyzing the execution output. Simulation embodies the principle of ``learning by doing'' --- to learn about the system we must first build a model of some sort and then operate the model. The use of simulation is an activity that is as natural as a child who role plays. Children understand the world around them by simulating (with toys and figurines) most of their interactions with other people, animals and objects. As adults, we lose some of this childlike behavior but recapture it later on through computer simulation. To understand reality and all of its complexity, we must build artificial objects and dynamically act out roles with them. Computer simulation is the electronic equivalent of this type of role playing and it serves to drive synthetic environments and virtual worlds. Within the overall task of simulation, there are three primary sub-fields: model design, model execution and model analysis<br /><br />Simulation models have become important tools in Bioinformatics studies. There are many reasons for this, but we emphasize three of the more important:</p><p>(1) they enable exploration of hypotheses, and as such, have become invaluable means to guide research;</p><p>(2) they are unique approaches to integrate (in the literal term of the word) biological knowledge, in the form of experimental results; and</p><p>(3) they enable connecting biology with other fields of study ranging from physiology to genomics;</p><p>This blog, and this software list, is intended to guide the potential user of simulation models.<br />It is not, in any way, meant to be comprehensive on the very diverse simulation tools that already exist, but focuses on mechanistic, dynamic models. Similarly, it is not meant to provide any coverage of the breadth of applications; however, for interested readers, we provide references to use as a possible starting point.<br /><br />Simulation models are meant to answer questions which scientists have in a dynamic, quantitative, and often, a pictorial way. Much of the bioinformatics research and its applications, in particular, involve a large number of components, actors, and factors. Assembling these in a coherent framework may seem a daunting task, especially for beginners, and can lead to confusion, even for experienced scientists, especially if the objectives of such an exercise are not well defined. Followings are the list of tools bioinformatician may use to analyze and provide answers to complex biological mechanisms and related problems.</p><p style="margin-bottom: 0in;">&nbsp;</p><table width="718" cellspacing="0" cellpadding="2"><colgroup><col width="134"> <col width="501"> </colgroup>
<tbody>
<tr><th style="border: none; padding: 0in;">
<p>Software Resource</p>
</th><th style="border: none; padding: 0in;">
<p>Brief Description and Homepage</p>
</th></tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/aladyn/">Aladyn </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Tools to investigate how demographic parameters, populations genetics and abiotic conditions affect the rate of adaptation <br /><a href="http://www.katja-schiffers.eu/research.html">http://www.katja-schiffers.eu/research.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/alf/">ALF </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A Simulation Framework for Genome Evolution <br /><a href="http://www.cbrg.ethz.ch/alf">http://www.cbrg.ethz.ch/alf</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/art/">ART </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>ART is a set of simulation tools to generate synthetic next-generation sequencing data by mimicking real sequencing process with empirical error models or quality profiles. <br /><a href="http://www.niehs.nih.gov/research/resources/software/biostatistics/art/">http://www.niehs.nih.gov/research/resources/software/biostatistics/art/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/bamsurgeon/">BAMSurgeon </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Methods for realistic simulation of mutations in real data. <br /><a href="https://github.com/adamewing/bamsurgeon">https://github.com/adamewing/bamsurgeon</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/bayesian-serial-simcoal/">Bayesian Serial SimCoal </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Bayesian Serial SimCoal, (BayeSSC) is a modification of SIMCOAL 1.0, a program written by Laurent Excoffier, John Novembre, and Stefan Schneider. <br /><a href="http://www.stanford.edu/group/hadlylab/ssc/index.html">http://www.stanford.edu/group/hadlylab/ssc/index.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/baysics/">BaySICS </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>An integral platform with a graphical interface for statistical inference based on approximate Bayesian computation. <br /><a href="https://sites.google.com/site/baysicsabc/">https://sites.google.com/site/baysicsabc/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/beers/">BEERS </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>BEERS was designed to benchmark RNA-Seq alignment algorithms and also algorithms that aim to reconstruct different isoforms and alternate splicing from RNA-Seq data <br /><a href="http://cbil.upenn.edu/BEERS/">http://cbil.upenn.edu/beers/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/bottleneck/">BOTTLENECK </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Bottleneck is a program for detecting recent effective population size reductions from allele data frequencies <br /><a href="http://www.ensam.inra.fr/URLB/bottleneck/bottleneck.html">http://www.ensam.inra.fr/urlb/bottleneck/bottleneck.