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http://www.rosettabio.com/products/syllego/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 2, 2014. A genetic data management and analysis system designed to advance your whole genome association, linkage, and eQTL studies, providing you with an easy-to-use project workspace so that you can organize, analyze, and share your genotype and phenotype data along with your analysis results. With the Syllego system, generating high quality analysis data and meaningful results becomes simple. The Syllego system automates all tedious data management and data formatting tasks so that you can streamline your genetic analysis workflows using your analysis methods of choice. Managing all your genetic data and reference information is straightforward. The Syllego system converts public and private genotype data sets and reference annotations, such as dbSNP and HapMap, as well as individual (sample) information into a single, consistent repository for fast, convenient access. (entry from Genetic Analysis Software)

Proper citation: ROSATTA SYLLEGO SYSTEM (RRID:SCR_009363) Copy   

•   Source: SciCrunch Registry

http://research.nhgri.nih.gov/ROMPrev/

Software tool for testing for association between polymorphisms and quantitative traits, as well as estimating trait heritability and locus-specific heritability using family data. (entry from Genetic Analysis Software)

Proper citation: ROMPREV (RRID:SCR_009361) Copy   

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http://www.pass-software.com/Producten/PASSPedigree.aspx (in Dutch)

Software application to draw the most complex family trees in a matter of minutes instead of hours of work. The basis of this is an algorithm for automatically builing a family tree. Of course, manual adjustments in the family tree can be made for your specific requirements. PASS Pedigree meets all international conventions concerning the drawing of pedigrees. A converter can convert historical Cyrillic pedigrees automatically to PASS Pedigree. Unlike before, all your family trees are stored in one single database. PASS Pedigree can intelligently connect to many genetic centers (e.g. three genetic centers in the Netherlands) with the existing patient information, via the lab system HELIX based on HL7 techniques. (entry from Genetic Analysis Software)

Proper citation: PASS PEDIGREE (RRID:SCR_009315) Copy   

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http://ibi.imim.es/osirisform.html

Software tool for the retrieval of articles from MEDLINE related to the sequence variants reported for a human gene. The variations considered are single nucleotide polymorphisms (SNPs), insertion/deletion polymorphisms (indel), microsatellite, and named variations (e.g. Alu sequences). (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: OSIRIS (RRID:SCR_009313) Copy   

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http://csg.sph.umich.edu/boehnke/p_act.php

An R program that adjusts sets of up to 1000 p-values from association tests between correlated traits and SNPs for multiple testing, accounting for the correlation between tests. (entry from Genetic Analysis Software)

Proper citation: P ACT (RRID:SCR_009314) Copy   

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http://gaow.github.io/genetic-analysis-software/n-1.html#nocom

Software application to estimate parameters for mixture of normal distributions (entry from Genetic Analysis Software)

Proper citation: NOCOM (RRID:SCR_009310) Copy   

•   Source: SciCrunch Registry

https://www.wur.nl/en/show/SMOOTH.htm

Software tool that recognises and removes the most unrealistic data pointsfor the construction of accurate linkage maps, which is not so much depending on the quality of the mapping software, but mostly on the marker data quality. Missing values and scoring errors can severely influence the calculated marker order. This software was used to construct the 10,000 marker potato map. The removal of improbable data point is a good medicine for linkage maps, that is not easily overdosed. One error is more harmfull than ten missing values. The software was never intended as user-friendly software. In these days it would be more useful to re-do the programming of the pascal source code into a perl script. Anyone who takes the initiative to generate such a script is welcomed to contact the authors. SMOOTH works best in close cooperation with mapping algorithm RECORD (entry from Genetic Analysis Software)

Proper citation: SMOOTH (RRID:SCR_009398) Copy   

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http://www.jurgott.org/linkage/simulate.html

Software program to simulate genotypes in family members for a map of linked markers unlinked to a given affection status locus. the output is ready for analysis with UNKNOWN, ISIM, LSIM, or MSIM of the SLINK package. (entry from Genetic Analysis Software)

Proper citation: SIMULATE (RRID:SCR_009391) Copy   

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http://simupop.sourceforge.net

A forward-based population genetics simulation program capable of simulating very complex evolution processes on large (think of millions) populations. Major features include variable population size; many built-in and hybrid (write in python) mutation, migration, selection models. simuPOP can be extended in Python so there is no limit on what you can do with it. (entry from Genetic Analysis Software)

Proper citation: SIMUPOP (RRID:SCR_009392) Copy   

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http://www.biology.duke.edu/noorlab/multsim.html

Software application to analyze the numbers of individuals that founded new populations following a bottleneck or founding event (entry from Genetic Analysis Software)

Proper citation: MULTISIM (RRID:SCR_009308) Copy   

•   Source: SciCrunch Registry

http://darwin.cwru.edu/sage/

Software application that provides researchers with the tools necessary for various types of statistical genetic analysis of human family data. (entry from Genetic Analysis Software)

Proper citation: SAGE (RRID:SCR_009302) Copy   

•   Source: SciCrunch Registry

http://www-genome.wi.mit.edu/ftp/distribution/software/pedmanager/

Software application (entry from Genetic Analysis Software)

Proper citation: PEDMANAGER (RRID:SCR_009300) Copy   

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http://www.stat.ohio-state.edu/~statgen/SOFTWARE/SIMPLE/

