BOL: Related items

R Graphs !!

Jit — Fri, 04 Nov 2016 10:48:00 -0500

The blog is a collection of script examples with example data and output plots. R produce excellent quality graphs for data analysis, science and business presentation, publications and other purposes. Self-help codes and examples are provided. Enjoy nice graphs !!

Address of the bookmark: http://rgraphgallery.blogspot.be/

Next generation sequencing in R or bioconductor environment

John Parker — Mon, 02 Jun 2014 18:03:09 -0500

There are many R software and bioconductor packages for NGS data analysis, some of them are as follows

Biostrings

The Biostrings package from Bioconductor provides an advanced environment for efficient sequence management and analysis in R. It contains many speed and memory effective string containers, string matching algorithms, and other utilities, for fast manipulation of large sets of biological sequences. The objects and functions provided by Biostrings form the basis for many other sequence analysis packages. Documentation

IRanges Overview

IRanges provides the low-level infrastructure and containers for handling sets of integer ranges within Bioconductor's BioC-Seq domain. Its classes and methods provide support for many more high-level packages like GenomicRanges, ShortRead, Rsamtools, etc. Documentation

GenomicRanges Overview

The GenomicRanges package serves as the foundation for representing genomic locations within the Bioconductor project. It is built upon the IRanges infrastructure and defines three major data containers - GRanges, GRangesList and GappedAlignments - which are supporting other important BioC-Seq packages including ShortRead, Rsamtools, rtracklayer, GenomicFeatures and BSgenome. Compared to the IRanges container, the GRanges/GRangesList classes are more flexible and extensible to store additional information about sequence ranges, such as chromosome identifiers (sequence space), strand information and annotation data. Documentation

Motif Discovery

cosmo

The cosmo package allows to search a set of unaligned DNA sequences for a shared motif that may function as transcription factor binding site. The algorithm extends the popular motif discovery tool MEME (Bailey and Elkan, 1995) in that it allows the search to be supervised by specifying a set of constraints that the motif to be discovered must satisfy. Documentation

BCRANK

BCRANK is a method that takes a ranked list of genomic regions as input and outputs short DNA sequences that are overrepresented in some part of the list. The algorithm was developed for detecting transcription factor (TF) binding sites in a large number of enriched regions from high-throughput ChIP-chip or ChIP-seq experiments, but it can be applied to any ranked list of DNA sequences. Documentation

rGADEM: Documentation

MotIV: Documentation

ShortRead

The ShortRead package provides input, quality control, filtering, parsing, and manipulation functionality for short read sequences produced by high throughput sequencing technologies. While support is provided for many sequencing technologies, this package is primairly focused on Solexa/Illumina reads. Documentation

Rsamtools

Rsamtools provides functions for parsing and inspecting samtools BAM formatted binary alignment data. SAM/BAM is quickly becoming a universal standard alignment format, and is now supported by a wide variety of alignment tools. Documentation

Samtools Website
BWA (Burrows-Wheeler Alignment) Website

Additional tools for SNP analysis:

snpMatrix

BSgenome

BSgenome provides an object oriented infrastructure for interacting with a Biostring based genome sequence. BSgenome packages exist for many common genomes, and can be created to represent custom genomes. See the "How to forge a BSgenome data package" Vignette for instructions to create a new BSgenome package if a prebuilt package does not exist for your organism. Documentation

rtracklayer

rtracklayer provides an interface for exporting annotation feature data to various genome browsers and file formats (such as GFF). See the Small RNA Profiling exercise for an example of using rtracklayer to visualize alignment coverage. Documentation

biomaRt

The biomaRt package, provides an interface to a growing collection of databases implementing the BioMart software suite (http:// www.biomart.org). The package enables online retrieval of large amounts of data in a uniform way without the need to know the underlying database schemas. This data is retrieved automatically via the Internet, so it's recommended that you cache the data locally, or check versions if your code will be adversely affected by updates to these data. Documentation

ChIP-Seq Analysis Packages

Bioconductor provides various packages for analyzing and visualizing ChIP-Seq data. Only a small selection of these packages is introduced here. Additional useful introductions to this topic are: BioC ChIP-seq Case Study and BioC ChIP-Seq.