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/bottlesim/">BottleSim </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>BottleSim is a computer simulation program for simulating the process of population bottlenecks <br /><a href="http://chkuo.name/software/BottleSim.html">http://chkuo.name/software/bottlesim.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/cass/">CASS </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Protein Sequence Simulation <br /><a href="https://liberles.cst.temple.edu/Software/CASS/index.html">https://liberles.cst.temple.edu/software/cass/index.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/cdpop/">CDPOP </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>CDPOP is a landscape genetics tool for simulating the emergence of spatial genetic structure in populations resulting from specified landscape processes governing organism movement behavior. <br /><a href="http://cel.dbs.umt.edu/CDPOP">http://cel.dbs.umt.edu/cdpop</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/classical-genetics-simulator/">Classical Genetics Simulator </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Web-based simulation software <br /><a href="http://www.cgslab.com/">http://www.cgslab.com/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/coasim/">CoaSim </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>CoaSim is a tool for simulating the coalescent process with recombination and geneconversion under various demographic models. <br /><a href="http://users-birc.au.dk/mailund/CoaSim/index.html">http://users-birc.au.dk/mailund/coasim/index.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/cosi/">cosi </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>The cosi package is written in C and is available as a tar file. <br /><a href="http://www.broadinstitute.org/%7Esfs/cosi/">http://www.broadinstitute.org/~sfs/cosi/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/cs-pseq-gen/">CS-PSeq-Gen </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A program to simulate the evolution of protein sequences under the constraints of the information of a particular reconstructed phylogeny <br /><a href="http://bioserv.rpbs.univ-paris-diderot.fr/software/CS-PSeq-Gen/">http://bioserv.rpbs.univ-paris-diderot.fr/software/cs-pseq-gen/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/dawg/">DAWG </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>An application designed to simulate the evolution of recombinant DNA sequences in continuous time <br /><a href="http://scit.us/projects/dawg">http://scit.us/projects/dawg</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/easypop/">Easypop </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>EASYPOP is an individual based model intended to simulate datasets under a very broad range of conditions <br /><a href="http://www.unil.ch/dee/en/home/menuinst/softwares--dataset/softwares/easypop.html">http://www.unil.ch/dee/en/home/menuinst/softwares--dataset/softwares/easypop.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/egglib/">EggLib </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>EggLib is a C++/Python library and program package for evolutionary genetics and genomics. <br /><a href="http://egglib.sourceforge.net/">http://egglib.sourceforge.net/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/episim/">EpiSIM </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>EpiSIM: simulation of multiple epistasis, linkage disequilibrium patterns and haplotype blocks for genome-wide interaction analysis <br /><a href="https://sourceforge.net/projects/episimsimulator/files/">https://sourceforge.net/projects/episimsimulator/files/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/evolsimulator/">EvolSimulator </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A simulation test bed for hypotheses of genome evolution <br /><a href="http://acb.qfab.org/acb/evolsim/">http://acb.qfab.org/acb/evolsim/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/evolveagene/">EvolveAGene </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A realistic coding sequence simulation program that separates mutation from selection and allows the user to set selection conditions <br /><a href="http://bellinghamresearchinstitute.com/software/index.html">http://bellinghamresearchinstitute.com/software/index.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/fastsimcoal/">fastsimcoal </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A continuous-&shy;‐time coalescent simulator of genomic diversity under arbitrarily complex evolutionary scenarios <br /><a href="http://cmpg.unibe.ch/software/fastsimcoal/">http://cmpg.unibe.ch/software/fastsimcoal/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/fastslink/">FastSLINK </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Simulation of Marker and Phenotype Data in Pedigrees <br /><a href="https://watson.hgen.pitt.edu/">https://watson.hgen.pitt.edu/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/ffpopsim/">FFPopSim </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>C++/Python library for population genetics. <br /><a href="http://webdav.tuebingen.mpg.de/ffpopsim/">http://webdav.tuebingen.mpg.de/ffpopsim/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/flux-simulator/">FLUX SIMULATOR </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>The Flux Simulator aims at providing a deterministic in silico reproduction of the experimental pipelines for RNA-Seq, employing a minimal set of parameters. <br /><a href="http://sammeth.net/confluence/display/SIM/Home">http://sammeth.net/confluence/display/sim/home</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/forqs/">forqs </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Forward-in-time simulation of Recombination, Quantitative Traits, and Selection <br /><a href="https://bitbucket.org/dkessner/forqs">https://bitbucket.org/dkessner/forqs</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/forsim/">ForSim </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>ForSim: A Forward Evolutionary Computer Simulation <br /><a href="http://anth.la.psu.edu/research/weiss-lab/research/research">http://anth.la.psu.edu/research/weiss-lab/research/research</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/forwsim/">ForwSim </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>The program given below is based on the algorithm described in Padhukasahasram et al. 2008 to simulate genetic drift in a standard Wright-Fisher process. <br /><a href="http://badri-populationgeneticsimulators.blogspot.com/">http://badri-populationgeneticsimulators.blogspot.com/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/fpg/">FPG </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Forward Population Genetic simulation <br /><a href="https://bio.cst.temple.edu/%7Ehey/software/software.htm#FPG">https://bio.cst.temple.edu/~hey/software/software.htm#fpg</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/fregene/">FREGENE </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>FREGENE is a C++ program that simulates sequence-like data over large genomic regions in large diploid populations. <br /><a href="http://www.ebi.ac.uk/projects/BARGEN">http://www.ebi.ac.uk/projects/bargen</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/frequency-based-insilico-genome-generator-figg/">FIGG </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>FIGG is a genome simulation tool that uses known or theorized variation frequency, per a given fragment size and grouped by GC content across a genome to model new genomes in FASTA format while tracking applied mutations for use in analysis <br /><a href="http://insilicogenome.sourceforge.net/">http://insilicogenome.sourceforge.net/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/fwdpp/">fwdpp </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A C++ template library for implementing efficient forward simulations. <br /><a href="http://molpopgen.github.io/fwdpp/">http://molpopgen.github.io/fwdpp/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/gametes/">GAMETES </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Genetic Architecture Model Emulator for Testing and Evaluating Software: Simulates complex SNP models with pure, strict epistatic interactions with n-loci. <br /><a href="http://sourceforge.net/projects/gametes/?source=navbar">http://sourceforge.net/projects/gametes/?source=navbar</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/gasp/">GASP </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Genometric Analysis Simulation Program. A software tool for testing and investigating methods in statistical genetics by generating samples of family data based on user specified models. <br /><a href="http://research.nhgri.nih.gov/gasp/">http://research.nhgri.nih.gov/gasp/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/gcta/">GCTA </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Genome-wide Complex Trait Analysis <br /><a href="http://www.complextraitgenomics.com/software/gcta/download.html">http://www.complextraitgenomics.com/software/gcta/download.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/gemsim/">GemSIM </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Next generation sequencing read simulator <br /><a href="http://sourceforge.net/projects/gemsim/">http://sourceforge.net/projects/gemsim/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/geneartisan/">GeneArtisan </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Simulation of Markers in Case-Control Study Designs <br /><a href="http://www.rannala.org/?page_id=241">http://www.rannala.org/?page_id=241</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/genome/">GENOME </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A rapid coalescent-based whole genome simulator <br /><a href="http://www.sph.umich.edu/csg/liang/genome/">http://www.sph.umich.edu/csg/liang/genome/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/genomepop2/">GenomePop2 </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>GenomePop2 is a specialization of the program GenomePop just to manage SNPs under more flexible and useful settings. If you need models with more than 2 alleles please use the GenomePop program version. <br /><a href="https://ritchielab.psu.edu/research/research-areas/statistical-genetics-and-gen-epi/methods/genomesimla">https://ritchielab.psu.edu/research/research-areas/statistical-genetics-and-gen-epi/methods/genomesimla</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/genomesimla/">GenomeSimla </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>GenomeSIMLA is currently under development- however, we have a beta release that we are asking to be tested <br /><a