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http://www.stat.washington.edu/thompson/Genepi/MORGAN/Morgan.shtml

Software programs for segregation and linkage analysis, using a variety of Markov chain Monte Carlo (MCMC) methods. Includes MCMC methods for multilocus gene identity by descent (including homozygosity mapping) and Monte Carlo Lod scores. Also, other programs for EM analysis of quantitative traits.

Proper citation: MORGAN (RRID:SCR_006906) Copy   

•   Source: SciCrunch Registry

http://bioinf.wehi.edu.au/folders/melanie/haploclusters.html

Software program designed to detect excess haplotypes sharing in datasets consisting of case and control haplotypes. Excess haplotype sharing can be seen around disease loci in case samples since LD persists longer here than in the controls where LD is persisting only according to the relatedness of the individuals in the population, i.e. the age of the population. (entry from Genetic Analysis Software)

Proper citation: HAPLOCLUSTERS (RRID:SCR_007439) Copy   

•   Source: SciCrunch Registry

http://cedar.genetics.soton.ac.uk/pub/PROGRAMS/BETA

Software application for non-parametric linkage analysis using allele sharing in sib pairs (entry from Genetic Analysis Software)

Proper citation: BETA (RRID:SCR_007556) Copy   

•   Source: SciCrunch Registry

http://www.wesbarris.com/mapcreator/

Software application to create gene maps using either radiation hybrid data or linkage data (entry from Genetic Analysis Software)

Proper citation: MAPCREATOR (RRID:SCR_008001) Copy   

•   Source: SciCrunch Registry

http://www.sph.umich.edu/csg/abecasis/GOLD/

Software package that provides a graphical summary of linkage disequilibrium in human genetic data. The graphical summary is well suited to the analysis of dense genetic maps, where contingency tables are cumbersome to interpret. An interface to the Simwalk2 application allows for the analysis of family data.

Proper citation: Graphical Overview of Linkage Disequilibrium (RRID:SCR_007151) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE. Documetned on May 12,2023. Software application (entry from Genetic Analysis Software)

Proper citation: FASTMAP (2) (RRID:SCR_008635) Copy   

•   Source: SciCrunch Registry

http://bios.ugr.es/BMapBuilder/

Software application (entry from Genetic Analysis Software)

Proper citation: BMAPBUILDER (RRID:SCR_007264) Copy   

•   Source: SciCrunch Registry

http://chgr.mc.vanderbilt.edu/genomeSIMLA/

Software application that is a forward-time population simulation method that can simulate realistic patterns of LD in both family-based and case-control datasets. (entry from Genetic Analysis Software)

Proper citation: GENOMESIMLA (RRID:SCR_008990) Copy   

•   Source: SciCrunch Registry

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

Software application that is a stepwise approach to identifying recombination breakpoints in a sequence alignment (entry from Genetic Analysis Software)

Proper citation: R/STEPWISE (RRID:SCR_007420) Copy   

•   Source: SciCrunch Registry

http://www.genogram.org/

Software application that is a graphic way of organizing the mass of information gathered during a family assessment and finding patterns in the family system (entry from Genetic Analysis Software)

Proper citation: GENOGRAM-MAKER (RRID:SCR_008751) Copy   

•   Source: SciCrunch Registry

http://www.gaworkshop.org/

The Genetic Analysis Workshops (GAWs) are a collaborative effort among genetic epidemiologists to evaluate and compare statistical genetic methods. For each GAW, topics are chosen that are relevant to current analytical problems in genetic epidemiology, and sets of real or computer-simulated data are distributed to investigators worldwide. Results of analyses are discussed and compared at meetings held in even-numbered years. The GAWs began in 1982 were initially motivated by the development and publication of several new algorithms for statistical genetic analysis, as well as by reports in the literature in which different investigators, using different methods of analysis, had reached contradictory conclusions. The impetus was initially to determine the numerical accuracy of the algorithms, to examine the robustness of the methodologies to violations of assumptions, and finally, to compare the range of conclusions that could be drawn from a single set of data. The Workshops have evolved to include consideration of problems related to analyses of specific complex traits, but the focus has always been on analytical methods. The Workshops provide an opportunity for participants to interact in addressing methodological issues, to test novel methods on the same well-characterized data sets, to compare results and interpretations, and to discuss current problems in genetic analysis. The Workshop discussions are a forum for investigators who are evolving new methods of analysis as well as for those who wish to gain further experience with existing methods. The success of the Workshops is due at least in part to the focus on specific problems and data sets, the informality of sessions, and the requirement that everyone who attends must have made a contribution. Topics are chosen and a small group of organizers is selected by the GAW Advisory Committee. Data sets are assembled, and six or seven months before each GAW, a memo is sent to individuals on the GAW mailing list announcing the availability of the GAW data. Included with the memo is a short description of the data sets and a form for requesting data. The form contains a statement to be signed by any investigator requesting the data, acknowledging that the data are confidential and agreeing not to use them for any purpose other than the Genetic Analysis Workshop without written permission from the data provider(s). Data are distributed by the ftp or CD-ROM or, most recently, on the web, together with a more complete written description of the data sets. Investigators who wish to participate in GAW submit written contributions approximately 6-8 weeks before the Workshop. The GAW Advisory Committee reviews contributions for relevance to the GAW topics. Contributions are assembled and distributed to all participants approximately two weeks before the Workshop. Participation in the GAWs is limited to investigators who (1) submit results of their analyses for presentation at the Workshop, or (2) are data providers, invited speakers or discussants, or Workshop organizers. GAWs are held just before the meetings of the American Society of Human Genetics or the International Genetic Epidemiology Society, at a meeting site nearby. We choose a location that will encourage interaction among participants and permit an intense period of concentrated work. The proceedings of each GAW are published. Proceedings from GAW16 were published in part by Genetic Epidemiology 33(Suppl 1), S1-S110 (2009) and in part by Biomed Central (BMC Proceedings, Volume 3, Supplement 7, 2009). Sponsors: GAW is funded by the Southwest Foundation for Biomedical Research.

