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http://www.montpellier.inra.fr/URLB/bottleneck/bottleneck.html

Software application for detecting recent effective population size reductions from allele data frequencies (entry from Genetic Analysis Software)

Proper citation: BOTTLENECK (RRID:SCR_009082) Copy   

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http://www.bios.unc.edu/~lin/software/SQTDT/

Software application for semiparametric family-based association (entry from Genetic Analysis Software)

Proper citation: SQTDT/SPDT (RRID:SCR_009080) Copy   

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http://www.biomath.medsch.ucla.edu/faculty/klange/software.html

THIS RESOURCE IS NO LOGER IN SERVICE. Documented on May 16,2023. A simple dBASE III program for the management of pedigree and locus data. It permits easy extraction of genetic data for use with MENDEL and FISHER. (entry from Genetic Analysis Software)

Proper citation: DGENE (RRID:SCR_009158) Copy   

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http://www.infobiogen.fr/services/CoPE

Software application that includes a Java program for drawing pedigrees and a standardized system for pedigree storage. Unlike other existing pedigree programs, this software is particularly intended for epidemiologists in the sense that it allows customized automatic drawing of large numbers of pedigrees and remote and distributed consultation of pedigrees. (entry from Genetic Analysis Software)

Proper citation: COPE (RRID:SCR_009153) Copy   

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

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 22, 2016. Software application that is an implementation of a genome-based scan statistic that detects genomic regions.

Proper citation: CHROMOSCAN (RRID:SCR_009151) Copy   

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http://innovation.ox.ac.uk/licence-details/chiamo/

Software application for calling genotypes from the Affymetrix 500K Mapping chip. The program allows for multiple cohorts which have potentially different intensity characteristics that can lead to elevated false-positive rates in genome-wide studies. The underlying model has a hierarchical structure that allows for correlation between the parameters of each cohort. The output files produced by CHIAMO feed directly into both the programs SNPTEST and IMPUTE. CHIAMO was used to call genotypes for the 7 genome-wide association studies carried out by the Wellcome Trust Case-Control Consortium (WTCCC).

Proper citation: CHIAMO (RRID:SCR_009150) Copy   

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http://www.atgc.org/XLinkage/

Software application that serves as a visualization tool to validate constructed genetic maps. CheckMatrix generates graphical genotypes and two-dimensional heat plots of pairwise scores. Visualization of regions with positive and negative linkage as well as of allele fraction per marker simplifies genetic map validation without applying statistical approaches. CheckMatrix works in conjunction with MadMapper and freely available at http://www.atgc.org/XLinkage/MadMapper/ (entry from Genetic Analysis Software)

Proper citation: CHECKMATRIX (RRID:SCR_009149) Copy   

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http://agrews.agr.niigata-u.ac.jp/~iwsk/cfc.html

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 22, 2016. General-purpose program for monitoring genetic diversity. CFC allows for several pedigree analyses such as: (1) computing inbreeding coefficients and relationships; (2) computing average relationships very quickly within and between specified groups of individuals; (3) computing average relatedness; (4) ancestral decomposition of the average or the individual inbreeding coefficient; (5) ancestral decomposition of the average coancestry; (6) optimizing matings to minimize the average inbreeding coefficients in the next generation; (7) computing founder equivalent, founder genome equivalent and effective number of non-founders; (8) computing numerator relationship matrix, its Cholesky decomposition and its inverse; (9) providing useful information on the structure of pedigrees.

Proper citation: CFC (RRID:SCR_009146) Copy   

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http://cedar.genetics.soton.ac.uk/pub/PROGRAMS/ceph2map

Software application developed from crimap v2.4 for use with the map suite of programs. (entry from Genetic Analysis Software)

Proper citation: CEPH2MAP (RRID:SCR_009144) Copy   

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http://www.sanger.ac.uk/resources/software/evoker/

A graphical tool for visualizing genotype intensity data in order to assess genotype calls as part of quality control procedures for genome-wide association studies. It provides a solution to the computational and storage problems related to being able to work with the huge volumes of data generated by such projects by implementing a compact, binary format that allows rapid access to data, even with hundreds of thousands of observations. (entry from Genetic Analysis Software)

Proper citation: EVOKER (RRID:SCR_009145) Copy   

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http://www.stat.auckland.ac.nz/~browning/ccrel/ccrel.htm

Software program for case-control genetic analysis that takes relatedness between individuals into account. It will perform single-marker and haplotypic tests, however it will only work with SNP or other biallelic markers. (entry from Genetic Analysis Software)

Proper citation: CCREL (RRID:SCR_009142) Copy   

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http://msub.csbio.unc.edu/

A custom genome browser which provides detailed answers to questions on the haplotype diversity and phylogenetic origin of the genetic variation underlying any genomic region of most laboratory strains of mice (both classical and wild-derived). Users can select a region of the genome and a set of laboratory strains and/or wild caught mice. The region is selected by specifying the start (e.g. 31200000 or 31200K or 31.2M), and end of the interval and the chromosome (i.e, autosome number and X chromosome). Samples can be selected by name or by entire set. Data sets include information on subspecific origin, heterozygosity regions, and haplotype coloring, among others.