href="http://chgr.mc.vanderbilt.edu/genomeSIMLA/">http://chgr.mc.vanderbilt.edu/genomesimla/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/gens2/">GENS2 </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Simulates interactions among two genetic and one environmental factor and also allows for epistatic interactions. <br /><a href="https://sourceforge.net/projects/gensim/">https://sourceforge.net/projects/gensim/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/gwasimulator/">GWAsimulator </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A rapid whole genome simulation program <br /><a href="http://biostat.mc.vanderbilt.edu/wiki/Main/GWAsimulator">http://biostat.mc.vanderbilt.edu/wiki/main/gwasimulator</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/hap-sample/">HAP-SAMPLE </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>An association simulator for candidate regions or genome scans <br /><a href="http://www.hapsample.org/">http://www.hapsample.org/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/hapgen/">HAPGEN </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A simulator for the simulation of case control datasets at SNP markers <br /><a href="https://mathgen.stats.ox.ac.uk/genetics_software/hapgen/hapgen2.html">https://mathgen.stats.ox.ac.uk/genetics_software/hapgen/hapgen2.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/hapsim/">HapSim </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A simulation tool for generating haplotype data with pre-specified allele frequencies and LD coefficients <br /><a href="http://cran.r-project.org/web/packages/hapsim/index.html">http://cran.r-project.org/web/packages/hapsim/index.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/hapsimu/">HAPSIMU </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A program that simulates heterogeneous populations with various known and controllable structures under the continuous migration model or the discrete model <br /><a href="http://l.web.umkc.edu/liujian/">http://l.web.umkc.edu/liujian/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/ibdsim/">IBDsim </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>IBDSim is a computer package for the simulation of genotypic data under general isolation by distance models. <br /><a href="http://raphael.leblois.free.fr/">http://raphael.leblois.free.fr/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/indel-seq-gen/">indel-Seq-Gen </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A biological sequence simulation program that simulates highly divergent DNA sequences and protein superfamilies <br /><a href="http://bioinfolab.unl.edu/%7Ecstrope/iSG/">http://bioinfolab.unl.edu/~cstrope/isg/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/indelible/">Indelible </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A powerful and flexible simulator of biological evolution <br /><a href="http://abacus.gene.ucl.ac.uk/software/indelible/">http://abacus.gene.ucl.ac.uk/software/indelible/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/invertfregene/">invertFREGENE </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>InvertFREGENE is a forward-in-time simulator of inversions in population genetic data <br /><a href="http://www.ebi.ac.uk/projects/BARGEN/">http://www.ebi.ac.uk/projects/bargen/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/kernalpop/">kernalPop </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A spatially explicit population genetic simulation engine <br /><a href="http://cran.r-project.org/src/contrib/Archive/kernelPop/">http://cran.r-project.org/src/contrib/archive/kernelpop/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/macs/">MaCS </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Markovian Coalescent Simulator <br /><a href="http://www-hsc.usc.edu/%7Egarykche/">http://www-hsc.usc.edu/~garykche/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/marlin/">Marlin </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Marlin provides a user-friendly interface for performing forward-in-time population genetic simulations. <br /><a href="http://www.patrickmeirmans.com/software/Marlin.html">http://www.patrickmeirmans.com/software/marlin.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/mason/">Mason </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A package for the simulation of nucleotide data. <br /><a href="http://www.seqan.de/projects/mason/">http://www.seqan.de/projects/mason/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/mbs/">mbs </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>modifying Hudson's ms software to generate samples of DNA sequences with a biallelic site under selection <br /><a href="http://www.sendou.soken.ac.jp/esb/innan/InnanLab/software.html">http://www.sendou.soken.ac.jp/esb/innan/innanlab/software.