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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/17924?offset=50</link>
	<atom:link href="https://bioinformaticsonline.com/related/17924?offset=50" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/36398/tools-for-protein-protein-docking</guid>
	<pubDate>Wed, 25 Apr 2018 05:15:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/36398/tools-for-protein-protein-docking</link>
	<title><![CDATA[Tools for Protein-Protein Docking !]]></title>
	<description><![CDATA[<p>Predicting the structure of protein&ndash;protein complexes using docking approaches is a difficult problem whose major challenges include identifying correct solutions, and properly dealing with molecular flexibility and conformational changes. Following are the tools to predict&nbsp;<span>the structure of protein&ndash;protein complexes:</span></p><p><a href="http://www.sbg.bio.ic.ac.uk/docking/index.html" target="_blank">3D-Dock Suite</a></p><p>Global rigid search: FFTShape complementarity and electrostatics</p><p>Re-scoring and clustering. Refinement of interface side-chains</p><p><a href="http://www.sbg.bio.ic.ac.uk/~3dgarden/" target="_blank">3D-Garden</a></p><p>Global rigid search in ensamble</p><p>Shape complementarity and Lennard&ndash;Jones potential</p><p>Side chain and backbone dihedral refinement</p><p><a href="http://www.sdsc.edu/CCMS/DOT/" target="_blank">DOT</a></p><p>Global rigid search: FFTShape complementarity, electrostatics and VDWNone</p><p><a href="http://users.unimi.it/~ddl/escherng/index.htm" target="_blank">Escher NG</a></p><p>Global rigid searchShape complementarity, hydrogen bonds and electrostatic</p><p>Integrated in&nbsp;<a href="http://users.unimi.it/~ddl/vega/download.htm" target="_blank">VEGA</a></p><p><a href="http://vakser.bioinformatics.ku.edu/resources/gramm/gramm1" target="_blank">GRAMM</a>&nbsp;</p><p>Global rigid search: FFT. smooth protein surface representation for soft docking</p><p>Shape complementarity and Lennard-Jones potential</p><p>Clustering of conformations</p><p><a href="http://vakser.bioinformatics.ku.edu/resources/gramm/grammx/" target="_blank">GRAMM-X</a>&nbsp;</p><p>Global rigid search: FFT. smooth protein surface representation for soft docking</p><p>Shape complementarity and Lennard-Jones potentialminimization and re-scoring with multiple filters</p><p><a href="http://www.loria.fr/~ritchied/hex_server/" target="_blank">HEX</a></p><p>Global rigid search: Fourier correlation of spherical harmonics</p><p>Shape complementarity</p><p><a href="http://www.csd.abdn.ac.uk/hex/" target="_blank"></a><a href="http://haddock.chem.uu.nl/Haddock/haddock.php" target="_blank">HADDOCK</a></p><p>Global rigid searchElectrostatic ,VDW and desolvation energy termsMD simulated annealing refinement . Filtering based on external data.&nbsp;</p><p><a href="http://www.molsoft.com/docking.html">ICM</a></p><p>Global rigid search: Monte CarloEmpirical scoring function</p><p>Clustering and selection of conformations. Refinement of interface side-chains and re-scoring</p><p><a href="http://www.weizmann.ac.il/Chemical_Research_Support/molfit/" target="_blank">MolFit&nbsp;</a></p><p>Global rigid search: FFTShape complementarity</p><p>Clustering of good solutions, filtering using&nbsp;<em>a priori&nbsp;</em>information and small, local rigid rotations around selected conformations</p><p><a href="http://bioinfo3d.cs.tau.ac.il/PatchDock/" target="_blank">PatchDock</a></p><p>Global rigid searchShape complementarity and atomic desolvation energy</p><p>Clustering of conformations</p><p><a href="http://inb.bsc.es/gn6/PyDock" target="_blank">PyDock</a></p><p>Global rigid search:FFTShape complementarity</p><p>rescoring by binding electrostatics and desolvation energy</p><p><a href="http://bioinfo3d.cs.tau.ac.il/PatchDock/" target="_blank"></a><a href="http://rosettadock.graylab.jhu.edu/" target="_blank">RosettaDock</a></p><p>Local rigid search: Monte Carlo with low and high resolution structure representation levels</p><p>Different scoring parameters for the different resolutions&nbsp;</p><p><a href="http://zlab.bu.edu/zdock/" target="_blank">ZDOCK</a></p><p>Global rigid search: FFTShape complementarity, desolvation energy, and electrostatics.</p><p>Energy minimization and re-scoringFree for academics</p><p>&nbsp;</p><p>Point to note:</p><p>The proper treatment of flexibility in protein&ndash;protein docking is still an active field of research. You first should analyzed your proteins in order to define their conformational space and then choose the most suitable method for your docking problem.</p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38743/molinspiration-broad-range-of-cheminformatics-software-tools-supporting-molecule-manipulation</guid>