Proper citation: Mouse Phylogeny Viewer (RRID:SCR_014071) Copy   

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http://www.cmbi.ru.nl/GeneSeeker/

The GeneSeeker allows you to search across different databases simultaneously, given a known human genetic location and expression/phenotypic pattern. The GeneSeeker returns any found gene names which are located on the specified location and expressed in the specified tissue. To search for more expression location in one search, just enter them in the textbox for the expression location and separate them with logical operators (and, or, not). You can specify as many tissues as you want, the program starts 20 queries simultaneously, and then waits for a query to finish before starting another query, to keep server loads to a minimum. You can also search only for expression, just leave the cytogenetic location fields blank, and do the query. If you only want to look for one cytogenetic location, only fill in the first location field, and the GeneSeeker will search with only this one. Housekeeping genes , found in Swissprot can be excluded, or genes that are to be excluded can be specified. Human chromosome localizations are translated with an oxford-grid to mouse chromosome localizations, and then submitted to the Mgd. Sponsors: GeneSeeker is a service provided by the Centre for Molecular and Biomolecular Informatics (CMBI).

Proper citation: GeneSeeker (RRID:SCR_008347) Copy   

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http://mips.gsf.de/services/genomes/uwe25/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. This is the official database of the environmental chlamydia genome project. This resource provides access to finished sequence for Parachlamydia-related symbiont UWE25 and to a wide range of manual annotations, automatical analyses and derived datasets. Functional classification and description has been manually annotated according to the Annotation guidelines. Chlamydiae are the major cause of preventable blindness and sexually transmitted disease. Genome analysis of a chlamydia-related symbiont of free-living amoebae revealed that it is twice as large as any of the pathogenic chlamydiae and had few signs of recent lateral gene acquisition. We showed that about 700 million years ago the last common ancestor of pathogenic and symbiotic chlamydiae was already adapted to intracellular survival in early eukaryotes and contained many virulence factors found in modern pathogenic chlamydiae, including a type III secretion system. Ancient chlamydiae appear to be the originators of mechanisms for the exploitation of eukaryotic cells. Environmental chlamydiae have recently been recognized as obligate endosymbionts of free-living amoebae and have been implicated as potential human pathogens. Environmental chlamydiae form a deep branching evolutionary lineage within the medically important order Chlamydiales. Despite their high diversity and ubiquitous distribution in clinical and environmental samples only limited information about genetics and ecology of these microorganisms is available. The Parachlamydia-related Acanthamoeba symbiont UWE25 was therefore selected as representative environmental chlamydia strain for whole genome sequencing. Comparative genome analysis was performed using PEDANT and simap. Sponsors: The environmental chlamydia genome project was funded by the bmb+f (German Federal Ministry of Education and Research) and is part of the Competence Network PathoGenoMiK.

Proper citation: Protochlamydia amoebophila UWE25 (RRID:SCR_008222) Copy   

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http://wpicr.wpic.pitt.edu/WPICCompGen/genomic_control/genomic_control.htm

Software application where GC implements the genomic control models. GCF implements the basic Genomic Control approach, but adjusts the p-values for uncertainty in the estimated effect of substructure. This approach is preferable if a large number of tests will be evaluated because it provides a more accurrate assessment of the significance level for small p-values. (entry from Genetic Analysis Software)

Proper citation: GC/GCF (RRID:SCR_009075) Copy   

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http://wpicr.wpic.pitt.edu/WPICCompGen/newcovibd/covibd.htm

Software application that refines linkage analysis of affected sibpairs by considering attributes or environmental exposures thought to affect disease liability. This refinement utilizes a mixture model in which a disease mutation segregates in only a fraction of the sibships, with the rest of the sibships unlinked. Covariate information is used to predict membership within the two groups corresponding to the linked and unlinked sibships. The pre-clustering model uses covariate information to first form two probabilistic clusters and then tests for excess IBD-sharing in the clusters. The Cov-IBD model determines probabilistic group membership by joint consideration of covariate and IBD values. (entry from Genetic Analysis Software)