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/mendels-accountant/">Mendel's Accountant </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Mendel's Accountant (MENDEL) is an advanced numerical simulation program for modeling genetic change over time and was developed collaboratively by Sanford, Baumgardner, Brewer, Gibson and ReMine <br /><a href="http://mendelsaccount.sourceforge.net/">http://mendelsaccount.sourceforge.net/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/metapopgen/">MetaPopGen </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Simulates genetics in large size metapopulations <br /><a href="https://sites.google.com/site/marcoandrello/metapopgen">https://sites.google.com/site/marcoandrello/metapopgen</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/metasim/">MetaSim </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A tool to generate collections of synthetic reads that reflect the diverse taxonomical composition of typical metagenome data sets <br /><a href="http://ab.inf.uni-tuebingen.de/software/metasim/">http://ab.inf.uni-tuebingen.de/software/metasim/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/mlcoalsim/">mlcoalsim </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Multilocus Coalescent Simulations <br /><a href="http://code.google.com/p/mlcoalsim-v1/">http://code.google.com/p/mlcoalsim-v1/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/ms/">ms </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>The purpose of this program is to allow one to investigate the statistical properties of such samples, to evaluate estimators or statistical tests, and generally to aid in the interpretation of polymorphism data sets. <br /><a href="http://home.uchicago.edu/%7Erhudson1/source/mksamples.html">http://home.uchicago.edu/~rhudson1/source/mksamples.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/mshot/">msHOT </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>The purpose of this program is to allow one to investigate the statistical properties of such samples, to evaluate estimators or statistical tests, and generally to aid in the interpretation of polymorphism data sets. <br /><a href="http://home.uchicago.edu/%7Erhudson1/">http://home.uchicago.edu/~rhudson1/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/msms/">msms </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A coalescent Simlation tool with selection. <br /><a href="http://www.mabs.at/ewing/msms/index.shtml">http://www.mabs.at/ewing/msms/index.shtml</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/myssp/">MySSP </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A program for the simulation of DNA sequence evolution across a phylogenetic tree <br /><a href="http://www.rosenberglab.net/software.html">http://www.rosenberglab.net/software.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/nemo/">Nemo </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A forward-time, individual-based, genetically explicit, and stochastic simulation program designed to study the evolution of genetic markers, life history traits, and phenotypic traits in a flexible (meta-)population framework. <br /><a href="http://nemo2.sourceforge.net/">http://nemo2.sourceforge.net/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/netrecodon/">NetRecodon </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Coalescent simulation of coding DNA sequences with recombination (inter and intracodon), migration and demography <br /><a href="http://code.google.com/p/netrecodon/">http://code.google.com/p/netrecodon/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/oncosimulr/">OncoSimulR </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>BioConductor package for Forward Genetic Simulation of Cancer Progresion with Epistasis <br /><a href="https://github.com/rdiaz02/OncoSimul">https://github.com/rdiaz02/oncosimul</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/pedagog/">PEDAGOG </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Software for simulating eco-evolutionary population dynamics <br /><a href="https://bcrc.bio.umass.edu/pedigreesoftware/node/5">https://bcrc.bio.umass.edu/pedigreesoftware/node/5</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/phenosim/">phenosim </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A tool to add phenotypes to simulated genotypes <br /><a href="http://evoplant.uni-hohenheim.de/doku.php?id=software:software">http://evoplant.uni-hohenheim.de/doku.php?id=software:software</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/phylosim/">PhyloSim </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>An R package for the Monte Carlo simulation of sequence evolution <br /><a href="http://www.ebi.ac.uk/goldman-srv/phylosim/">http://www.ebi.ac.uk/goldman-srv/phylosim/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/pirs/">pIRS </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Profile-based Illumina pair-end reads simulator <br /><a href="https://code.google.com/p/pirs/">https://code.google.com/p/pirs/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/proteinevolver/">ProteinEvolver </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Simulation of protein evolution along phylogenies under structure-based substitution models <br /><a href="http://code.google.com/p/proteinevolver/">http://code.google.com/p/proteinevolver/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/qmsim/">QMSim </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>QTL and Marker Simulator <br /><a href="http://www.aps.uoguelph.ca/%7Emsargol/qmsim/">http://www.aps.uoguelph.ca/~msargol/qmsim/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/quantinemo/">quantiNEMO </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>An individual-based program for the analysis of quantitative traits with explicit genetic architecture potentially under selection in a structured population <br /><a href="http://www2.unil.ch/popgen/softwares/quantinemo/">http://www2.unil.ch/popgen/softwares/quantinemo/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/recoal/">RECOAL </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Simulates new haplotype data from a