chipseq

The chipseq package combines a variety of HT-Seq packages to a pipeline for ChIP-Seq data analysis. Documentation

BayesPeak

BayesPeak is a peak calling package for identifying DNA binding sites of proteins in ChIP-Seq experiments. Its algorithm uses hidden Markov models (HMM) and Bayesian statistical methods. The following sample code introduces the identification of peaks with the BayesPeak package as well as the incorporation of read coverage information obtained by the chipseq package. Documentation [ Publication ]

PICS

The PICS package applies probabilistic inference to aligned-read ChIP-Seq data in order to identify regions bound by transcription factors. PICS identifies enriched regions by modeling local concentrations of directional reads, and uses DNA fragment length prior information to discriminate closely adjacent binding events via a Bayesian hierarchical t-mixture model. The following sample code uses the test data set from the above BayesPeak package in order to compare the results from both methods by identifying their consensus peak set. Documentation [ Publication ]

ChIPpeakAnno

The ChIPpeakAnno package provides. batch annotation of the peaks identified from either ChIP-seq or ChIP-chip experiments. It includes functions to retrieve the sequences around peaks, obtain enriched Gene Ontology (GO) terms, find the nearest gene, exon, miRNA or custom features such as most conserved elements and other transcription factor binding sites supplied by users. The package leverages the biomaRt, IRanges, Biostrings, BSgenome, GO.db, multtest and stat packages. Documentation

Additional ChIP-Seq Packages

DiffBind: Documentation

MOSAICS: Documentation

iSeq: Documentation

ChIPseqR: Documentation

ChiPsim: Documentation

CSAR: Documentation

ChIP-Seq Pipeline: PICS, rGADEM and MotIV (developer web site)

SPP: ChIP-seq processing pipeline

SPP Tutorial

MACS

SIPeS

RNA-Seq Analysis

Counting Reads that Overlap with Annotation Ranges

The GenomicRanges package provides support for importing into R short read alignment data in BAM format (via Rsamtools) and associating them with genomic feature ranges, such as exons or genes. This way one can quantify the number of reads aligning to annotated genomic regions. The package defines general purpose containers for storing genomic intervals as well as more specialized containers for storing alignments against a reference genome. The two main functions for read counting provided by this infrastructure are countOverlaps and summarizeOverlaps. For their proper usage, it is important to read the corresponding PDF manual. Documentation

Differential Gene Expression Analysis with DESeq

The DESeq package contains functions to call differentially expressed genes (DEGs) in count tables based on a model using the negative binomial distribution. It expects as input a data frame with the raw read counts per region/gene of interest (rows) for each test sample (columns). Such a count table can be imported into R or generated from BAM alignment files using the countOverlaps function as introduced above. Documentation

Differential Gene Expression Analysis with edgeR

The edgeR package uses empirical Bayes estimation and exact tests based on the negative binomial distribution to call differentially expressed genes (DEGs) in count data.

Documentation

A variety of additional R packages are available for normalizing RNA-Seq read count data and identifying differentially expressed genes (DEG):

easyRNASeq (simplifies read counting per genome feature)

DEXSeq (Inference of differential exon usage); parathyroidSE explains how to generate exon read counts in R

DEGseq

baySeq (also see: segmentSeq)

Genominator (Bullard et al. 2010)

Detection of Alternative Splice Junctions

Another utility of RNA-Seq experiments is the analysis of splice junctions. The following software suggestions provide this utility:

ERANGE
TopHat

SpliceMap

SplitSeek

DNA-Methylation Data Analysis

methylPipe
bsseq
BiSeq
Much more under BiocViews

HT-Seq Data Visualization

ggbio: ggplot2 extension for genomics data (online manual) Gviz: Plotting data and annotation information along genomic coordinates HilbertVis: Hilbert genome plots

GenomeGraphs: Plotting genomic information from Ensembl

TileQC: Flow Cell Quality Visualization

rtracklayer: R interface to genome browsers

genoPlotR: Plotting maps of genes and genomes

Genominator: Tools for storing, accessing, analyzing and visualizing genomic data.

