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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/41493?offset=400</link>
	<atom:link href="https://bioinformaticsonline.com/related/41493?offset=400" rel="self" type="application/rss+xml" />
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43268/kmer-a-suite-of-tools-for-dna-sequence-analysis</guid>
	<pubDate>Wed, 18 Aug 2021 00:02:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43268/kmer-a-suite-of-tools-for-dna-sequence-analysis</link>
	<title><![CDATA[Kmer: a suite of tools for DNA sequence analysis]]></title>
	<description><![CDATA[<p>More at&nbsp;https://help.rc.ufl.edu/doc/Kmer</p>
<p>This also includes:</p>
<ul>
<li>A2Amapper: ATAC, Assembly to Assembly Comparision tool:
<ul>
<li>Comparative mapping between two genome assemblies (same species), or between two different genomes (cross species).</li>
</ul>
</li>
</ul>
<ul>
<li>Sim4db:
<ul>
<li>Spliced alignment of cDNA and genomic sequences, from the same (sim4) or related (sim4cc) species. Optimized for high-throughput batched alignment.</li>
</ul>
</li>
</ul>
<ul>
<li>LEAFF:
<ul>
<li>LEAFF (ahem, Let's Extract Anything From Fasta) is a utility program for working with multi-fasta files. In addition to providing random access to the base level, it includes several analysis functions.</li>
</ul>
</li>
</ul>
<ul>
<li>Meryl:
<ul>
<li>An out-of-core k-mer counter. The amount of sequence that can be processed for any size k depends only on the amount of free disk space.</li>
</ul>
</li>
</ul><p>Address of the bookmark: <a href="https://help.rc.ufl.edu/doc/Kmer" rel="nofollow">https://help.rc.ufl.edu/doc/Kmer</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/20504/chromevol</guid>
	<pubDate>Sun, 25 Jan 2015 00:33:11 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/20504/chromevol</link>
	<title><![CDATA[ChromEvol]]></title>
	<description><![CDATA[<p>Chromosome number is a remarkably dynamic feature of eukaryotic evolution. Chromosome numbers can change by a duplication of the whole genome (a process termed polyploidy), or by single chromosome changes (ascending dysploidy via, e.g., chromosome fission or descending dysploidy via, e.g., chromosome fusion).<br> Of the various mechanisms of chromosome number change, polyploidy has received significant attention because of the impact such an event may have on the organism.<br> ChromEvol implements a series of likelihood models for the evolution of chromosome numbers. By comparing the fit of the different models to biological data, it may be possible to gain insight regarding the pathways by which the evolution of chromosome number proceeds. For each model, the program estimates the rates for the possible transitions assumed by the model, infers the set of ancestral chromosome numbers, and estimates the location along the tree for which polyploidy events (and other chromosome number changes) occurred. For further methodological details, see the publications and manual on the Downloads page.</p>
<p>http://www.tau.ac.il/~itaymay/cp/chromEvol/about.html</p><p>Address of the bookmark: <a href="http://www.tau.ac.il/~itaymay/cp/chromEvol/downloads.html" rel="nofollow">http://www.tau.ac.il/~itaymay/cp/chromEvol/downloads.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<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/opportunity/view/43823/the-helsinki-summer-school-on-mathematical-ecology-and-evolution</guid>
  <pubDate>Thu, 10 Mar 2022 01:06:28 -0600</pubDate>
  <link></link>
  <title><![CDATA[The Helsinki Summer School on Mathematical Ecology and Evolution]]></title>
  <description><![CDATA[
<p>https://wiki.helsinki.fi/display/BioMath/The+Helsinki+Summer+School+on+Mathematical+Ecology+and+Evolution+2022</p>

<p>This is the seventh school of a biennial series of international summer schools on mathematical ecology and evolution in Finland, organised by the Biomathematics Group of the University of Helsinki. The series of The Helsinki Summer School on Mathematical Ecology and Evolution is part of the EMS-ESMTB Schools in Applied Mathematics.</p>

<p>After the two-year break forced upon by the pandemic, we are looking forward to continue this series in August 2022, if only the covid situation permits.</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/45115/postdoctoral-fellow-in-genomics-and-comparative-genomics</guid>
  <pubDate>Thu, 09 Apr 2026 02:12:32 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Fellow in Genomics and Comparative Genomics]]></title>
  <description><![CDATA[
<p>Environnement de travail (Work environment):<br />The successful candidate will join a dynamic research group working<br />on the ecology and evolution of host'parasite'environment<br />interactions in non-model organisms, particularly snail vectors and<br />its trematode parasites. She/He will conduct genomic analyses aimed at<br />understanding host'parasite coevolution and the genetic architecture<br />of resistance in the invasive snail Pseudosuccinea columella to the<br />zoonotic parasite Fasciola hepatica. This thematic line is embedded<br />within the regional scientific project InvaSnail financed by the<br />ExposUM initiative from the Montpellier. The position is based in<br />Montpellier, a vibrant scientific hub in Southern France internationally<br />recognized for excellence in ecology and evolutionary biology. The IHPE<br />laboratory provides a collaborative research environment with access<br />to high-performance computing facilities, sequencing platforms, and<br />strong interdisciplinary interactions across research institutions in<br />the Montpellier area. University</p>