reference population of haplotypes. <br /><a href="ftp://popgen.usc.edu/">ftp://popgen.usc.edu/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/recodon/">Recodon </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Coalescent simulation of coding DNA sequences with recombination, migration and demography <br /><a href="http://code.google.com/p/recodon/">http://code.google.com/p/recodon/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/rlsim/">rlsim </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A package for simulating RNA-seq library preparation with parameter estimation <br /><a href="http://bit.ly/rlsim-git">http://bit.ly/rlsim-git</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/rmetasim/">Rmetasim </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Rmetasim is a front-end for the metasim engine that is implemented as a package that runs in the statistical computing environment R <br /><a href="http://cran.r-project.org/web/packages/rmetasim/index.html">http://cran.r-project.org/web/packages/rmetasim/index.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/rna-seq-simulator/">RNA Seq Simulator </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>RSS takes SAM alignment files from RNA-Seq data and simulates over dispersed, multiple replica, differential, non-stranded RNA-Seq datasets. <br /><a href="http://useq.sourceforge.net/cmdLnMenus.html#RNASeqSimulator">http://useq.sourceforge.net/cmdlnmenus.html#rnaseqsimulator</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/rose/">Rose </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Random model of sequence evolution <br /><a href="http://bibiserv.techfak.uni-bielefeld.de/rose/">http://bibiserv.techfak.uni-bielefeld.de/rose/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/scrm/">scrm </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A coalescent simulator optimized for long sequences and large samples. <br /><a href="https://scrm.github.io/">https://scrm.github.io/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/selsim/">SelSim </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>SelSim is a program for Monte Carlo simulation of DNA polymorphism data for a recom- bining region within which a single bi-allelic site has experienced natural selection <br /><a href="http://www.well.ox.ac.uk/%7Espencer/SelSim/">http://www.well.ox.ac.uk/~spencer/selsim/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/seq-gen/">Seq-Gen </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>An application for the Monte Carlo simulation of molecular sequence evolution along phylogenetic trees. <br /><a href="http://tree.bio.ed.ac.uk/software/seqgen/">http://tree.bio.ed.ac.uk/software/seqgen/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/seqpower/">SEQPower </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Statistical power analysis for sequence-based association studies <br /><a href="http://bioinformatics.org/spower/">http://bioinformatics.org/spower/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/seqsimla/">SeqSIMLA </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>SeqSIMLA can simulate sequence data with user-specified disease and quantitative trait models. Family or unrelated case-control data can be simulated. <br /><a href="http://seqsimla.sourceforge.net/">http://seqsimla.sourceforge.net/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/serial-netevolve/">Serial NetEvolve </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A flexible utility for generating serially-sampled sequences along a tree or recombinant network <br /><a href="http://biorg.cis.fiu.edu/SNE/">http://biorg.cis.fiu.edu/sne/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/sfs_code/">SFS_CODE </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>SFS_CODE can perform forward population genetic simulations under a general Wright-Fisher model with arbitrary migration, demographic, selective, and mutational effects. <br /><a href="http://sfscode.sourceforge.net/SFS_CODE/index/index.html">http://sfscode.sourceforge.net/sfs_code/index/index.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/sibsim/">SIBSIM </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Quantitative phenotype simulation in extended pedigrees <br /><a href="http://sourceforge.net/projects/sibsim/">http://sourceforge.net/projects/sibsim/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/simadapt/">SimAdapt </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A spatially explicit, individual-based, forward-time, landscape-genetic simulation model combined with a landscape cellular automaton. <br /><a href="https://www.openabm.org/model/3137">https://www.openabm.org/model/3137</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/simcoal2/">SIMCOAL2 </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A coalescent program for the simulation of complex recombination patterns over large genomic regions under various demographic models <br /><a href="http://cmpg.unibe.ch/software/simcoal2/">http://cmpg.unibe.ch/software/simcoal2/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/simcopy/">SimCopy </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>An R package simulating the evolution of copy number profiles along a tree. <br /><a href="http://bit.ly/simcopy">http://bit.ly/simcopy</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/simla/">SIMLA </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>SIMLA is a SIMuLAtion program