To install all packages

source("http://bioconductor.org/biocLite.R")
biocLite()
biocLite(c("ShortRead", "Biostrings", "IRanges", "BSgenome", "rtracklayer", "biomaRt", "chipseq", "ChIPpeakAnno", "Rsamtools", "BayesPeak", "PICS", "GenomicRanges", "DESeq", "edgeR", "leeBamViews", "GenomicFeatures", "BSgenome.Celegans.UCSC.ce2"))

Statistical for biological research

Neel — Thu, 03 Nov 2016 04:59:48 -0500

There is no disputing the importance of statistical analysis in biological research, but too often it is considered only after an experiment is completed, when it may be too late.

This collection highlights important statistical issues that biologists should be aware of and provides practical advice to help them improve the rigor of their work.

Nature Methods' Points of Significance column on statistics explains many key statistical and experimental design concepts. Other resources include an online plotting tool and links to statistics guides from other publishers.

Address of the bookmark: http://www.nature.com/collections/qghhqm

ALE: a Generic Assembly Likelihood Evaluation Framework for Assessing the Accuracy of Genome and Metagenome Assemblies

Neel — Tue, 26 Apr 2016 03:38:43 -0500

Assembly Likelihood Evaluation (ALE) framework that overcomes these limitations, systematically evaluating the accuracy of an assembly in a reference-independent manner using rigorous statistical methods. This framework is comprehensive, and integrates read quality, mate pair orientation and insert length (for paired-end reads), sequencing coverage, read alignment and k-mer frequency. ALE pinpoints synthetic errors in both single and metagenomic assemblies, including single-base errors, insertions/deletions, genome rearrangements and chimeric assemblies presented in metagenomes. At the genome level with real-world data, ALE identifies three large misassemblies from the Spirochaeta smaragdinae finished genome, which were all independently validated by Pacific Biosciences sequencing. At the single-base level with Illumina data, ALE recovers 215 of 222 (97%) single nucleotide variants in a training set from a GC-rich Rhodobacter sphaeroides genome. Using real Pacific Biosciences data, ALE identifies 12 of 12 synthetic errors in a Lambda Phage genome, surpassing even Pacific Biosciences' own variant caller, EviCons. In summary, the ALE framework provides a comprehensive, reference-independent and statistically rigorous measure of single genome and metagenome assembly accuracy, which can be used to identify misassemblies or to optimize the assembly process.

More at http://www.ncbi.nlm.nih.gov/pubmed/23303509

Address of the bookmark: http://sc932.github.io/ALE/about.html

ART: Set of Simulation Tools

Jit — Thu, 03 Nov 2016 08:28:25 -0500

ART is a set of simulation tools to generate synthetic next-generation sequencing reads. ART simulates sequencing reads by mimicking real sequencing process with empirical error models or quality profiles summarized from large recalibrated sequencing data. ART can also simulate reads using user own read error model or quality profiles. ART supports simulation of single-end, paired-end/mate-pair reads of three major commercial next-generation sequencing platforms: Illumina's Solexa, Roche's 454 and Applied Biosystems' SOLiD. ART can be used to test or benchmark a variety of method or tools for next-generation sequencing data analysis, including read alignment, de novo assembly, SNP and structure variation discovery. ART was used as a primary tool for the simulation study of the 1000 Genomes Project . ART is implemented in C++ with optimized algorithms and is highly efficient in read simulation. ART outputs reads in the FASTQ format, and alignments in the ALN format. ART can also generate alignments in the SAM alignment or UCSC BED file format. ART can be used together with genome variants simulators (e.g. VarSim) for evaluating variant calling tools or methods.

Address of the bookmark: http://www.niehs.nih.gov/research/resources/software/biostatistics/art/

Special Project Scientist – Sorghum Genomics

Tue, 20 May 2014 00:34:39 -0500

ICRISAT is seeking applications from Indian Nationals for a Special Project Scientist to work on a sorghum genomics activities related to sequencing/re-sequencing projects utilizing New Generation Sequencing platforms.

