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http://www.hgsc.bcm.tmc.edu/content/red-flour-beetle-genome-project

This portal provides information about the Tribolium castabeum Genome Project. The Tribolium castaneum genome sequence and its analysis has been published in Nature, two companion journal issues (IBMB and DGE) and numerous other publications listed below. The red flour beetle, Tribolium castaneum, a common pest that is also a genetic model for the Coleoptera. The genome has been sequenced to 7-fold coverage using a whole genome shotgun approach and assembled using the HGSC's assembly engine, Atlas, with methods employed for the Drosophila pseudoobscura genome assembly. Approximately 90% of the genome sequence has been mapped to chromosomes in collaboration with Dick Beeman (USDA ARS) and Sue Brown (Kansas State University). Access to the Data :- Genome Assembly: The long term home of the Tribolium genome is Beetlebase. Tcas 3.0 is now available in GenBank and on our FTP site. Note there are no restrictions of any kind on the Tribolium data as it has been published. Version 2 of the assembly, Tcas_2.0 is available for download using the FTP Data link in the sidebar. The assembly is described in detail in the README in that directory. T.cas_1.0 was a preliminary genome assembly that did not include large insert paired end information and has been moved to a previous assemblies folder. A genboree browser of the Tcas2.0 sequence is available here: There are also links to the genboree browser from the blast results (at the bottom of each reported HSP) if you use the blast server on this page. The original linear scaffold file, Tcas2.0/linearScaffolds/Tcas20050914-genome, posted on the ftp site did not include singleton contigs from the assembly and thus did not fully reflect the tribolium genome sequence, missing ~4.4Mb of sequence in 1860 contigs and reptigs or approximately 2.5% of the assembled sequence. A corrected Tcas20051011-genome file containing these missing sequences is now available on the ftp site. The blast databases have also been updated to reflect this change. All other data is correct, and not affected by this change. :- BLAST Searches: The BLAST link is located in the sidebar. :* Linearized chromosome and unplaced scaffold sequences :* Assembled contigs :* Bin0 unassembled reads and Repeat reads Traces are available from the NCBI Trace Archive by using the link in the sidebar, or by using NCBI MegaBLAST with a same species or cross species query. Sponsors: Funding for this project has been provided by the National Human Genome Research Institute (NHGRI U54 HG003273), which is part of the National Institutes of Health (NIH), and the U.S. Department of Agriculture's Agricultural Research Service (USDA ARS Agreement No. 58-5430-3-338).

Proper citation: Tribolium castaneum Genome Project (RRID:SCR_002848) Copy   

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http://www.broadinstitute.org/scientific-community/science/programs/medical-and-population-genetics/haploview/haploview

A Java based software tool designed to simplify and expedite the process of haplotype analysis by providing a common interface to several tasks relating to such analyses. Haploview currently allows users to examine block structures, generate haplotypes in these blocks, run association tests, and save the data in a number of formats. All functionalities are highly customizable. (entry from Genetic Analysis Software) * LD & haplotype block analysis * haplotype population frequency estimation * single SNP and haplotype association tests * permutation testing for association significance * implementation of Paul de Bakker's Tagger tag SNP selection algorithm. * automatic download of phased genotype data from HapMap * visualization and plotting of PLINK whole genome association results including advanced filtering options Haploview is fully compatible with data dumps from the HapMap project and the Perlegen Genotype Browser. It can analyze thousands of SNPs (tens of thousands in command line mode) in thousands of individuals. Note: Haploview is currently on a development and support freeze. The team is currently looking at a variety of options in order to provide support for the software. Haploview is an open source project hosted by SourceForge. The source can be downloaded at the SourceForge project site.

Proper citation: Haploview (RRID:SCR_003076) Copy   

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http://celeganskoconsortium.omrf.org

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. The mission of the C. elegans Gene Knockout Consortium is to facilitate genetic research of this important model system through the production of deletion alleles at specified gene targets. We choose targets based on investigator requests. Strains produced by the consortium are freely available with no restrictions to any investigator. At one time, our capacity dictated that we restrict requests to five per lab. This restriction no longer holds. Investigators are encouraged especially to register requests for functionally related groups of genes. Consortium strains are distributed by the C. elegans Genetic Center (CGC). In most cases, when you use the Consortium web site to request an existing allele, your request is forwarded automatically to the CGC. However, if you indicate that an existing allele is not satisfactory for your research, (for whatever reason), you may request that we generate another allele for the same target. Any information generated by the Consortium is entered into the official C. elegans data repository, WormBase.

