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http://www.reading.ac.uk/Statistics/genetics/software.html

Software application for Bayesian estimation of the population inbreeding coefficient f (entry from Genetic Analysis Software)

Proper citation: HWMET (RRID:SCR_013480) Copy   

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http://pga.gs.washington.edu/VH1.html

Software application for displaying estimated haplotype data (entry from Genetic Analysis Software)

Proper citation: VH (RRID:SCR_013402) Copy   

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http://www.stat.washington.edu/thompson/Genepi/Eclipse.shtml

A set of three programs, preproc, eclipse2 and eclipse3 which analyze genetic marker data for genotypic errors and pedigree errors. Using a single preprocessing program (preproc), eclipse2 analyzes data on pairs of individuals, and eclise3 analyzes data jointly on trios. (entry from Genetic Analysis Software)

Proper citation: ECLIPSE (RRID:SCR_013130) Copy   

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http://csg.sph.umich.edu//abecasis/GRR/

A graphical tool designed for detection of errors in relationship specification in general pedigrees by use of genome scan marker data. (entry from Genetic Analysis Software)

Proper citation: GRR (RRID:SCR_013496) Copy   

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http://www.stat.washington.edu/thompson/Genepi/Pedfiddler.shtml

Software suite of six programs that can be used as a stand-alone extension of the pedigree drawing facilities found in the publicly available version of PEDPACK. (entry from Genetic Analysis Software)

Proper citation: PEDFIDDLER (RRID:SCR_013376) Copy   

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http://pga.gs.washington.edu/VG2.html

Software program that presents complete raw datasets of individuals'' genotype data using a display format with samples as rows and polymorphisms as columns. The color code is: (1) blue: homozygous genotype for the common allele; (2) red: heterozygous genotype; (3) yellow: homozygous genotype for the rare allele; and (4) grey: missing data (entry from Genetic Analysis Software)

Proper citation: VG (RRID:SCR_013378) Copy   

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http://www.bios.unc.edu/~lin/software/tagIMPUTE/

A command-line program for the imputation of untyped SNPs. tagIMPUTE is based on a few flanking SNPs that can optimally predict the SNP under imputation. (entry from Genetic Analysis Software)

Proper citation: TAGIMPUTE (RRID:SCR_013338) Copy   

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http://www.dynacom.co.jp/u-tokyo.ac.jp/snphitlink/

Software program providing a useful pipeline to directly connect SNP data and linkage analysis program. SNP HiTLink currently supports the data from SNP chips provided by Affymetrix (Mapping 100k/500k array set, Genome-Wide Human SNP array 5.0/6.0) and Illumina (recently supported), carrying out typical linkage analysis programs of MLINK (FASTLINK/ LINKAGE package), Superlink, Merlin and Allegro. (entry from Genetic Analysis Software)

Proper citation: SNP HITLINK (RRID:SCR_013340) Copy   

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http://software.bfh-inst2.de/download3.html

Software application (entry from Genetic Analysis Software)

Proper citation: SGS (RRID:SCR_013460) Copy   

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http://www.stat.washington.edu/thompson/Genepi/Mcleeps.shtml

Software application (entry from Genetic Analysis Software)

Proper citation: MCLEEPS (RRID:SCR_013062) Copy   

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http://www.helsinki.fi/~tsjuntun/autoscan/

A helper program to automate the tedious process of the creation of input files from genotype data of genome-wide scans (entry from Genetic Analysis Software)

Proper citation: AUTOSCAN (RRID:SCR_013510) Copy   

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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   

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http://www.emory.edu/LIVING_LINKS/