The Job detail

Advancing the SNP-discovery and polymorphism assessment work across several germplasm panels representing global genetic diversity
Population genetic and genomic analyses, testing the hypothesis related to adaptation in multiple geographic regions
Develop SNP assays from large scale GBS and other re-sequencing data for several target traits utilizing available phenotyping data
Combined analyses of genotypic and phenotypic data for discovery of marker-trait associations, and conducting GWAS
Processing, analyzing, and archiving large-scale genomic data sets, assessing data quality, conducting analyses, interpreting findings, and communicating findings to others including preparation of reports, presentations, posters and journal articles
Providing support to MSc and PhD students on topic related to its major core of research
Any other work assigned by the supervisor

The Person:

PhD in bioinformatics, genetics, computational biology preferably with 1 to 2 years of experience;
familiar with standard bioinformatics tools and scripting languages and emerging and evolving software platforms relevant to bioinformatics and computational biology;
ability to create new analytical pipelines; experience with handling large data sets;
ability to program in at least two of the following: C++, PERL, Python, R, Java.
will use next-generation sequencing technologies to generate marker data for genetic mapping and transcriptome data for expression QTL mapping, and will be responsible for data generation as well as data analysis.

Period and Remuneration: The assignment is for a period of two years, and can be extended for another year depending on performance. ICRISAT pays a very attractive all inclusive lump sum assignment fee payable in Indian Rupees.

How to Apply: Please send your application by email to icrisatjobs@cgiar.org, stating the job title (Special project Scientist-Sorghum Genomics) clearly in the subject column, addressed to the Director, Human Resources and Operations, ICRISAT, Patancheru, Andhra Pradesh 502 324, India, latest by 10 June 2014. The application should include an up-to-date Curriculum Vitae, a short statement of competencies and experience for the position, and the names and addresses (including phone/e-mail) of three referees. Only short-listed candidates will be contacted.

More at: http://www.icrisat.org/careers/Special-Project-Scientist-Sorghum-Genomics.htm

RA at IISR Kozhikode

Thu, 15 May 2014 10:08:09 -0500

INDIAN INSTITUTE OF SPICES RESEARCH
(Indian Council of Agricultural Research)
Marikunnu P.O., Kozhikode – 673 012, Kerala

Walk- in- Test cum Interview (based on test) for the selection of Research Associate

under the scheme “Distributed Information Sub Centre –DISC” & Research Assistant under scheme “Phytophthora, Fusarium and Ralstonia diseases of Horticultural and Field Crops” will be held at this Institute as per details indicated below.

WALK -IN- TEST CUM INTERVIEW

Name of the post : Research Associate

Date of Interview : 21-05-2014 at 10.00 AM

No. of posts : One

Qualifications : a)Essential

Ph.D Degree in Bioinformatics OR : Masters degree in Bioinformatics with a minimum of
60% marks or equivalent OGPA with at least two years research experience as evidenced from fellowship/ associateship/training/published papers etc.

b)Desirable: Experience in NGS data analysis.

Emoluments : Rs. 23,000/- per month + HRA (Masters Degree Holders)

Rs. 24,000/- per month + HRA (Ph.D Degree Holders)

Upper age limit : 40 years for Men & 45 years for Women as on date of Interview (Upper Age limits are relaxable for SC, ST and OBC candidates as per Govt. of India norms (at present 5 years for SC/ST and 3 years for OBC)

Duration of Project : Till 31-03-2017.

Title of Assigment : Research Assistant (on contract basis)

No. of vacancy : One

Qualification : Essential : Post Graduation in Bioinformatics and Minimum one year experience in NGS data analysis

Desirable : Experience in Perl/Python/R

Remuneration : Rs. 20,000/- per month (consolidated)

Scope of work :

1. Analysis of different file formats and their conversions.

2. Assessing the quality of data and filtering of raw reads.
3. Assembling the raw reads-de novo as well as reference mapping.
4. Compression of aligned reads using Jam tools
5. RNA-seq. Analysis
6. Differential expression testing involving Normalization, Statistical testing, heat map generation & hierarchical clustering
7. Annotating the assembled genome and geneet testing and their validation
8. Metabolic pathway analysis
9. Comparative genomics
10. Setting up of genome browsers.