Proper citation: COVIBD (RRID:SCR_009155) Copy   

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http://escience.invitrogen.com/ipath/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. LINNEA Pathways is a user-friendly comprehensive online resource for gene- or protein-based scientific research. It is based on a total of 248 signaling and metabolic human biological pathway maps created for Invitrogen by GeneGo. The current version of iPath features 225 maps displaying human regulatory and metabolic pathways established in experimental literature produced by MetaCore from GeneGo, Inc. The map objects (proteins, genes, EC functions, and compounds) are connected via metabolic transformations and physical protein interactions, which were assembled by the GeneGo team of experienced annotators, geneticists, and biochemists. The pathways are organized in a vertical fashion following the general signaling path from signaling molecules and membrane receptors, via signal transduction cascades, to transcription factors and their gene targets. Following the natural organization of cellular machinery with highly interconnected pathways and modules, many maps are linked together via hyperlinked box symbols. Such linkage allows the reconstruction of a big picture view of human cell biology., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Invitrogen iPath (RRID:SCR_008120) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/ipd/mhc/bola/

This website is intended to be the definitive source of information on the bovine major histocompatibility complex - its genes, proteins and polymorphism. Its purpose is to collate data on the Bovine Leucocyte Antigens (BoLA) and provide a forum for the analysis and nomenclature of polymorphisms in the genes and proteins of the bovine MHC. The BoLA nomenclature committee is a standing committee of the International Society for Animal Genetics. Its purpose is to collate data on the Bovine Leucocyte Antigens (BoLA) and provide a forum for the analysis and nomenclature of polymorphisms in the genes and proteins of the bovine MHC. The information gathered here is based on the BoLA workshop reports, which are published in Animal Genetics and the European Journal of Immunogenetics. The workshop report data are reproduced with the permission of the publishers Blackwell Science, and other text on the site is used with the permission of CRC Press.

Proper citation: BoLA Nomenclature: International Society for Animal Genetics (RRID:SCR_008142) Copy   

•   Source: SciCrunch Registry

http://skonops.imbb.forth.gr/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on November 22, 2023. A database containing genomic/biological information on anopheline mosquitoes, with an emphasis on Anopheles gambiae, the world''''s most important malaria vector. AnoBase is an integrated, relational database of basic biological and genetic data on anopheline species, with a particular emphasis on Anopheles gambiae. It has been designed as an information source and research support tool for the broad vector biology community. Although AnoBase is not a primary genomic database that develops and provides tools to access the genome of the malaria mosquito, it nevertheless contains several sections that offer data of genomic interest such as in situ hybridization images, an integrated gene tool and direct online access to AnoXcel, the proteomic database of An. gambiae. Moreover, AnoBase also contains information on non-gambiae mosquito species and a novel section on studies related to insecticide resistance.

Proper citation: AnoBase: An Anopheles database (RRID:SCR_008166) Copy   

•   Source: SciCrunch Registry

http://chromium.lovd.nl/LOVD2/home.php?select_db=CDKN2A

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The CDKN2A Database presents the germline and somatic variants of the CDKN2A tumor suppressor gene recorded in human disease through June 2003, annotated with evolutionary, structural, and functional information, in a format that allows the user to either download it or manipulate it for their purposes online. The goal is to provide a database that can be used as a resource by researchers and geneticists and that aids in the interpretation of CDKN2A missense variants. Most online mutation databases present flat files that cannot be manipulated, are often incomplete, and have varying degrees of annotation that may or may not help to interpret the data. They hope to use CDKN2A as a prototype for integrating computational and laboratory data to help interpret variants in other cancer-related genes and other single nucleotide polymorphisms (SNPs) found throughout the genome. Another goal of the lab is to interpret the functional and disease significance of missense variants in cancer susceptibility genes. Eventually, these results will be relevant to the interpretation of single nucleotide polymorphisms (SNPs) in general. The CDKN2A locus is a valuable model for assessing relationships among variation, structure, function, and disease because: Variants of this gene are associated with hereditary cancer: Familial Melanoma (and related syndromes); somatic alterations play a role in carcinogenesis; allelic variants occur whose functional consequences are unknown; reliable functional assays exist; and crystal structure is known. All variants in the database are recorded according to the nomenclature guidelines as outlined by the Human Genome Variation Society. This database is currently designed for research purposes only and is not yet recommended as a clinical resource. Many of the mutations reported here have not been tested for disease association and may represent normal, non-disease causing polymorphisms.

Proper citation: CDKN2A Database (RRID:SCR_008179) Copy   

•   Source: SciCrunch Registry