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http://wpicr.wpic.pitt.edu/WPICCompGen/bars.htm

Software application that is a statistical method that bridges the gap between single-locus and haplotype-based tests of association. It is based on the non-parametric regression techniques embodied by Bayesian Adaptive Regression Splines. (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: BARS (RRID:SCR_009123) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/mpg/snap/

A computer program and web-based service for the rapid retrieval of linkage disequilibrium proxy single nucleotide polymorphism (SNP) results given input of one or more query SNPs and based on empirical observations from the International HapMap Project and the 1000 Genomes Project. A series of filters allow users to optionally retrieve results that are limited to specific combinations of genotyping platforms, above specified pairwise r2 thresholds, or up to a maximum distance between query and proxy SNPs. SNAP can also generate linkage disequilibrium plots

Proper citation: SNAP - SNP Annotation and Proxy Search (RRID:SCR_002127) Copy   

•   Source: SciCrunch Registry

http://www.sanger.ac.uk/science/tools/carol

Software application that is a combined functional annotation score of non-synonymous coding variants. A major challenge in interpreting whole-exome data is predicting which of the discovered variants are deleterious or neutral. To address this question in silico, they have developed a score called Combined Annotation scoRing toOL (CAROL), which combines information from two bioinformatics tools: PolyPhen-2 and SIFT, in order to improve the prediction of the effect of non-synonymous coding variants. The combination of annotation tools can help improve automated prediction of whole-genome/exome non-synonymous variant functional consequences. (entry from Genetic Analysis Software) The software should run on any UNIX or GNU/Linux system.

Proper citation: CAROL (RRID:SCR_001800) Copy   

•   Source: SciCrunch Registry

http://www.stats.ox.ac.uk/%7Emarchini/software.html

An R package that specifically focuses on statistical and population genetics methods. The motivation behind the package is to produce an easy to use interface to many of the commonly used methods and models used in statistical and population genetics and an alternative interface for some of the methodology produced by our group. (entry from Genetic Analysis Software)

Proper citation: POPGEN (RRID:SCR_007315) Copy   

•   Source: SciCrunch Registry

http://www.biostat.ucsf.edu/sen/rqtldesign.html

Software application to help plan quantitative trait locus (QTL) experiments. (entry from Genetic Analysis Software)

Proper citation: R/QTLDESIGN (RRID:SCR_013424) Copy   

•   Source: SciCrunch Registry

http://www.sph.umich.edu/csg/abecasis/Exact/index.html

Software application for a fast exact Hardy-Weinberg Equilibrium test for SNPs (entry from Genetic Analysis Software)

Proper citation: SNP-HWE (RRID:SCR_008555) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/meta/index.html

Software application for fixed and random effects meta-analysis. Functions for tests of bias, forest and funnel plot. (entry from Genetic Analysis Software)

Proper citation: R/META (RRID:SCR_009175) Copy   

•   Source: SciCrunch Registry

http://www.sanger.ac.uk/resources/software/amelia/

Software application that employs allele matching to analyse the effects of rare variants within a specific locus. There is increasing evidence that rare variants play a role in some complex traits, but their analysis is not straightforward. Locus-based tests become necessary due to low power in rare variant single-point association analyses. In addition, variant quality scores are available for sequencing data, but are rarely taken into account. To enable this analysis, AMELIA has been developed as an allele-matching approach that is robust to the presence of both directions of effect for variants within the locus analysed. (entry from Genetic Analysis Software)

Proper citation: AMELIA (RRID:SCR_009119) Copy   

•   Source: SciCrunch Registry

http://gump.qimr.edu.au/GAIA/gaia.html

Web-based application for testing for locus-locus interaction using genetic association. It is based upon the case-control study design and is designed so that non-specialists may routinely apply tests for interaction. GAIA allows simple testing of both additive and additive plus dominance interaction models and includes permutation testing to appropriately correct for multiple testing. The application is useful for both candidate gene based studies and genome-wide association studies. For large scale studies GAIA includes a screening approach which prioritizes loci for further interaction analysis. (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GAIA (RRID:SCR_009182) Copy   

