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https://reich.hms.harvard.edu/software

Software application that finds skews in ancestry that are potentially associated with disease genes in recently mixed populations like African Americans. It can be downloaded for either UNIX or Linux.

Proper citation: Ancestrymap (RRID:SCR_004353) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/expressionprofiler/

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. The EP:GO browser is built into EBI's Expression Profiler, a set of tools for clustering, analysis and visualization of gene expression and other genomic data. With it, you can search for GO terms and identify gene associations for a node, with or without associated subnodes, for the organism of your choice.

Proper citation: Expression Profiler (RRID:SCR_005821) Copy   

•   Source: SciCrunch Registry

http://igs-server.cnrs-mrs.fr/mgdb/Rickettsia/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 18, 2016. Rickettsia are obligate intracellular bacteria living in arthropods. They occasionally cause diseases in humans. To understand their pathogenicity, physiologies and evolutionary mechanisms, RicBase is sequencing different species of Rickettsia. Up to now we have determined the genome sequences of R. conorii, R. felis, R. bellii, R. africae, and R. massiliae. The RicBase aims to organize the genomic data to assist followup studies of Rickettsia. This website contains information on R. conorii and R. prowazekii. A R. conorii and R. prowazekii comparative genome map is also available. Images of genome maps, dendrogram, and sequence alignment allow users to gain a visualization of the diagrams.

Proper citation: Rickettsia Genome Database (RRID:SCR_007102) Copy   

•   Source: SciCrunch Registry

http://chgr.mc.vanderbilt.edu/page/gist

Software package to test if a marker can account in part for the linkage signal in its region. There are two versions of the software: Windows and Linux/Unix.

Proper citation: Genotype-IBD Sharing Test (RRID:SCR_006257) Copy   

•   Source: SciCrunch Registry

http://genetrail.bioinf.uni-sb.de/

A web-based application that analyzes gene sets for statistically significant accumulations of genes that belong to some functional category. Considered category types are: KEGG Pathways, TRANSPATH Pathways, TRANSFAC Transcription Factor, GeneOntology Categories, Genomic Localization, Protein-Protein Interactions, Coiled-coil domains, Granzyme-B clevage sites, and ELR/RGD motifs. The web server provides two statistical approaches, "Over-Representation Analysis" (ORA) comparing a reference set of genes to a test set, and "Gene Set Enrichment Analysis" (GSEA) scoring sorted lists of genes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GeneTrail (RRID:SCR_006250) Copy   

•   Source: SciCrunch Registry

http://www003.upp.so-net.ne.jp/pub/publications.html#sl

Software application for inkage disequilibrium grouping of single nucleotide polymorphisms (SNPs) reflecting haplotype phylogeny for efficient selection of tag SNPs. (entry from Genetic Analysis Software)

Proper citation: LDGROUP (RRID:SCR_006282) Copy   

•   Source: SciCrunch Registry

http://discover.nci.nih.gov/gominer/

GoMiner is a tool for biological interpretation of "omic" data including data from gene expression microarrays. Omic experiments often generate lists of dozens or hundreds of genes that differ in expression between samples, raising the question, What does it all mean biologically? To answer this question, GoMiner leverages the Gene Ontology (GO) to identify the biological processes, functions and components represented in these lists. Instead of analyzing microarray results with a gene-by-gene approach, GoMiner classifies the genes into biologically coherent categories and assesses these categories. The insights gained through GoMiner can generate hypotheses to guide additional research. GoMiner displays the genes within the framework of the Gene Ontology hierarchy in two ways: * In the form of a tree, similar to that in AmiGO * In the form of a "Directed Acyclic Graph" (DAG) The program also provides: * Quantitative and statistical analysis * Seamless integration with important public databases GoMiner uses the databases provided by the GO Consortium. These databases combine information from a number of different consortium participants, include information from many different organisms and data sources, and are referenced using a variety of different gene product identification approaches.

Proper citation: GoMiner (RRID:SCR_002360) Copy   

•   Source: SciCrunch Registry

http://www.fged.org/

Society that develop standards for biological research data quality, annotation and exchange. They facilitate the creation and use of software tools that build on these standards and allow researchers to annotate and share their data easily. They promote scientific discovery that is driven by genome wide and other biological research data integration and meta-analysis. Historically, FGED began with a focus on microarrays and gene expression data. However, the scope of FGED now includes data generated using any technology when applied to genome-scale studies of gene expression, binding, modification and other related applications.