	<pubDate>Sun, 20 Jan 2019 05:32:40 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38743/molinspiration-broad-range-of-cheminformatics-software-tools-supporting-molecule-manipulation</link>
	<title><![CDATA[molinspiration: broad range of cheminformatics software tools supporting molecule manipulation]]></title>
	<description><![CDATA[<p><span>Molinspiration offers&nbsp;</span><a href="https://www.molinspiration.com/products.html">broad range of cheminformatics software tools</a><span>&nbsp;supporting molecule manipulation and processing, including SMILES and SDfile conversion, normalization of molecules, generation of tautomers, molecule fragmentation, calculation of various molecular properties needed in QSAR, molecular modelling and drug design, high quality molecule depiction, molecular database tools supporting substructure and similarity searches. Our products support also fragment-based virtual screening, bioactivity prediction and data visualization. Molinspiration tools are written in Java, therefore can be used practically on any computer platform.</span></p><p>Address of the bookmark: <a href="https://www.molinspiration.com/" rel="nofollow">https://www.molinspiration.com/</a></p>]]></description>
	<dc:creator>BioJoker</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/11611/ten-recommendations-for-creating-usable-bioinformatics-command-line-software</guid>
	<pubDate>Sun, 08 Jun 2014 10:06:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/11611/ten-recommendations-for-creating-usable-bioinformatics-command-line-software</link>
	<title><![CDATA[Ten recommendations for creating usable bioinformatics command line software]]></title>
	<description><![CDATA[<p><span>Bioinformatics software varies greatly in quality. In terms of usability, the command line interface is the first experience a user will have of a tool. Unfortunately, this is often also the last time a tool will be used. Here I present ten recommendations for command line software author&rsquo;s tools to follow, which I believe would greatly improve the uptake and usability of their products, waste less user&rsquo;s time, and improve the quality of scientific analyses.</span></p><p>Address of the bookmark: <a href="http://www.gigasciencejournal.com/content/2/1/15?utm_content=buffer25ee0&amp;utm_medium=social&amp;utm_source=twitter.com&amp;utm_campaign=buffer" rel="nofollow">http://www.gigasciencejournal.com/content/2/1/15?utm_content=buffer25ee0&amp;utm_medium=social&amp;utm_source=twitter.com&amp;utm_campaign=buffer</a></p>]]></description>
	<dc:creator>RAJESH DETROJA</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/42936/ancient-whole-genome-duplication-wgd-detection-tools</guid>
	<pubDate>Sun, 07 Mar 2021 00:32:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/42936/ancient-whole-genome-duplication-wgd-detection-tools</link>
	<title><![CDATA[Ancient whole genome duplication (WGD) detection tools !]]></title>
	<description><![CDATA[<p>There are two methods for ancient WGD detection, one is collinearity analysis, and the other is based on the Ks distribution map. Among them, Ks is defined as the average number of synonymous substitutions at each synonymous site, and there is also a Ka corresponding to it, which refers to the average number of non-synonymous substitutions at each non-synonymous site.</p><p>At present, some people have posted articles about the analysis process of WGD. I searched for the keyword "wgd pipeline" and found the following:</p><p><strong>GenoDup: https:// github.com/MaoYafei/GenoDup-Pipeline</strong><br /><strong>https://peerj.com/articles/6303/</strong><br /><strong>WGDdetector: https:// github.com/yongzhiyang2 012/WGDdetector</strong><br /><strong>https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2670-3</strong><br /><strong>wgd: https:// github.com/arzwa/wgd</strong><br /><strong>https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1142-2#Sec1</strong><br /><strong>https://bmcbiol.biomedcentral.com/articles/10.1186/s12915-017-0399-x</strong><br /><strong>GeNoGAP https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1142-2</strong><br /><strong>https://bmcbiol.biomedcentral.com/articles/10.1186/s12915-017-0399-x</strong><br /><strong>https://github.com/dfguan/purge_dups</strong><br /><strong>https://www.biorxiv.org/content/10.1101/2020.01.24.917997v1</strong></p><p>This article introduces the usage of wgd.