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https://bitbucket.org/nicofmay/basta-bayesian-structured-coalescent-approximation/src/master/

Software package as Bayesian method to infer migration from genetic data. Implemented in BEAST2 that combines accuracy of methods based on structured coalescent with computational efficiency required to handle more than few populations.

Proper citation: BASTA (RRID:SCR_017303) Copy   

•   Source: SciCrunch Registry

http://www.depressiontools.org/

Online instrument that estimates whether a biomarker predicting outcome of depression treatment is likely to be clinically significant.

Proper citation: DepressionTools.org Clinical Significance Calculator (RRID:SCR_003873) Copy   

•   Source: SciCrunch Registry

http://cbl-gorilla.cs.technion.ac.il/

A tool for identifying and visualizing enriched GO terms in ranked lists of genes. It can be run in one of two modes: * Searching for enriched GO terms that appear densely at the top of a ranked list of genes or * Searching for enriched GO terms in a target list of genes compared to a background list of genes.

Proper citation: GOrilla: Gene Ontology Enrichment Analysis and Visualization Tool (RRID:SCR_006848) Copy   

•   Source: SciCrunch Registry

https://www.facebase.org/node/252

THIS RESOURCE IS NO LONGER IN SERVICE,documented on January,18, 2022. FaceBase Biorepository is now collecting biological samples from people with cleft lip/palate and their family members. Information for Prospective Cases: Clefts of the lip and/or palate can be caused by a wide range of genetic, environmental and other factors. The FaceBase Biorepository will serve as a common source of both biological samples and information that can be made available to investigators trying to determine the underlying cause of these common birth defects. Genetic studies, in particular, will benefit from both family history information and having samples from affected individuals as well as their family members. DNA is the information containing molecules found in all the cells of our body and can be easily obtained from material such as blood or saliva samples. As part of the FaceBase Biorepository, we are requesting families to submit biological samples from specific family members as well as information from other family members that might be affected with either the same condition or a similar condition. The medical and family history information that is collected includes other relevant information such as exposure to possible environmental causes during pregnancy. The biorepository is managed by Nichole Nidey, a research study coordinator, and Jeff Murray, a pediatric clinical geneticist and researcher. They are available to speak with family members regarding questions they may have, including providing information about the biorepository and making arrangements for the collection of samples for those who wish to participate. All participation is voluntary. Your name or other personally identifiable information (name, address, etc) will be removed before information is placed in the biorepository. Summary data to show how the database itself has been used overall as well as updates on whether specific findings might have been made using this database will be available on the FaceBase website at www.facebase.org. A newsletter containing this information will also be given to families and referring clinicians so that they may discuss the specifics with the families if there appears to be information that might be relevant in a particular case. Families will also need to sign a consent form that has been approved by the Institutional Review Board at the University of Iowa. Also, any submitted samples or data can also be removed from the database at any time should the family no longer wish to participate. Investigators interested in requesting DNA samples or for more information, please contact cleftresearch (at) uiowa.edu, Nichole Nidey, nichole-nidey (at) uiowa.edu or (319) 353-4365, or Jeff Murray, jeff-murray (at) uiowa.edu.

Proper citation: FaceBase Biorepository (RRID:SCR_006001) 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://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

https://orwh.od.nih.gov/

The mission of the Office of Research on Women's Health (ORWH) is to stimulate and encourage meritorious research on women's health, including the role of sex and gender in health and disease. The priorities signify approaches and areas for which there is a need to stimulate and encourage research on women's health, or sex/gender factors, and the advancement of women in biomedical research careers. These research priorities are not an exclusive list of research areas important to women's health; therefore other innovative or significant research areas should also be considered. The following four overarching themes are important for addressing research on women's health: Lifespan, Sex/Gender Determinants, Health Disparities/Differences and Diversity, ad Interdisciplinary Research. Special Areas of Emphasis - Prevention/Treatment: from basic biological factors, including identifying and validating biomarkers, to risk and its applications to disease prevention, early detection, and treatment. - Sex and Genetics/Pharmacogenomics: genetic, molecular, and cellular basis for action of pharmacologic agents known to have different effects in females than in males. Research on effects of sex as a modifier of gene function and response is under-investigated. Sponsors: This research is funded by the NAtional Institutes of Health.

Proper citation: Office of Research on Womens Health: Reseach (RRID:SCR_001822) 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

https://github.com/gaow/genetic-analysis-software/blob/master/pages/GGT.md

Software application that combines genetic map data and locus data to display Graphical Genotypes. Data can be viewed by individual or by linkage group, and sorted on markers. Statistics are calculated and simultaneous filtering/selection on multiple linkage groups is possible. Output of hi-res genotype drawings directly to printer or to emf/jpeg/bitmap image. A module for constructing GGT-datafiles from common mapmaker/joinmap style formatted data is available. (entry from Genetic Analysis Software)

Proper citation: GGT (RRID:SCR_009208) Copy   

•   Source: SciCrunch Registry