Period of Assigment : Initially for six months.

Date & Venue of Interview : 21-05-2014 at IISR, Kozhikode at 10.00 AM

More at http://www.spices.res.in/pdf/disc-advtmnt.pdf

GAEMR

Jit — Tue, 14 Jun 2016 06:18:37 -0500

The Genome Assembly Evaluation Metrics and Reporting (GAEMR) package is an assembly analysis framework composed a number of integrated modules. These modules can be executed as a single program to generate a complete analysis report, or executed individually to generate specific charts and tables. GAEMR standardizes input by converting a variety of read types to Binary Alignment Map (BAM) format, allowing a single input format to be entered into GAEMR’s analysis pipeline, hence enabling the generation of standard reports.

GAEMR’s analysis philosophy is centered on contiguity, correctness, and completeness -- how many pieces in an assembly composed of, how well those pieces accurately represent the genome sequenced, and how much of that genome is represented by those pieces. By performing over twenty different analyses based on these principles, GAEMR gives a clear picture of the condition of a genome assembly.

Address of the bookmark: https://www.broadinstitute.org/software/gaemr/

R Graphical Cookbook by Winston Chang

Abhimanyu Singh — Fri, 04 Nov 2016 12:50:30 -0500

R Graphical Cookbook by Winston Chang

A very nice book by Winston Chang for R ethusiast. The R code presented in these pages is the R code actually used to produce the Figures in the book. There will be differences compared to the code chunks shown in the text of the book, but in most cases the differences will be that these pages contain additional code to lay out multiple plots on a single "page".

The code presented for each figure is self-contained, i.e., all code required to produce the figure is included. This means that there is sometimes considerable overlap of code between several figures In some cases, it may be necessary to install an add-on package from CRAN to get the code to run.

More books at http://www.e-reading.club/bookreader.php/137370/C486x_APPb.pdf

Computer simulation of genetic mechanism !!

Jit — Sun, 13 Mar 2016 09:29:56 -0500

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

Simulation models have become important tools in Bioinformatics studies. There are many reasons for this, but we emphasize three of the more important:

(1) they enable exploration of hypotheses, and as such, have become invaluable means to guide research;

(2) they are unique approaches to integrate (in the literal term of the word) biological knowledge, in the form of experimental results; and

(3) they enable connecting biology with other fields of study ranging from physiology to genomics;

This blog, and this software list, is intended to guide the potential user of simulation models.
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.

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.