The primary mission of the Living Links Center is to study human evolution by investigating our close genetic, anatomical, cognitive, and behavioral similarities with great apes. The Living Links Center was established for primate studies that shed light on human behavioral evolution. It is an integrated part of the Yerkes National Primate Research Center, which is the nation's oldest and largest primate center. The Living Links Center is home to two socially housed groups of chimpanzees and two socially housed groups of capuchin monkeys. The research conducted in this center is broken down into four categories: - Chimpanzees: Chimpanzee research at the Living Links Center is conducted at the Yerkes Field Station, which is home to two socially housed chimpanzee groups known as FS1 and FS2. Each mixed gender group of 12 individuals lives in a large outdoor enclosure with wooden climbing structures and play objects attached to an indoor sleeping area. FS1 and FS2 can hear, but not see each other because their enclosures are ~200m apart and separated by a small hill. Chimpanzee research is conducted on a volunteer basis with members of each group. - Elephants: This newly found presence of mirror self-recognition in elephants, previously predicted due to their well-known social complexity, is thought to relate to empathetic tendencies and the ability to distinguish oneself from others. As a result of this study, the elephant now joins a cognitive elite among animals commensurate with its well-known complex social life and high level of intelligence. Although elephants are far more distantly related to us than the great apes, they seem to have evolved similar social and cognitive capacities making complex social systems and intelligence part of this picture. These parallels between humans and elephants suggest a convergent cognitive evolution possibly related to complex sociality and cooperation. - Capuchin Monkeys: Though there are several different species of capuchin monkey, the one most widely studied in captivity by Living Links, is the brown, or tufted, capuchin (Cebus apella). - Collaborative Projects: projects with collaborators around the world. Sponsors: This center is supported by the Yerkes National Primate Research Center.

Proper citation: Living Links: Center for the Advanced Study of Ape and Human Evolution (RRID:SCR_001776) Copy   

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http://hugenavigator.net/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023. Knowledge base of genetic associations and human genome epidemiology including information on population prevalence of genetic variants, gene-disease associations, gene-gene and gene- environment interactions, and evaluation of genetic tests. This tool explores HuGENet, the Human Genome Epidemiology Network, which is a global collaboration of individuals and organizations committed to the assessment of the impact of human genome variation on population health and how genetic information can be used to improve health and prevent disease. What does HuGE Navigator offer? *HuGEpedia - an encyclopedia of human genetic variation in health and disease, includes, Phenopedia and Genopedia. Phenopedia allows you to look up gene-disease association summaries by disease, and Genopedia allows you to look up gene-disease association summaries by gene. In general, HuGEpedia is a searchable database that summarizes published articles about human disease and genetic variation, including primary studies, reviews, and meta-analyses. It provides links to Pubmed abstracts, researcher contact info, trends, and more. *HuGEtools - searching and mining the literature in human genome epidemiology, includes, HuGE Literature Finder, HuGE Investigator Browser, Gene Prospector, HuGE Watch, Variant Name Mapper, and HuGE Risk Translator. *HuGE Literature Finder finds published articles in human genome epidemiology since 2001. The search query can include genes, disease, outcome, environmental factors, author, etc. Results can be filtered by these categories. It is also possible to see all articles in the database for a particular topic, such as genotype prevalence, pharmacogenomics, or clinical trial. *HuGE Investigator Browser finds investigators in a particular field of human genome epidemiology. This info is obtained using a behind-the-scenes tool that automatically parses PubMed affiliation data. *Gene Prospector is a gateway for evaluating genes in relation to disease and risk factors. This tool allows you to enter a disease or risk factor and then supplies you with a table of genes associated w/your query that are ranked based on strength of evidence from the literature. This evidence is culled from the HuGE Literature Finder and NCBI Entrez Gene - And you're given the scoring formula. The Gene Prospector results table provides access to the Genopedia entry for each gene in the list, general info including links to other resources, SNP info, and associated literature from HuGE, PubMed, GWAS, and more. It is a great place to locate a lot of info about your disease/gene of interest very quickly. *HuGE Watch tracks the evolution of published literature, HuGE investigators, genes studied, or diseases studied in human genome epidemiology. For example, if you search Trend/Pattern for Diseases Studied you'll initially get a graph and chart of the number of diseases studied per year since 1997. You can refine these results by limiting the temporal trend to a category or study type such as Gene-gene Interaction or HuGE Review. *Variant Name Mapper maps common names and rs numbers of genetic variants using information from SNP500Cancer, SNPedia, pharmGKB, ALFRED, AlzGene, PDGene, SZgene, HuGE Navigator, LSDBs, and user submissions. *HuGE Risk Translator calculates the predictive value of genetic markers for disease risk. To do so, users must enter the frequency of risk variant, the population disease risk, and the odds ratio between the gene and disease. This information is necessary in order to yield a useful predictive result. *HuGEmix - a series of HuGE related informatics utilities and projects, includes, GAPscreener, HuGE Track, Open Source. GAPscreener is a screening tool for published literature on human genetic associations; HuGE Track is a custom track built for HuGE data in the UCSC Genome Browser; and Open Source is infrastructure for managing knowledge and information from PubMed.