</p><p>Wgd cannot be installed directly with bioconda at present, so it is a little troublesome to install, because it depends on a lot of software. wgd depends on the following software</p><p><strong>BLAST</strong><br /><strong>MCL</strong><br /><strong>MUSCLE/MAFFT/PRANK</strong><br /><strong>PAML</strong><br /><strong>PhyML/FastTree</strong><br /><strong>i-ADHoRe</strong></p><p>But the good news is that most of the software it depends on can be installed with bioconda</p><blockquote><p>conda create -n wgd python=3.5 blast mcl muscle mafft prank paml fasttree cmake libpng mpi=1.0=mpich<br />conda activate wgd</p></blockquote><p>Here mpi=1.0=mpich is selected, because i-adhore depends on mpich. If openmpi is installed, an error will appear while loading shared libraries: libmpi_cxx.so.40: cannot open shared object file: No such file or directory</p><p>After that, the installation is much simpler</p><blockquote><p>git clone https://github.com/arzwa/wgd.git<br />cd wgd<br />pip install .<br />pip install git+https://github.com/arzwa/wgd.git<br />For i-ADHoRe, you need to register at http:// bioinformatics.psb.ugent.be /webtools/i-adhore/licensing/Agree to the license to download i-ADHoRe-3.0</p></blockquote><p>Since my miniconda3 installed ~/opt/, the installation path is so~/opt/miniconda3/envs/wgd/</p><blockquote><p>tar -zxvf i-adhore-3.0.01.tar.gz<br />cd i-adhore-3.0.01<br />mkdir -p build &amp;&amp; cd build<br />cmake .. -DCMAKE_INSTALL_PREFIX=~/opt/miniconda3/envs/wgd/<br />make -j 4 <br />make insatall</p></blockquote><p>Take the sugarcane genome Saccharum spontaneum L as an example. The genome is 8-ploid with 32 chromosomes (2n = 4x8 = 32)</p><p><strong>Download the tutorial for CDS and GFF annotation files</strong></p><blockquote><p><strong>mkdir -p wgd_tutorial &amp;&amp; cd wgd_tutorial</strong><br /><strong>wget http://www.life.illinois.edu/ming/downloads/Spontaneum_genome/Sspon.v20190103.cds.fasta.gz</strong><br /><strong>wget http://www.life.illinois.edu/ming/downloads/Spontaneum_genome/Sspon.v20190103.gff3.gz</strong><br /><strong>gunzip *.gz</strong></p></blockquote><p>First conda activate wgdstart our analysis environment, and then start the analysis</p><p>Step 1 : Use to wgd mclidentify homologous genes in the genome</p><blockquote><p>wgd mcl -n 20 --cds --mcl -s Sspon.v20190103.cds.fasta -o Sspon_cds.out</p></blockquote><p>Step 2 : Use to wgd ksdbuild Ks distribution</p><blockquote><p>wgd ksd --n_threads 80 Sspon_cds.out/Sspon.v20190103.cds.fasta.blast.tsv.mcl Sspon.v20190103.cds.fasta</p></blockquote><p>Step 3 : If the quality of the genome is good, then wgd syncollinearity analysis can be used . It can help us find the collinearity block in the genome and the corresponding anchor point</p><blockquote><p>wgd syn --feature gene --gene_attribute ID \<br /> -ks wgd_ksd/Sspon.v20190103.cds.fasta.ks.tsv \<br /> Sspon.v20190103.gff3 Sspon_cds.out/Sspon.v20190103.cds.fasta.blast.tsv.mcl</p></blockquote><p>&nbsp;For more reading - There are 9 sub-modules in WGD</p><ul>
<li><span>kde: KDE fitting to the Ks distribution</span></li>
<li><span>ksd: Ks distribution construction</span></li>
<li><span>mcl: BLASP comparison of All-vs-ALl + MCL classification analysis.</span></li>
<li><span><span>mix: Hybrid modeling of Ks distribution.</span></span></li>
<li><span>pre: preprocess the CDS file</span></li>
<li><span>syn: Call I-ADHoRe 3.0 to use GFF files for collinearity analysis</span></li>
<li><span>viz: draw histogram and density plot</span></li>
<li><span>wf1: Ks standard analysis procedure of the whole genome paranome (paranome), call mcl, ksd and syn</span></li>
<li><span>wf2: Ks standard analysis procedure of one-vs-one homologous gene (ortholog), call wcl and kSD</span></li>
</ul>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/19090/deeptools</guid>
	<pubDate>Sat, 08 Nov 2014 15:02:08 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/19090/deeptools</link>
	<title><![CDATA[deepTools]]></title>
	<description><![CDATA[<p>deepTools addresses the challenge of handling the large amounts of data that are now routinely generated from DNA sequencing centers. To do so, deepTools contains useful modules to process the mapped reads data to create coverage files in standard bedGraph and bigWig file formats. By doing so, deepTools allows the creation of normalized coverage files or the comparison between two files (for example, treatment and control). Finally, using such normalized and standardized files, multiple visualizations can be created to identify enrichments with functional annotations of the genome.<br /><br />Publicaton: http://nar.oxfordjournals.org/content/early/2014/05/05/nar.gku365.full<br /><br />Source Code and Wiki: https://github.com/fidelram/deepTools/wiki<br /><br />Galaxy Tool Shed repository: http://toolshed.g2.bx.psu.edu/view/bgruening/deeptools<br /><br />and example Galaxy workflows: http://toolshed.g2.bx.psu.edu/view/bgruening/deeptools_workflows</p>]]></description>
	<dc:creator>Martin Jones</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24297/bioinformatics-walkin-at-nii</guid>
  <pubDate>Fri, 04 Sep 2015 21:48:15 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics WalkIn at NII]]></title>
  <description><![CDATA[
<p>ADVERTISEMENT OF WALK-IN-INTERVIEW</p>