Software Resource	Brief Description and Homepage
Aladyn	Tools to investigate how demographic parameters, populations genetics and abiotic conditions affect the rate of adaptation http://www.katja-schiffers.eu/research.html
ALF	A Simulation Framework for Genome Evolution http://www.cbrg.ethz.ch/alf
ART	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. http://www.niehs.nih.gov/research/resources/software/biostatistics/art/
BAMSurgeon	Methods for realistic simulation of mutations in real data. https://github.com/adamewing/bamsurgeon
Bayesian Serial SimCoal	Bayesian Serial SimCoal, (BayeSSC) is a modification of SIMCOAL 1.0, a program written by Laurent Excoffier, John Novembre, and Stefan Schneider. http://www.stanford.edu/group/hadlylab/ssc/index.html
BaySICS	An integral platform with a graphical interface for statistical inference based on approximate Bayesian computation. https://sites.google.com/site/baysicsabc/
BEERS	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 http://cbil.upenn.edu/beers/
BOTTLENECK	Bottleneck is a program for detecting recent effective population size reductions from allele data frequencies http://www.ensam.inra.fr/urlb/bottleneck/bottleneck.html
BottleSim	BottleSim is a computer simulation program for simulating the process of population bottlenecks http://chkuo.name/software/bottlesim.html
CASS	Protein Sequence Simulation https://liberles.cst.temple.edu/software/cass/index.html
CDPOP	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. http://cel.dbs.umt.edu/cdpop
Classical Genetics Simulator	Web-based simulation software http://www.cgslab.com/
CoaSim	CoaSim is a tool for simulating the coalescent process with recombination and geneconversion under various demographic models. http://users-birc.au.dk/mailund/coasim/index.html
cosi	The cosi package is written in C and is available as a tar file. http://www.broadinstitute.org/~sfs/cosi/
CS-PSeq-Gen	A program to simulate the evolution of protein sequences under the constraints of the information of a particular reconstructed phylogeny http://bioserv.rpbs.univ-paris-diderot.fr/software/cs-pseq-gen/
DAWG	An application designed to simulate the evolution of recombinant DNA sequences in continuous time http://scit.us/projects/dawg
Easypop	EASYPOP is an individual based model intended to simulate datasets under a very broad range of conditions http://www.unil.ch/dee/en/home/menuinst/softwares--dataset/softwares/easypop.html
EggLib	EggLib is a C++/Python library and program package for evolutionary genetics and genomics. http://egglib.sourceforge.net/
EpiSIM	EpiSIM: simulation of multiple epistasis, linkage disequilibrium patterns and haplotype blocks for genome-wide interaction analysis https://sourceforge.net/projects/episimsimulator/files/
EvolSimulator	A simulation test bed for hypotheses of genome evolution http://acb.qfab.org/acb/evolsim/
EvolveAGene	A realistic coding sequence simulation program that separates mutation from selection and allows the user to set selection conditions http://bellinghamresearchinstitute.com/software/index.html
fastsimcoal	A continuous-‐time coalescent simulator of genomic diversity under arbitrarily complex evolutionary scenarios http://cmpg.unibe.ch/software/fastsimcoal/
FastSLINK	Simulation of Marker and Phenotype Data in Pedigrees https://watson.hgen.pitt.edu/
FFPopSim	C++/Python library for population genetics. http://webdav.tuebingen.mpg.de/ffpopsim/
FLUX SIMULATOR	The Flux Simulator aims at providing a deterministic in silico reproduction of the experimental pipelines for RNA-Seq, employing a minimal set of parameters. http://sammeth.net/confluence/display/sim/home
forqs	Forward-in-time simulation of Recombination, Quantitative Traits, and Selection https://bitbucket.org/dkessner/forqs
ForSim	ForSim: A Forward Evolutionary Computer Simulation http://anth.la.psu.edu/research/weiss-lab/research/research
ForwSim	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. http://badri-populationgeneticsimulators.blogspot.com/
FPG	Forward Population Genetic simulation https://bio.cst.temple.edu/~hey/software/software.htm#fpg
FREGENE	FREGENE is a C++ program that simulates sequence-like data over large genomic regions in large diploid populations. http://www.ebi.ac.uk/projects/bargen
FIGG	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 http://insilicogenome.sourceforge.net/
fwdpp	A C++ template library for implementing efficient forward simulations. http://molpopgen.github.io/fwdpp/
GAMETES	Genetic Architecture Model Emulator for Testing and Evaluating Software: Simulates complex SNP models with pure, strict epistatic interactions with n-loci. http://sourceforge.net/projects/gametes/?source=navbar
GASP	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. http://research.nhgri.nih.gov/gasp/