Proper citation: HuGE Navigator - Human Genome Epidemiology Navigator (RRID:SCR_003172) Copy   

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http://www.qgene.org/

A free, open-source, computationally efficient Java program for comparative analyses of QTL mapping data and population simulation that runs on any computer operating system. (entry from Genetic Analysis Software) It is written with a plug-in architecture for ready extensibility. The software accommodates line-cross mating designs consisting of any arbitrary sequence of selfing, backcrossing, intercrossing and haploid-doubling steps that includes map, population, and trait simulators; and is scriptable. Source code is available on request.

Proper citation: QGene (RRID:SCR_003209) Copy   

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http://wwwn.cdc.gov/dls/genetics/rmmaterials/default.aspx

The goal of the Genetic Testing Reference Materials Coordination Program (GeT-RM) is to coordinate a self-sustaining community process to improve the availability of appropriate and characterized reference materials for: Quality control (QC), Proficiency testing (PT), Test development & validation, Research. The purpose of this program is: - To help the genetic testing community obtain appropriate and characterized reference materials - To facilitate and coordinate information exchange between users and providers of QC and reference materials - To coordinate efforts for contribution, development, characterization and distribution of reference materials for genetic testing Get-RM provides information about cell lines, DNA, and other kinds of materials that could be used as reference materials for molecular genetic testing. Some of these materials have been characterized by the GeT-RM program and can be divided into three categories: - Genetic Inherited Disease & Pharmacogenetics This section includes information about cell lines, DNA, and other samples that can be used as reference materials for various inherited diseases (including cystic fibrosis, fragile X, Huntington disease, and Ashkenazi Jewish-related diseases), pharmacogenetic loci, and biochemical genetics. The GeT-RM program has confirmed the genotype of many of the genomic DNA samples through testing in multiple clinical genetic laboratories. - Molecular Oncology This section includes information about commercially available cell lines, DNA, and other kinds of materials that could be used as reference materials for various types of cancers, including leukemia/lymphoma and solid tumors. - Infectious Disease This section includes information about commercially available cell lines, DNA, and other kinds of materials that could be used as reference materials for various infectious disease pathogens including viruses, bacteria, and protozoa.

Proper citation: Center for Disease Control and Prevention: Genetic Testing Reference Materials Coordination Program (RRID:SCR_013029) Copy   

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http://www.mirecc.va.gov/visn6/

The VISN 6 MIRECC is organized as a translational medicine multi-site center focused on post deployment mental health issues. The overarching goals are improving clinical assessment and treatment and development of novel interventions through basic and clinical research. This MIRECC aims: (1) To determine whether early intervention in post-deployment mental health is effective in forestalling the development or decreasing the severity of post-deployment mental illness, (2) To determine what neuroimaging, genetic, neurocognitive, or other characteristics predict the development of post-deployment mental illness, and (3) To assess the longitudinal course of post-deployment mental illness.

Proper citation: Mid-Atlantic (VISN 6) Mental Illness Research, Education and Clinical Center (RRID:SCR_008077) Copy   

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http://mlemire.freeshell.org/SimM.README

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 6th,2023. Gene dropping simulation software. The program is a gzip'ed tar archive and is designed to run under UNIX/Linux operating system.

Proper citation: SIMM (RRID:SCR_000849) Copy   

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http://centreforstrokerecovery.ca/our-research/research-structure/stroke-patient-recovery-research-database-spred

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 28,2025. The Stroke Patient Recovery Research Database (SPReD) initiative creates the infrastructure needed for the collection of a wide range of data related to stroke risk factors and to stroke recovery. It also promotes the analysis and management of large brain and vessel images. A major goal is to create a comprehensive electronic database Stroke Patient Recovery Research Database or SPReD and populate it with patient data, including demographic, biomarker, genetic and proteomic data and imaging data. SPReD will enable us to combine descriptions of our stroke patients from multiple projects that are geographically distributed. We will do this in a uniform fashion in order to enhance our ability to document rates of recovery; to study the effects of vascular risk factors and inflammatory biomarkers; and to use these data to improve their physical and cognitive recovery through innovative intervention programs. This comprehensive database will provide an integrated repository of data with which our researchers will investigate and test original ideas, ultimately leading to knowledge that can be applied clinically to benefit stroke survivors.

Proper citation: Stroke Patient Recovery Research Database (SPReD) (RRID:SCR_005508) Copy   

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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   

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