<p>Main mission:</p>

<p>Develop and implement strategies for whole-genome sequencing of non-model<br />species<br />Generate high-quality de novo genome assemblies using short- and long-read<br />sequencing technologies<br />Perform genome annotation and structural/functional characterization<br />Conduct comparative genomic analyses across related species or populations<br />Design and implement genome-wide association studies (GWAS) to identify<br />loci associated with phenotypic or adaptive traits<br />Integrate genomic, phenotypic, and environmental datasets<br />Contribute to the development of reproducible bioinformatics pipelines</p>

<p>ActivitÃ©s (Activities):</p>

<p>Lead the genomic component of the research project<br />High-molecular-weight DNA extraction optimization<br />Long-read genome assembly (PacBio HiFi / ONT)<br />Genome polishing and quality assessment (BUSCO, QUAST)<br />Structural and functional annotation<br />Variant discovery (SNPs, indels, SVs)<br />Population genomic analyses (FST, demographic inference)<br />Mixed-model GWAS accounting for structure<br />Workflow development (Snakemake/Nextflow)<br />HPC-based pipeline implementation<br />Publish results in peer-reviewed journals<br />Present findings at international conferences<br />Collaborate with experimental and computational team members<br />Contribute to project development<br />Mentor graduate students when appropriate</p>

<p>More at https://evol.mcmaster.ca/brian/evoldir/PostDocs//MontpellierU.ComparativeGenomics</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42907/lecturer-in-evolutionary-biology-bioinformatics-at-department-of-zoology-te-tari-matai-kararehe-division-of-sciences-te-rohe-a-ahikaroa</guid>
  <pubDate>Tue, 23 Feb 2021 02:05:15 -0600</pubDate>
  <link></link>
  <title><![CDATA[Lecturer in Evolutionary Biology (Bioinformatics) at DEPARTMENT of ZOOLOGY | TE TARI MĀTAI KARAREHE DIVISION of SCIENCES | TE ROHE A AHIKAROA]]></title>
  <description><![CDATA[
<p>DEPARTMENT of ZOOLOGY | TE TARI MĀTAI KARAREHE<br />DIVISION of SCIENCES | TE ROHE A AHIKAROA</p>

<p>Applications are invited for the position of Lecturer in Evolutionary Biology (Bioinformatics).</p>

<p>We are seeking a person with a relevant doctorate, and demonstrated potential to develop as an outstanding researcher and teacher in evolutionary bioinformatics in the Department of Zoology. The position affords an exciting opportunity for an emerging scholar to research and teach in a vibrant and diverse Department. The successful candidate will develop a transformative and collaborative research program, supporting the university's commitment to excellence in research.</p>

<p>Your skills and experience</p>

<p>A PhD with a background in analysis of high-throughput sequencing data and evolutionary biology.<br />Knowledge of and familiarity with a range of bioinformatics skills, concepts, and practices as they relate to the biology of animals, including genomic, transcriptomic and metabarcoding data analyses.<br />A strong interest, and experience, in research and teaching of bioinformatics and evolutionary genomics.<br />An ability to contribute to teaching and learning environments that support engagement of students and staff with bioinformatics and genomics.<br />Be committed to and or have established connections or track record of working with national and local bioinformaticians. <br />Be committed to being a productive collaborator with a track record of working collegially.<br />Further details</p>

<p>This is a confirmation-path (tenure track) position at the level of Lecturer. The successful candidate is expected to take up duties by 1 July 2021.</p>