Software application that calculates linkage statistics, such as lod scores and NPL statistics by Sequential Imputation. (entry from Genetic Analysis Software)

Proper citation: SIMPLE (RRID:SCR_009389) Copy   

•   Source: SciCrunch Registry

http://csg.sph.umich.edu/boehnke/simlink.php

Software program to estimate the probability (power) of detecting linkage given family history information on a set of identified pedigrees. (entry from Genetic Analysis Software)

Proper citation: SIMLINK (RRID:SCR_009387) Copy   

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http://dmpi.duke.edu/simla-simulation-software-version-32

SIMulation program that generates data sets of families for use in Linkage and Association studies. It allows the user flexibility in specifying marker and disease placement, locus heterogeneity, disequilibrium between markers and between markers and disease loci. Output is in the form of a LINKAGE pedigree file and is easily utilized, either directly or with minimal reformatting, as input for various genetic analysis packages (entry from Genetic Analysis Software)

Proper citation: SIMLA (RRID:SCR_009385) Copy   

•   Source: SciCrunch Registry

http://imbs-luebeck.de/imbs/de/node/34

Software application to calculate nominal significance levels and critical LOD scores depending on the length of the investigated region, number of chromosomes, and the cross-over rate. The global significance level as well as the precision of the calculation have to be specified. (entry from Genetic Analysis Software)

Proper citation: SILCLOD (RRID:SCR_009383) Copy   

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http://gaow.github.io/genetic-analysis-software/s-1.html#siberror

Software application that identifies pedigree errors in sibship data. Examples include half siblings, unrelated individuals, identical twins, and parental exclusions. The test statistic is based on the summation of the number of alleles shared by a pair of relatives for a large number of markers and the number of alleles and allele frequencies for those markers. (entry from Genetic Analysis Software)

Proper citation: SIBERROR (RRID:SCR_009380) Copy   

•   Source: SciCrunch Registry

http://mvz.berkeley.edu/Collections.html

A collection of over 640,000 specimens of amphibians, reptiles, birds, bird eggs or nests, and mammals, as well as over 50,000 tissue samples from these vertebrate groups. These research collections are ranked as one of the largest in the United States, and the largest of any university museum. In addition, the Museum has numerous special collections that include archived field notes and photographs, historical annotated maps and correspondence, avian sound recordings, chromosome and histology preparations, Milton Hildebrand anatomical and film collections, artwork related to terrestrial vertebrate natural history, and a library of books, reprints, and journals for curation and research activities. Specimen data are accessible online, and the Museum is working to improve data access to the other collections. Museum Collections * Mammal Collection * Herpetological Collection * Bird Collection * Egg & Nest Collection * Tissue Collection * Fieldnotes, Photos, & Map Collection * Other Collections The Museum of Vertebrate Zoology (MVZ) welcomes donations of amphibians, reptiles, birds, bird eggs and nests, mammals and related materials. Acceptance of a donation is at the discretion of MVZ Curators. * Specimens -- May include preserved specimens and/or parts (e.g., tissue samples) as well as unpreserved material (e.g., frozen carcasses, live animals) that will be prepared by Museum Curators, curatorial staff, or students. * Related Materials -- Donations of images (digital or printed photographs or slides), sound recordings, field notes, and other natural history archival material. Materials must be connected to specimens or research projects. Donated material and associated data will be made available for research, education, or public exhibit according to the mission and policies of the Museum and Regents, except by prior signed agreement between the donor and the Museum.

Proper citation: MVZ Collections (RRID:SCR_010608) Copy   

•   Source: SciCrunch Registry

http://mayoresearch.mayo.edu/mayo/research/biobank/index.cfm

A collection of blood samples and health information donated by volunteers, not focusing on any specific disease. Unlike many biobanks already in existence at Mayo Clinic and elsewhere, the Mayo Clinic Biobank is NOT focused on any particular disease. Rather, this biobank will collect samples and health information on patients and volunteers regardless of their health history. The only requirement is that they be 18 years of age or older, have a Mayo Clinic number, and be able to give informed consent. Once a participant becomes a part of the Biobank, they will be a part of ongoing health research conducted at Mayo Clinic indefinitely. The Biobank was established at Mayo Clinic, Rochester, and recruitment began in April of 2009. The goal of this project is to enroll 20,000 Mayo Clinic patients over the course of a three-year period in an effort to support a wide array of health-related research studies throughout the Institution.

Proper citation: Mayo Clinic Biobank (RRID:SCR_010723) Copy   

•   Source: SciCrunch Registry

http://www.pstnet.com/eprime.cfm

A suite of applications to fulfill all of your computerized experiment needs. Used by more than 15,000 professionals in the research community, E-Prime provides a truly easy-to-use environment for computerized experiment design, data collection, and analysis. E-Prime provides millisecond precision timing to ensure the accuracy of your data. E-Prime's flexibility to create simple to complex experiments is ideal for both novice and advanced users. The E-Prime suite of applications includes: * E-Studio ? Drag and drop graphical interface for experiment design * E-Basic ? Underlying scripting language of E-Prime * E-Run ? Once the experiment is generated with a single click, E-Run affords you the millisecond precision of stimulus presentation, synchronizations, and data collection. * E-Merge ? Merges your single session data files for group analysis * E-DataAid ? Data management utility * E-Recovery ? Recovers data files

Proper citation: E-Prime (RRID:SCR_009567) Copy   

•   Source: SciCrunch Registry