that generates data sets of families for use in Linkage and Association studies. <br /><a href="http://dmpi.duke.edu/simla-simulation-software-version-32">http://dmpi.duke.edu/simla-simulation-software-version-32</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/simped/">SimPed </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A Simulation Program to Generate Haplotype and Genotype Data for Pedigree Structures <br /><a href="http://bioinformatics.org/simped/">http://bioinformatics.org/simped/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/simprot/">Simprot </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A program to simulate protein evolution by substitution, insertion and deletion <br /><a href="http://www.uhnresearch.ca/labs/tillier/software.htm#3">http://www.uhnresearch.ca/labs/tillier/software.htm#3</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/simrare/">SimRare </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Rare variant simulation and analysis tool <br /><a href="http://code.google.com/p/simrare/">http://code.google.com/p/simrare/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/simugwas/">simuGWAS </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A forward-time simulator that simulates realistic samples for genome-wide association studies. <br /><a href="http://simupop.sourceforge.net/Cookbook/SimuGWAS">http://simupop.sourceforge.net/cookbook/simugwas</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/simupop/">simuPOP </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>simuPOP is a general-purpose individual-based forward-time population genetics simulation environment. <br /><a href="http://simupop.sourceforge.net/">http://simupop.sourceforge.net/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/sissi/">SISSI </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A software tool to generate data of related sequences along a given phylogeny, taking into account user defined system of neighbourhoods and instantaneous rate matrices. <br /><a href="http://www.cibiv.at/software/sissi/">http://www.cibiv.at/software/sissi/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/smartpop/">SMARTPOP </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Simulating Mating Alliance as a Reproductive Tactic for Populations <br /><a href="http://smartpop.sourceforge.net/">http://smartpop.sourceforge.net/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/snpsim/">SNPsim </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Coalescent simulation of hotspot recombination <br /><a href="http://code.google.com/p/phylosoftware/">http://code.google.com/p/phylosoftware/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/spip/">SPIP </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>SPIP simulates the transmission of genes from parents to offspring in a population having demographic structure defined by the user <br /><a href="http://swfsc.noaa.gov/textblock.aspx?Division=FED&amp;id=3434">http://swfsc.noaa.gov/textblock.aspx?division=fed&amp;id=3434</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/splatche/">Splatche </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Spatial and Temporal Coalescences in Heterogeneous Environment <br /><a href="http://www.splatche.com/">http://www.splatche.com/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/srv/">srv </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Simulator of Rare Varaints (srv) is a simulator for the simulation of the introduction and evolution of (rare) genetic variants. <br /><a href="http://simupop.sourceforge.net/Cookbook/SimuRareVariants">http://simupop.sourceforge.net/cookbook/simurarevariants</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/sup/">SUP </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>SLINK/FastSLINK utility program <br /><a href="http://mlemire.freeshell.org/software.html">http://mlemire.freeshell.org/software.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/treesimj/">TreesimJ </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A flexible, forward-time population genetic simulator <br /><a href="http://code.google.com/p/treesimj/">http://code.google.com/p/treesimj/</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/variant-simulation-tools/">Variant Simulation Tools </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>A simulation tool for post-GWAS genetic epidemiological studies using whole-genome or whole-exome next-gen sequencing data, with an emphasis on user-friendliness and reproducibility. <br /><a href="http://varianttools.sourceforge.net/Simulation/HomePage">http://varianttools.sourceforge.net/simulation/homepage</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/vortex/">Vortex </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>VORTEX is an individual-based simulation model for population viability analysis (PVA). <br /><a href="http://www.vortex9.org/vortex.html">http://www.vortex9.org/vortex.html</a></p>
</td>
</tr>
<tr><th style="border: none; padding: 0in;">
<p><a href="https://popmodels.cancercontrol.cancer.gov/gsr/packages/wessim/">Wessim </a></p>
</th>
<td style="border: none; padding: 0in;">
<p>Whole Exome Sequencing SIMulator <br /><a href="http://sak042.github.io/Wessim/">http://sak042.github.io/wessim/</a></p>
</td>
</tr>
</tbody>
</table><p style="margin-bottom: 0in;">&nbsp;</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26852/awesome-bioinformatics-pipelines</guid>