Proper citation: Genetic Analysis Workshop (RRID:SCR_008350) Copy   

•   Source: SciCrunch Registry

http://cooke.gsf.de/wjst/download.cfm

Software application that allows pedigree entry and retrieval from an internet browser into a distant MS ACCESS database. Includes IP access restriction, automatic numbering of families and individuals and database consistency checks. (entry from Genetic Analysis Software)

Proper citation: PEDJAVA (RRID:SCR_008429) Copy   

•   Source: SciCrunch Registry

http://www.nhgri.nih.gov/DIR/IDRB/GASP/

Software tool for testing and investigating methods in statistical genetics by generating samples of family data based on user specified models. (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GASP (RRID:SCR_008703) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5th,2023. Software application for TDT test on markers with more than two alleles using a logistic regression analysis. (entry from Genetic Analysis Software).

Proper citation: ETDT (RRID:SCR_007576) Copy   

•   Source: SciCrunch Registry

http://www-gene.cimr.cam.ac.uk/clayton/software/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 12,2023. Software application that tests for association between genetic marker and disease by examining the transmission of markers from parents to affected offspring. The main features which differ from other similar programs are: (1) It can deal with transmission of multi-locus haplotypes, even if phase is unknown, and (2) Parental genotypes may be unknown. (entry from Genetic Analysis Software)

Proper citation: TRANSMIT (RRID:SCR_007571) Copy   

•   Source: SciCrunch Registry

http://compgen.rutgers.edu/multimap.shtml

Software program for automated construction of genetic maps (entry from Genetic Analysis Software)

Proper citation: MULTIMAP (RRID:SCR_007168) Copy   

•   Source: SciCrunch Registry

http://aspex.sourceforge.net/

A set of programs for performing multipoint exclusion mapping of affected sibling pair data for discrete traits. (entry from Genetic Analysis Software)

Proper citation: ASPEX (RRID:SCR_008414) Copy   

•   Source: SciCrunch Registry

http://mlemire.freeshell.org/software.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 12,2023. Software application with implementation of the Sad statistic, more robust to transmission ratio distortion in the context of allele sharing (entry from Genetic Analysis Software)

Proper citation: GENEHUNTER++SAD (RRID:SCR_008777) Copy   

•   Source: SciCrunch Registry

https://github.com/gaow/genetic-analysis-software/blob/master/pages/MAPMAKER%26SIBS.md

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 22, 2016. Data analysis software for complete multipoint analysis.

Proper citation: MAPMAKER/SIBS (RRID:SCR_008012) Copy   

•   Source: SciCrunch Registry

http://neurogenetics.nia.nih.gov

A suite of web-based open source software programs for clinical and genetic study. The aims of this software development in the Laboratory of Neurogenetics, NIA, NIH are * Build retrievable clinical data repository * Set up genetic data bank * Eliminate redundant data entries * Alleviate experimental error due to sample mix-up and genotyping error. * Facilitate clinical and genetic data integration. * Automate data analysis pipelines * Facilitate data mining for genetic as well as environmental factors associated with a disease * Provide an uniformed data acquisition framework, regardless the type of a given disease * Accommodate the heterogeneity of different studies * Manage data flow, storage and access * Ensure patient privacy and data confidentiality/security. The GERON suite consists of several self contained and yet extensible modules. Currently implemented modules are GERON Clinical, Genotyping, and Tracking. More modules are planned to be added into the suite, in order to keep up with the dynamics of the research field. Each module can be used separately or together with others into a seamless pipeline. With each module special attention has been given in order to remain free and open to the academic/government user., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GERON (RRID:SCR_008531) Copy   

•   Source: SciCrunch Registry