GCTA	Genome-wide Complex Trait Analysis http://www.complextraitgenomics.com/software/gcta/download.html
GemSIM	Next generation sequencing read simulator http://sourceforge.net/projects/gemsim/
GeneArtisan	Simulation of Markers in Case-Control Study Designs http://www.rannala.org/?page_id=241
GENOME	A rapid coalescent-based whole genome simulator http://www.sph.umich.edu/csg/liang/genome/
GenomePop2	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. https://ritchielab.psu.edu/research/research-areas/statistical-genetics-and-gen-epi/methods/genomesimla
GenomeSimla	GenomeSIMLA is currently under development- however, we have a beta release that we are asking to be tested http://chgr.mc.vanderbilt.edu/genomesimla/
GENS2	Simulates interactions among two genetic and one environmental factor and also allows for epistatic interactions. https://sourceforge.net/projects/gensim/
GWAsimulator	A rapid whole genome simulation program http://biostat.mc.vanderbilt.edu/wiki/main/gwasimulator
HAP-SAMPLE	An association simulator for candidate regions or genome scans http://www.hapsample.org/
HAPGEN	A simulator for the simulation of case control datasets at SNP markers https://mathgen.stats.ox.ac.uk/genetics_software/hapgen/hapgen2.html
HapSim	A simulation tool for generating haplotype data with pre-specified allele frequencies and LD coefficients http://cran.r-project.org/web/packages/hapsim/index.html
HAPSIMU	A program that simulates heterogeneous populations with various known and controllable structures under the continuous migration model or the discrete model http://l.web.umkc.edu/liujian/
IBDsim	IBDSim is a computer package for the simulation of genotypic data under general isolation by distance models. http://raphael.leblois.free.fr/
indel-Seq-Gen	A biological sequence simulation program that simulates highly divergent DNA sequences and protein superfamilies http://bioinfolab.unl.edu/~cstrope/isg/
Indelible	A powerful and flexible simulator of biological evolution http://abacus.gene.ucl.ac.uk/software/indelible/
invertFREGENE	InvertFREGENE is a forward-in-time simulator of inversions in population genetic data http://www.ebi.ac.uk/projects/bargen/
kernalPop	A spatially explicit population genetic simulation engine http://cran.r-project.org/src/contrib/archive/kernelpop/
MaCS	Markovian Coalescent Simulator http://www-hsc.usc.edu/~garykche/
Marlin	Marlin provides a user-friendly interface for performing forward-in-time population genetic simulations. http://www.patrickmeirmans.com/software/marlin.html
Mason	A package for the simulation of nucleotide data. http://www.seqan.de/projects/mason/
mbs	modifying Hudson's ms software to generate samples of DNA sequences with a biallelic site under selection http://www.sendou.soken.ac.jp/esb/innan/innanlab/software.html
Mendel's Accountant	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 http://mendelsaccount.sourceforge.net/
MetaPopGen	Simulates genetics in large size metapopulations https://sites.google.com/site/marcoandrello/metapopgen
MetaSim	A tool to generate collections of synthetic reads that reflect the diverse taxonomical composition of typical metagenome data sets http://ab.inf.uni-tuebingen.de/software/metasim/
mlcoalsim	Multilocus Coalescent Simulations http://code.google.com/p/mlcoalsim-v1/
ms	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. http://home.uchicago.edu/~rhudson1/source/mksamples.html
msHOT	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. http://home.uchicago.edu/~rhudson1/
msms	A coalescent Simlation tool with selection. http://www.mabs.at/ewing/msms/index.shtml
MySSP	A program for the simulation of DNA sequence evolution across a phylogenetic tree http://www.rosenberglab.net/software.html
Nemo	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. http://nemo2.sourceforge.net/
NetRecodon	Coalescent simulation of coding DNA sequences with recombination (inter and intracodon), migration and demography http://code.google.com/p/netrecodon/
OncoSimulR	BioConductor package for Forward Genetic Simulation of Cancer Progresion with Epistasis https://github.com/rdiaz02/oncosimul
PEDAGOG	Software for simulating eco-evolutionary population dynamics https://bcrc.bio.umass.edu/pedigreesoftware/node/5
phenosim	A tool to add phenotypes to simulated genotypes http://evoplant.uni-hohenheim.de/doku.php?id=software:software
PhyloSim	An R package for the Monte Carlo simulation of sequence evolution http://www.ebi.ac.uk/goldman-srv/phylosim/
pIRS	Profile-based Illumina pair-end reads simulator https://code.google.com/p/pirs/
ProteinEvolver	Simulation of protein evolution along phylogenies under structure-based substitution models http://code.google.com/p/proteinevolver/
QMSim	QTL and Marker Simulator http://www.aps.uoguelph.ca/~msargol/qmsim/