Proper citation: C. elegans Gene Knockout Consortium (RRID:SCR_003000) 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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://pacgenomics.com/

Company provides medical laboratory services, specializing in genetic and genomic testing.

Proper citation: PacGenomics (RRID:SCR_027700) Copy   

•   Source: SciCrunch Registry

http://www.jenti.org

An efficient tool for mining complex inbred genealogies that identify clusters of individuals sharing the same expected amount of relatedness is described. Additionally it allows for the reconstruction of sub-pedigrees suitable for genetic mapping in a systematic way. (entry from Genetic Analysis Software)

Proper citation: JENTI (RRID:SCR_009053) Copy   

•   Source: SciCrunch Registry

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

Software application designed for the construction of highly saturated linkage maps, based on BC1, DH, Radiation Hybrid or CP (CrossPollinators) data sets. F2 is not supported. (entry from Genetic Analysis Software)

Proper citation: COMBIN (RRID:SCR_009050) Copy   

•   Source: SciCrunch Registry

http://cmpg.unibe.ch/software/arlequin3/

An exploratory population genetics software environment able to handle large samples of molecular data (RFLPs, DNA sequences, microsatellites), while retaining the capacity of analyzing conventional genetic data (standard multi-locus data or mere allele frequency data). (entry from Genetic Analysis Software)

Proper citation: ARLEQUIN (RRID:SCR_009051) Copy   

•   Source: SciCrunch Registry

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

Conversion programs from LINKAGE files are available. The program uses peeling and can employ nested conditioning. There is an automatic peeling program that will unravel (multiple) loops. Alleles do not need to be recoded, so real allele sizes can be used. Genotype probabilities for a chosen person can be calculated for purposes of genetic risk calculation. Later versions include one for calculations using linked markers and mutations and mosaicism, made by Martin van der Meulen. A symbolic versions will generate the formula to compute the pedigree likelihood. (entry from Genetic Analysis Software)

Proper citation: GRONLOD (RRID:SCR_009049) Copy   

•   Source: SciCrunch Registry

http://www.biodata.ee/SNPassistant.htm (30 days trial version)

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 22, 2016. Software application for SNP data managing, import & export from linkage format, data validation, pairwise LD calculation and visualisation, case-control and TDT tests, visual comparison of two datasets, relationships testing. Suitable for large projects.

Proper citation: SNP ASSISTANT (RRID:SCR_009048) Copy   

•   Source: SciCrunch Registry

http://mga.bionet.nsc.ru/soft/index.html

Software application that allows drawing pedigrees with a difficult structure, those containing consanguinity loops, and those individuals with multiple mates or several related families (entry from Genetic Analysis Software)

Proper citation: PEDIGREEQUERY (RRID:SCR_009041) Copy   

•   Source: SciCrunch Registry

http://genapha.icapture.ubc.ca/PathTutorial/

Web application to investigate gene-gene interactions in genetic association studies designed to: 1. Interface your SNP data with biological information from several online bioinformatics databases. 2. Generate biologically plausible hypotheses for testing gene-gene interactions. 3. Select a subset of SNPs and conduct SNP-SNP interaction tests. 4. Store analysis results. 5. Explore analysis results through interactive plots and summary tables. (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: PATH (RRID:SCR_009042) Copy   

•   Source: SciCrunch Registry

http://watson.hgen.pitt.edu/register/soft_doc.html

Software application that is a faster version of SLINK (entry from Genetic Analysis Software)

Proper citation: FASTSLINK (RRID:SCR_008664) Copy   

•   Source: SciCrunch Registry

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

A set of Java programs for genetic epidemiology analysis (entry from Genetic Analysis Software)

Proper citation: GENEPI.JAR (RRID:SCR_008782) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.ust.hk/SNPHarvester.html

Software tool for detecting epistatic interactions in genome-wide association studies (entry from Genetic Analysis Software)