<p>NAME OF THE POST : Bioinformatician (Part time 3 days in a week) (One Position only)</p>

<p>DURATION : One Year</p>

<p>NAME OF THE PROJECT : Next generation sequencing facility</p>

<p>EDUCATIONAL QUALIFICATIONS : At least a Masters degree in Bioinformatics and Bachelors degree in any stream of life sciences</p>

<p>REQUIREMENTS :</p>

<p>Around 5 years of experience and proven track record in next generation sequence data analysis (supported by publications in peer-reviewed journals), ability to analyze transcriptomics, Chip-seq, and small RNA –seq data.</p>

<p>: Should have the ability to analyze raw primary data generated by Illumina next generation sequencing platforms and create / troubleshoot custom analysis Pipelines.</p>

<p>Should have ability to handle all downstream secondary and tertiary data analysis using commercially available as well as open source softwares (transcriptomics, ChIP-seq, small RNA-seq)</p>

<p>Apart from these, the applicant should have knowledge of the following: Programming: Perl and Python. Operating system:</p>

<p>Linux and Windows. NGS Analysis tools: Maq, BWA, Bowtie, SAM tools, BEDTools, MACS, Galaxy, FastQC, Bismark, MEDIPS, Tophat, Cufflinks, AvadisNGS, CLC Genomics Workbench, Galaxy, BaseSpace, Trinity Statistics: Microsoft Excel and R. Database: MySQL Genome Browser: UCSC, Ensemble, IGV, IGB Motif Analysis Tools: MEME Suite, Transfac and RSAT Functional Annotation Tools: DAVID, GeneCodis, Gene Cards Networking Tools: Cytoscape</p>

<p>EMOLUMENTS : The incumbent will be paid a fee of Rs. 2000/- per sitting/ per day.</p>