<p>To see a full job description and to apply online go to: https://otago.taleo.net/careersection/2/jobdetail.ftl?job=2100342</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44219/chromosome-breakpoint-a-breakup-to-remember</guid>
	<pubDate>Tue, 07 Mar 2023 13:31:54 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44219/chromosome-breakpoint-a-breakup-to-remember</link>
	<title><![CDATA[Chromosome breakpoint - a breakup to remember]]></title>
	<description><![CDATA[<div><div><div><div><div><div><div><div><div><div><p>Chromosome breakpoint refers to the physical location where a chromosome is broken and rearranged. Chromosome breakage can occur spontaneously or be induced by environmental factors such as radiation, chemicals, or viruses. The rearrangement of genetic material resulting from a chromosome breakpoint can have important consequences, including the development of genetic diseases, chromosomal abnormalities, or cancer.</p><p>Chromosome breakpoints can occur in two ways: interstitial or terminal. Interstitial breakpoints occur within the chromosome, while terminal breakpoints occur at the end of the chromosome. Terminal breakpoints can lead to the loss of genetic material, whereas interstitial breakpoints can result in the duplication or deletion of genetic material.</p><p>Chromosome breakpoints can be detected using a variety of techniques, including cytogenetic analysis, fluorescence in situ hybridization (FISH), and molecular methods such as polymerase chain reaction (PCR) and next-generation sequencing (NGS). These techniques can also help identify the exact location of the breakpoint and the nature of the rearrangement, such as translocations, inversions, deletions, or duplications.</p><p>Translocations are one of the most common types of chromosome rearrangements caused by breakpoints. In a translocation, genetic material is exchanged between two different chromosomes, resulting in a balanced or unbalanced distribution of genetic material. Unbalanced translocations can cause genetic diseases or developmental abnormalities, while balanced translocations can be inherited without any apparent phenotypic effects.</p><p>Inversions occur when a chromosome segment is inverted, resulting in a change in the order of genetic material. Inversions can be pericentric, involving the centromere, or paracentric, not involving the centromere. Inversions can cause genetic diseases or phenotypic effects if they disrupt the function of essential genes or regulatory elements.</p><p>Deletions and duplications are caused by interstitial breakpoints that result in the loss or gain of genetic material. Deletions can cause genetic diseases or developmental abnormalities if they involve essential genes or regulatory elements. Duplications can also have phenotypic effects, depending on the location and size of the duplicated segment.</p><p>Chromosome breakpoints can also be involved in the formation of complex chromosomal rearrangements, such as ring chromosomes or dicentric chromosomes. These complex rearrangements can have important clinical implications, as they can cause genetic diseases or cancer.</p><p>In conclusion, chromosome breakpoints are important genetic events that can lead to the rearrangement of genetic material and have important clinical implications. The detection and characterization of chromosome breakpoints using cytogenetic, molecular, and genomic methods are essential for the diagnosis, prognosis, and treatment of genetic diseases and cancer. Further research is needed to understand the molecular mechanisms underlying chromosome breakage and to develop new therapies targeting these events.</p></div></div></div></div></div></div></div></div></div></div>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4288/new-born-babies-get-ready-to-know-their-whole-genome-soon</guid>
	<pubDate>Thu, 05 Sep 2013 07:24:02 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4288/new-born-babies-get-ready-to-know-their-whole-genome-soon</link>
	<title><![CDATA[New born babies get ready to know their whole genome soon!!!]]></title>
	<description><![CDATA[<p>USA launch a pilot projects to examine medical information of newborn baby, which are being funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) and the National Human Genome Research Institute (NHGRI), both parts of the National Institutes of Health.</p><p>Awards of $5 million to four grantees have been made in fiscal year 2013 under the Genomic Sequencing and Newborn Screening Disorders research program. The program will be funded at $25 million over five years, as funds are made available.</p><p>"Hundreds of US babies will be pioneers in genomic medicine through a&nbsp;US$25-million programme to sequence their genomes&nbsp;soon after they are born."</p><p><strong>Source</strong>:</p><p><a href="http://blogs.nature.com/news/2013/09/scientists-to-sequence-hundreds-of-newborns-genomes.html">http://blogs.nature.com/news/2013/09/scientists-to-sequence-hundreds-of-newborns-genomes.html</a></p><p><a href="http://www.genome.gov/27554919">http://www.genome.gov/27554919</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34443/opera-an-optimal-genome-scaffolding-program</guid>
	<pubDate>Mon, 27 Nov 2017 10:18:20 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34443/opera-an-optimal-genome-scaffolding-program</link>
	<title><![CDATA[Opera: An optimal genome scaffolding program]]></title>
	<description><![CDATA[<p><span>Opera (Optimal Paired-End Read Assembler) is a sequence assembly program (</span><a href="http://en.wikipedia.org/wiki/Sequence_assembly" target="_blank">http://en.wikipedia.org/wiki/Sequence_assembly&nbsp;<img src="https://a.fsdn.com/con/img/icons/external_asset.png" alt="image" style="border: 0px;"></a><span>). It uses information from paired-end or long reads to optimally order and orient contigs assembled from shotgun-sequencing reads.</span><br><br><span>An updated version called OPERA-LG has been re-engineered with features for the assembly of large and complex genomes.</span><br><br><span>Song Gao, Denis Bertrand, Burton K. H. Chia and Niranjan Nagarajan. OPERA-LG: efficient and exact scaffolding of large, repeat-rich eukaryotic genomes with performance guarantees. Genome Biology, May 2016, doi: 10.1186/s13059-016-0951-y.</span><br><br><span>Song Gao, Wing-Kin Sung, Niranjan Nagarajan. Opera: reconstructing optimal genomic scaffolds with high-throughput paired-end sequences. Journal of Computational Biology, Sept. 2011, doi:10.1089/cmb.2011.0170.</span></p>
<p><span>https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0951-y</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/operasf/" rel="nofollow">https://sourceforge.net/projects/operasf/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34488/scripts-for-the-analysis-of-hgt-in-genome-sequence-data</guid>
	<pubDate>Wed, 29 Nov 2017 16:44:10 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34488/scripts-for-the-analysis-of-hgt-in-genome-sequence-data</link>
	<title><![CDATA[Scripts for the analysis of HGT in genome sequence data.]]></title>
	<description><![CDATA[<p><span>Scripts for the analysis of HGT in genome sequence data</span></p><p>Address of the bookmark: <a href="https://github.com/reubwn/hgt" rel="nofollow">https://github.com/reubwn/hgt</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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