	<pubDate>Wed, 30 Mar 2016 21:50:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26852/awesome-bioinformatics-pipelines</link>
	<title><![CDATA[Awesome bioinformatics pipelines !]]></title>
	<description><![CDATA[<p><span>A curated list of awesome pipeline toolkits ...</span></p>
<p><span>https://github.com/pditommaso/awesome-pipeline</span></p><p>Address of the bookmark: <a href="https://github.com/pditommaso/awesome-pipeline" rel="nofollow">https://github.com/pditommaso/awesome-pipeline</a></p>]]></description>
	<dc:creator>Jitendra Prajapati</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28141/csbb-v10</guid>
	<pubDate>Wed, 29 Jun 2016 07:33:05 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28141/csbb-v10</link>
	<title><![CDATA[CSBB-v1.0]]></title>
	<description><![CDATA[<p>CSBB is a command line based bioinformatics suite to analyze biological data acquired through varied avenues of biological experiments. CSBB is implemented in Perl, while it also leverages the use of R and python in background for specific modules. Major focus of CSBB is to allow users from biology and bioinformatics community, to get benefited by performing down-stream analysis tasks while eliminating the need to write programming code. CSBB is currently available on Linux, UNIX, MAC OS and Windows platforms.</p>
<p>Currently CSBB provides 13 modules focused on analytical tasks like performing upper-quantile normalization on expression data or convert genome wide gene expression to z-scores when comparing expression data from different platforms.</p>
<p>More at&nbsp;https://github.com/skygenomics/CSBB-v1.0</p><p>Address of the bookmark: <a href="https://github.com/skygenomics/CSBB-v1.0" rel="nofollow">https://github.com/skygenomics/CSBB-v1.0</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28915/useful-bioinformatics-tools</guid>
	<pubDate>Mon, 29 Aug 2016 04:08:12 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28915/useful-bioinformatics-tools</link>
	<title><![CDATA[Useful Bioinformatics Tools]]></title>
	<description><![CDATA[<p>Collections of few handy tools for bioinformatician</p>
<p>http://molbiol-tools.ca/Convert.htm</p><p>Address of the bookmark: <a href="http://molbiol-tools.ca/Convert.htm" rel="nofollow">http://molbiol-tools.ca/Convert.htm</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30355/meme-suite</guid>
	<pubDate>Fri, 23 Dec 2016 08:49:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30355/meme-suite</link>
	<title><![CDATA[MEME suite]]></title>
	<description><![CDATA[<p>Motif based sequence analysis suits&nbsp;</p>
<p>The MEME Suite allows the biologist to discover novel motifs in collections of unaligned nucleotide or protein sequences, and to perform a wide variety of other motif-based analyses.</p>
<p>The MEME Suite supports motif-based analysis of DNA, RNA and protein sequences. It provides motif discovery algorithms using both probabilistic (MEME) and discrete models (MEME), which have complementary strengths. It also allows discovery of motifs with arbitrary insertions and deletions (GLAM2). In addition to motif discovery, the MEME Suite provides tools for scanning sequences for matches to motifs (FIMO, MAST and GLAM2Scan), scanning for clusters of motifs (MCAST), comparing motifs to known motifs (Tomtom), finding preferred spacings between motifs (SpaMo), predicting the biological roles of motifs (GOMo), measuring the positional enrichment of sequences for known motifs (CentriMo), and analyzing ChIP-seq and other large datasets (MEME-ChIP).</p>
<p>The MEME Suite is comprised of a collection of tools that work together, as shown below. Not all the tools are available as webservices, so to get the full power of the MEME Suite you will need to&nbsp;<a href="http://meme-suite.org/doc/download.html">download</a>&nbsp;and&nbsp;<a href="http://meme-suite.org/doc/install.html">install</a>&nbsp;a local copy of the software. To see what has changed recently you can peruse the&nbsp;<a href="http://meme-suite.org/doc/release-notes.html">release notes</a>.</p>
<p>http://meme-suite.org/</p><p>Address of the bookmark: <a href="http://meme-suite.org/" rel="nofollow">http://meme-suite.org/</a></p>]]></description>
	<dc:creator>Bulbul</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38004/vcfr-a-package-to-manipulate-and-visualize-vcf-data-in-r</guid>
	<pubDate>Thu, 25 Oct 2018 09:05:59 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38004/vcfr-a-package-to-manipulate-and-visualize-vcf-data-in-r</link>
	<title><![CDATA[vcfR:  a package to manipulate and visualize VCF data in R]]></title>
	<description><![CDATA[<p><span>VcfR is an R package intended to allow easy manipulation and visualization of variant call format (VCF) data. Functions are provided to rapidly read from and write to VCF files. Once VCF data is read into R a parser function extracts matrices from the VCF data for use with typical R functions. This information can then be used for quality control or other purposes. Additional functions provide visualization of genomic data. Once processing is complete data may be written to a VCF file or converted into other popular R objects (e.g., genlight, DNAbin). VcfR provides a link between VCF data and the R environment connecting familiar software with genomic data.</span></p><p>Address of the bookmark: <a href="https://github.com/knausb/vcfR" rel="nofollow">https://github.com/knausb/vcfR</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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