Proper citation: FGED (RRID:SCR_001897) Copy   

•   Source: SciCrunch Registry

http://theory.stanford.edu/~xuying/hapar/

Software application to infer haplotype from genotype data. It uses the parsimony principle, i.e. try to find the minimum number of haplotypes that can reconstruct the input genotypes. (entry from Genetic Analysis Software)

Proper citation: HAPAR (RRID:SCR_009218) Copy   

•   Source: SciCrunch Registry

http://www.mrc-epid.cam.ac.uk/Personal/jinghua.zhao/software/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 16,2023. Software application (entry from Genetic Analysis Software)

Proper citation: HAP 2 (RRID:SCR_009217) Copy   

•   Source: SciCrunch Registry

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

Software application for transforming sets of genotype data for use with the programs SNPTEST and IMPUTE. (entry from Genetic Analysis Software)

Proper citation: GTOOL (RRID:SCR_009215) Copy   

•   Source: SciCrunch Registry

http://genepi.med.utah.edu/~alun/software/docs/index.html?GMCheck.html

Software application that finds the posterior probabilities for data errors for genotypes and phenotypes in pedigree data (entry from Genetic Analysis Software)

Proper citation: GMCHECK (RRID:SCR_009213) Copy   

•   Source: SciCrunch Registry

http://mather.well.ox.ac.uk/GLIDERS/

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 6, 2016.

Proper citation: GLIDERS (RRID:SCR_009210) Copy   

•   Source: SciCrunch Registry

http://ftp://statgen.ncsu.edu/pub/zaykin/

Software application performing a shuffling version of the exact conditional tests for different combinations of allelic and genotypic disequilibrium on haploid and diploid data, or their combination. (entry from Genetic Analysis Software)

Proper citation: MLD (RRID:SCR_009298) Copy   

•   Source: SciCrunch Registry

http://ftp://ftp.biomath.jussieu.fr/pub/mlbgh (not available)

Software application that is an extension of the GENEHUNTER program to perform sib-pair and sib-ship linkage analysis using the Maximum Likelihood Binomial (MLB) method. (entry from Genetic Analysis Software)

Proper citation: MLBGH (RRID:SCR_009297) Copy   

•   Source: SciCrunch Registry

http://mga.bionet.nsc.ru/soft/mitpene/mitpene.html (in Russian)

Software program for analysis of mitochondrial diseases (entry from Genetic Analysis Software)

Proper citation: MITPENE (RRID:SCR_009294) Copy   

•   Source: SciCrunch Registry

http://www.uni-kiel.de/medinfo/mitarbeiter/krawczak/download/index.html

Software application (entry from Genetic Analysis Software)

Proper citation: MKGST (RRID:SCR_009295) Copy   

•   Source: SciCrunch Registry

http://genome.sph.umich.edu/wiki/Minimac

Software application that is a low memory, computationally efficient implementation of the MaCH algorithm for genotype imputation. It is designed to work on phased genotypes and can handle very large reference panels with hundreds or thousands of haplotypes. The name has two parts. The first, mini, refers to the modest amount of computational resources it requires. The second, mac, is short hand for MaCH, our widely used algorithm for genotype imputation. (entry from Genetic Analysis Software)

Proper citation: MINIMAC (RRID:SCR_009292) Copy   

•   Source: SciCrunch Registry

http://www.mds.qmw.ac.uk/statgen/dcurtis/software.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 16,2023. Software application (entry from Genetic Analysis Software)

Proper citation: MFLINK (RRID:SCR_009290) Copy   

•   Source: SciCrunch Registry

http://acgt.cs.tau.ac.il/gevalt/

Software application designed to simplify and expedite the process of genotype analysis and disease association tests by providing a common interface to several common tasks relating to such analyses. It is aimed for analysis of unrelated individuals as well as two-generation families. (entry from Genetic Analysis Software)

Proper citation: GEVALT (RRID:SCR_009207) Copy   

•   Source: SciCrunch Registry