<p>SCIENTIST NAME : Dr. Arnab Mukhopadhyay,</p>

<p>Staff Scientific V Next generation sequencing facility</p>

<p>SCIENTIST’S E-MAIL ID : arnab@nii.ac.in</p>

<p>WALK IN INTERVIEW ON : 18th September, 2015</p>

<p>REGISTRATION OF CANDIDATES: 10.30 AM to 11.00 AM</p>

<p>PLEASE NOTE- 1. CANDIDATE MAY FILL UP APPLICATION IN THE PRECRIBED FORMAT ALONG WITH NECESSARY DOCUMENTS FOR VERIFICATION. 2. APPLICATIONS CONTAINING INCOMPLETE INFORMATION SHALL NOT BE ENTERTAINED. 3. DATE OF PASSING THE EXAMINATIONS MUST BE INDICATED CLEARLY. 4. ONLY REGISTERED CANDIDATES WILL BE INTERVIEWED. 5. NO TA/DA WILL BE PAID FOR ATTENDING THE INTERVIEW PRESCRIBED FORM 1. NAME 2. FATHER’S NAME 3. MOTHER’S NAME 4. DATE OF BIRTH 5. SEX (MALE/FEMALE) 6. CATEGORY (SC/ ST/ OBC/ PH) 7. ADDRESS a. (CORRSPONDENCE) b. (PERMANENT) 8. E MAIL, TELEPHONE NO. &amp; MOBILE No (if any) 9. ACADEMIC &amp; PROFESSIONAL QUALIFICATIONS NAME OF EXAMINATION PASSED WITH SUBJECTS YEAR OF PASSING BOARD/ UNIVERSITY PERCENTAGE/ DIVISION REMARKS 10. PAST EXPERIENCE &amp; PRESENT EMPLOYMENT, IF ANY 11. CANDIDATES SHOULD STATE CLEARLY WHETHER THEY HAVE BEEN AWARDED PH.D DEGREE OR THESIS HAS BEEN SUBMITTED. 12. HAVE YOU APPLIED FOR A POSITION EARLIER IN THE INSTITUTE? IF SO:- (1) THE DETAILS OF THE PROJECT AND PROJECT INVESTIGATOR (2) IF CALLED FOR INVERVIEW, RESULTS THEREOF</p>

<p>More at http://www1.nii.res.in/sites/default/files/walkininterview-18sept2015.pdf</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26356/spines</guid>
	<pubDate>Tue, 09 Feb 2016 05:07:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26356/spines</link>
	<title><![CDATA[Spines]]></title>
	<description><![CDATA[<div id="content-header">
<h1>Spines</h1>
</div>
<div id="node-1301">
<div>
<div>
<p><a href="http://www.broadinstitute.org/ftp/distribution/software/spines/"><em>Spines</em></a> is a collection of software tools, developed and used by the Vertebrate Genome Biology Group at the Broad Institute. It provides basic data structures for efficient data manipulation (mostly genomic sequences, alignments, variation etc.), as well as specialized tool sets for various analyses. It also features three sequence alignment packages: <em>Satsuma,</em> a highly parallelized program for high-sensitivity, genome-wide synteny; <em>Papaya,</em> an all-purpose alignment tool for less diverged sequences; and <em>SLAP,</em> a context-sensitive local aligner for diverged sequences with large gaps.</p>
<p>Access <em>Spines</em> <a href="http://www.broadinstitute.org/ftp/distribution/software/spines/">here</a>.</p>
</div>
</div>
</div>
<p>http://www.broadinstitute.org/science/programs/genome-biology/spines</p><p>Address of the bookmark: <a href="http://www.broadinstitute.org/science/programs/genome-biology/spines" rel="nofollow">http://www.broadinstitute.org/science/programs/genome-biology/spines</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26409/ucsc-genome-browser-and-blat-software</guid>
	<pubDate>Thu, 18 Feb 2016 03:18:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26409/ucsc-genome-browser-and-blat-software</link>
	<title><![CDATA[UCSC Genome Browser and Blat software !]]></title>
	<description><![CDATA[<p>This directory contains Genome Browser and Blat application binaries built for standalone <br>command-line use on various supported Linux and UNIX platforms. To determine which set of binaries <br>to download, type "uname -a" on the command line to display your machine type. In most cases the <br>usage statement for the application can be viewed by running the binary with no arguments. <br><br>The UCSC Genome Browser and Blat software are free for academic, nonprofit, and personal use. A <br>license is required for commercial download and installation of these binaries, with the exception <br>of items built from the following source code directories, which are freely available for all uses:<br><br>&nbsp;- kent/src/utils (includes big* tools)<br>&nbsp;- kent/src/lib<br>&nbsp;- kent/src/hg/autoSql<br>&nbsp;- kent/src/hg/autoXml<br><br>For information about commercial licensing of the Genome Browser software, see <br>http://genome.ucsc.edu/license/. The Blat and In-Silico PCR software may be commercially<br>licensed through Kent Informatics (http://www.kentinformatics.com).</p>
<p>More at http://hgdownload.cse.ucsc.edu/admin/exe/</p><p>Address of the bookmark: <a href="http://hgdownload.cse.ucsc.edu/admin/exe/" rel="nofollow">http://hgdownload.cse.ucsc.edu/admin/exe/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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<item>
	<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>

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