quantiNEMO	An individual-based program for the analysis of quantitative traits with explicit genetic architecture potentially under selection in a structured population http://www2.unil.ch/popgen/softwares/quantinemo/
RECOAL	Simulates new haplotype data from a reference population of haplotypes. ftp://popgen.usc.edu/
Recodon	Coalescent simulation of coding DNA sequences with recombination, migration and demography http://code.google.com/p/recodon/
rlsim	A package for simulating RNA-seq library preparation with parameter estimation http://bit.ly/rlsim-git
Rmetasim	Rmetasim is a front-end for the metasim engine that is implemented as a package that runs in the statistical computing environment R http://cran.r-project.org/web/packages/rmetasim/index.html
RNA Seq Simulator	RSS takes SAM alignment files from RNA-Seq data and simulates over dispersed, multiple replica, differential, non-stranded RNA-Seq datasets. http://useq.sourceforge.net/cmdlnmenus.html#rnaseqsimulator
Rose	Random model of sequence evolution http://bibiserv.techfak.uni-bielefeld.de/rose/
scrm	A coalescent simulator optimized for long sequences and large samples. https://scrm.github.io/
SelSim	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 http://www.well.ox.ac.uk/~spencer/selsim/
Seq-Gen	An application for the Monte Carlo simulation of molecular sequence evolution along phylogenetic trees. http://tree.bio.ed.ac.uk/software/seqgen/
SEQPower	Statistical power analysis for sequence-based association studies http://bioinformatics.org/spower/
SeqSIMLA	SeqSIMLA can simulate sequence data with user-specified disease and quantitative trait models. Family or unrelated case-control data can be simulated. http://seqsimla.sourceforge.net/
Serial NetEvolve	A flexible utility for generating serially-sampled sequences along a tree or recombinant network http://biorg.cis.fiu.edu/sne/
SFS_CODE	SFS_CODE can perform forward population genetic simulations under a general Wright-Fisher model with arbitrary migration, demographic, selective, and mutational effects. http://sfscode.sourceforge.net/sfs_code/index/index.html
SIBSIM	Quantitative phenotype simulation in extended pedigrees http://sourceforge.net/projects/sibsim/
SimAdapt	A spatially explicit, individual-based, forward-time, landscape-genetic simulation model combined with a landscape cellular automaton. https://www.openabm.org/model/3137
SIMCOAL2	A coalescent program for the simulation of complex recombination patterns over large genomic regions under various demographic models http://cmpg.unibe.ch/software/simcoal2/
SimCopy	An R package simulating the evolution of copy number profiles along a tree. http://bit.ly/simcopy
SIMLA	SIMLA is a SIMuLAtion program that generates data sets of families for use in Linkage and Association studies. http://dmpi.duke.edu/simla-simulation-software-version-32
SimPed	A Simulation Program to Generate Haplotype and Genotype Data for Pedigree Structures http://bioinformatics.org/simped/
Simprot	A program to simulate protein evolution by substitution, insertion and deletion http://www.uhnresearch.ca/labs/tillier/software.htm#3
SimRare	Rare variant simulation and analysis tool http://code.google.com/p/simrare/
simuGWAS	A forward-time simulator that simulates realistic samples for genome-wide association studies. http://simupop.sourceforge.net/cookbook/simugwas
simuPOP	simuPOP is a general-purpose individual-based forward-time population genetics simulation environment. http://simupop.sourceforge.net/
SISSI	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. http://www.cibiv.at/software/sissi/
SMARTPOP	Simulating Mating Alliance as a Reproductive Tactic for Populations http://smartpop.sourceforge.net/
SNPsim	Coalescent simulation of hotspot recombination http://code.google.com/p/phylosoftware/
SPIP	SPIP simulates the transmission of genes from parents to offspring in a population having demographic structure defined by the user http://swfsc.noaa.gov/textblock.aspx?division=fed&id=3434
Splatche	Spatial and Temporal Coalescences in Heterogeneous Environment http://www.splatche.com/
srv	Simulator of Rare Varaints (srv) is a simulator for the simulation of the introduction and evolution of (rare) genetic variants. http://simupop.sourceforge.net/cookbook/simurarevariants
SUP	SLINK/FastSLINK utility program http://mlemire.freeshell.org/software.html
TreesimJ	A flexible, forward-time population genetic simulator http://code.google.com/p/treesimj/
Variant Simulation Tools	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. http://varianttools.sourceforge.net/simulation/homepage
Vortex	VORTEX is an individual-based simulation model for population viability analysis (PVA). http://www.vortex9.org/vortex.html
Wessim	Whole Exome Sequencing SIMulator http://sak042.github.io/wessim/