Proper citation: SNPHARVESTER (RRID:SCR_008536) Copy   

•   Source: SciCrunch Registry

http://www.simedic.com.ar/bdgen.htm

Powerful database software with improvement tools for paternity testing, database searching (like CODIS) and NRC II recommendations based formulae for investigating likelyhood ratios in putative contributors to crime evidences. Additional genetic population parameters estimations are added in this version. Only spanish version available. (entry from Genetic Analysis Software)

Proper citation: BDGEN (RRID:SCR_008811) Copy   

•   Source: SciCrunch Registry

http://www.seattle.eric.research.va.gov/VETR/biospecimen_repository.asp

The Vietnam Era Twin (VET) Registry maintains a repository of biological specimens obtained from Registry members. The VET Registry Biospecimen Repository includes DNA, plasma, and serum samples obtained from selected VET Registry members. As the VET Registry is a national resource for studies investigating genetic and non-genetic influences on health and disease in middle age men, this enhances the value of the information collected from VET Registry members to the research community. The VET Registry has developed a general system of protocols for the collection and storage of biological specimens that assures confidentiality for all participants. The biological specimens currently in use are stored at the R&D Core Laboratory at the VA Puget Sound Health Care System (VAPSHCS) in Seattle, WA. The R&D Core Laboratory performs DNA extraction procedures and separates out DNA, plasma, and serum for testing and storage. It is important to note that Core Laboratory staff has absolutely no phenotypic (non-genetic) information about VET Registry members, as the lab is completely blinded to the identity, disease characteristics, and any other research data collected from VET Registry members. The Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) Core Laboratory is located at the VA Boston Health Care System in Boston, MA, and serves as the long-term storage site for the VET Registry Biospecimen Repository. Before a VET Registry member decides whether to participate in the Biospecimen Repository, the procedures, confidentiality safeguards, and potential risks are explained in great detail. To be able to accommodate the wishes of members, a so-called layered consent process is used which allows members to choose from several options with regard to how their biological specimen will be used in current or future research studies. Such options may include: 1) not having their samples used for any testing beyond the immediate goals of the study; 2) allowing for future testing of their samples restricted to the study for which they provided the sample; or 3) allowing unrestricted future research use of their samples. Members are informed that any future use of their samples would have to be approved by the VET Registry, in addition to an independent ethics committee that protects the rights and welfare of research subjects, this board is more commonly known as an Institutional Review Board or IRB. Confidentiality safeguards include assigning code numbers, as opposed to name or other personal information, on all biological specimens. Zygosity Testing The accuracy of DNA testing makes it the best method for determining zygosity, identical (monozygotic) versus fraternal (non-identical or dizygotic), in VET Registry twin members. The use of DNA for zygosity testing is only performed when both members of a twin pair agree to the testing. Other Genetic Testing for specific genes will not necessarily involve providing the participants with test results.

Proper citation: Vietnam Era Twin Registry Biospecimen Repository (RRID:SCR_008808) Copy   

•   Source: SciCrunch Registry

https://www.unil.ch/dee/en/home/menuinst/softwares--dataset/softwares/easypop.html

Software application allowing to simulate population genetics datasets. It allows generating genetic data for haploid, diploid, and haplodiploid organisms under a variety of mating systems. It includes various migration and mutation models. Output can be generated for the FSTAT, GENEPOP, and ARLEQUIN genetic analysis packages. (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: EASYPOP (RRID:SCR_008961) Copy   

•   Source: SciCrunch Registry

http://www.inra.fr/mia/T/CarthaGene/

A genetic/radiation hybrid mapping software that looks for multiple populations maximum likelihood consensus maps using a fast EM algorithm for maximum likelihood estimation and powerful ordering algorithms inspired from TSP (Traveling Salesman Problem) technology. It can handle large data sets made up of different populations (either F2 backcross, recombinant inbred lines, F2 intercross, phase known outbreds, haploid/diploid radiation hybrids). It can also exploit existing syntenic relationships between the organism mapped and a reference (sequenced) organism for accurate dense RH mapping. (entry from Genetic Analysis Software)

Proper citation: CARTHAGENE (RRID:SCR_009013) Copy   

•   Source: SciCrunch Registry