•   Source: SciCrunch Registry

http://www.sanger.ac.uk/resources/software/ariel/

Software application that explores the effects of rare variants within complex traits through locus-based analysis. There is increasing evidence that rare variants play a role in some complex traits, but their analysis is not straightforward. Locus-based tests become necessary due to low power in rare variant single-point association analyses. In addition, variant quality scores are available for sequencing data, but are rarely taken into account. To enable this analysis, ARIEL has been developed as a locus-wide regression-based collapsing approach that incorporates variant quality scores. (entry from Genetic Analysis Software)

Proper citation: ARIEL (RRID:SCR_009126) Copy   

•   Source: SciCrunch Registry

http://www.stats.ox.ac.uk/~marchini/software.html

A R package for assessing the power of genome-wide association studies using commercially available genotyping chips. The package encapsulates extensive simulation results generated by our program HAPGEN. (entry from Genetic Analysis Software)

Proper citation: GWAPOWER (RRID:SCR_009216) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/web/packages/onemap/index.html

Software environment for constructing linkage maps in outcrossing plant species, using full-sib families derived from two outbreed (non-inbreeding) parent plants. (entry from Genetic Analysis Software)

Proper citation: R/ONEMAP (RRID:SCR_009371) Copy   

•   Source: SciCrunch Registry

http://www.mrc-epid.cam.ac.uk/~jinghua.zhao/r-progs.htm

An integrated software package for genetic data analysis of both population and family data. Currently it contains functions for sample size calculations of both population-based and family-based designs, classic twin ACE/ADE/AE/CE models, probability of familial disease aggregation, kinship calculation, some statistics in linkage analysis, and association analysis involving one or more genetic markers including haplotype analysis with or without environmental covariates (entry from Genetic Analysis Software)

Proper citation: R/GAP (RRID:SCR_009364) Copy   

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https://cran.r-project.org/web/packages/hapassoc/index.html

Software application using a likelihood approach to inference of haplotype and nongenetic effects and their interactions in generalized linear models of disease penetrance, when haplotype phase is unknown for some subjects. Parameter estimates are obtained by use of an expectation-maximization (EM) algorithm and standard errors are calculated using Louis'' formula. (entry from Genetic Analysis Software)

Proper citation: R/HAPASSOC (RRID:SCR_009365) Copy   

•   Source: SciCrunch Registry

http://www.chg.duke.edu/research/simla30.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 29, 2016. Simulation program that generates data sets of families for use in linkage and association studies. SIMLA_3.2 is a major upgrade to versions 2.3 and 3.0 that provides the ability to simulate two disease loci and two environmental covariates. Gene-gene and gene-environment interactions may also be simulated which jointly determine the disease risk of all pedigree members.

Proper citation: SIMULA (RRID:SCR_009390) Copy   

•   Source: SciCrunch Registry

http://www.niehs.nih.gov/research/resources/software/epidemiology/tagster/

Software tool to select, evaluate and visualize LD tag SNPs for single or multiple populations. The input files can be a set of dumped genotype files from International HapMap Project (http://www.hapmap.org/) (Hapmap format) or Seattle SNPs (http://pga.gs.washington.edu/) (Prettybase format). The ouput is a set of LD tag SNPs for single or multiple populations. (entry from Genetic Analysis Software)

Proper citation: TAGSTER (RRID:SCR_009413) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/web/packages/LDheatmap/index.html

Software application that plots measures of pairwise linkage disequilibria for SNPs (entry from Genetic Analysis Software)

Proper citation: LDHEATMAP (RRID:SCR_006312) Copy   

•   Source: SciCrunch Registry

http://wpicr.wpic.pitt.edu/WPICCompGen/hclust/hclust.htm

Software application that is a simple clustering method that can be used to rapidly identify a set of tag SNP's based upon genotype data (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: HCLUST (RRID:SCR_009154) Copy   

•   Source: SciCrunch Registry

http://www.well.ox.ac.uk/happy/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software package for Multipoint QTL Mapping in Genetically Heterogeneous Animals (entry from Genetic Analysis Software) The method is implemented in a C-program and there is now an R version of HAPPY. You can run HAPPY remotely from their web server using your own data (or try it out on the data provided for download).

Proper citation: Happy (RRID:SCR_001395) Copy   

•   Source: SciCrunch Registry

http://www.genabel.org/packages/GenABEL

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. R software library for genome-wide association analysis for quantitative, binary and time-till-event traits.

Proper citation: GenABEL (RRID:SCR_001842) Copy   

•   Source: SciCrunch Registry