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On page 13 showing 241 ~ 260 out of 795 results
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  • RRID:SCR_009242

    This resource has 1+ mentions.

http://www.chgb.org.cn/htSNPer/htSNPer.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4, 2023.Java program for characterizing the haplotype block structure and selecting haplotype tagging SNP (entry from Genetic Analysis Software)

Proper citation: HTSNPER (RRID:SCR_009242) Copy   


  • RRID:SCR_009240

    This resource has 1+ mentions.

http://www.math.mtu.edu/~shuzhang/software.html

Software application for testing association using tightly linked markers in nuclear pedigrees (entry from Genetic Analysis Software)

Proper citation: HS-TDT (RRID:SCR_009240) Copy   


  • RRID:SCR_009279

    This resource has 1+ mentions.

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

Software application that infers genealogies from population genotype data and uses these to map disease loci. These genealogies take the form of the Ancestral Recombination Graph (ARG). The ARG defines a genealogical tree for each locus, and as one moves along the chromosome the topologies of consecutive trees shift according to the impact of historical recombination events. (entry from Genetic Analysis Software)

Proper citation: MARGARITA (RRID:SCR_009279) Copy   


  • RRID:SCR_009277

    This resource has 100+ mentions.

http://www.dpw.wau.nl/pv/PUB/MapComp/

Software application that can be used to compare linkage maps obtained from different sources/populations/etc.. It will draw the linkage maps and look for common marker names, these are then connected in the drawing with dashed lines. All neighboring maps are compared in this way. Images can be printed and saved. Orders of the MAPs (ie which map is compared with which other map) can be changed and maps can be flipped (right mouse button). remark: MapComp bears close relationships with the GGT software package (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: MAPINSPECT (RRID:SCR_009277) Copy   


  • RRID:SCR_009275

    This resource has 100+ mentions.

http://mapdisto.free.fr/

Software program for mapping genetic markers in experimental segregating populations like backcross, doubled haploids, single-seed descent. Its specificity is to propose recombination fraction estimates in case of segregation distortion. It can (1) compute and draw genetic maps easily and quickly through a graphical interface; (2) facilitate the analysis of marker data showing segregation distortion due to differential viability of gametes or zygotes. (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: MAPDISTO (RRID:SCR_009275) Copy   


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

Software application for multiple pairwise linkage analysis under interference (entry from Genetic Analysis Software)

Proper citation: MAP/MAP+/MAP+H/MAP2000 (RRID:SCR_009272) Copy   


  • RRID:SCR_009271

    This resource has 1+ mentions.

http://www.marksgeneticsoftware.net/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 16,2023. Software application that tests for population structure through the use of Mantel tests (entry from Genetic Analysis Software)

Proper citation: MANTEL-STRUCT (RRID:SCR_009271) Copy   


  • RRID:SCR_009269

http://pritch.bsd.uchicago.edu/software/maldsoft_download.html

Software program for admixture mapping of complex trait loci, using case-control data. The samples should come from a recently-admixed population; additional ''learning'' samples from the parental populations are helpful. (entry from Genetic Analysis Software)

Proper citation: MALDSOFT (RRID:SCR_009269) Copy   


  • RRID:SCR_009265

    This resource has 1+ mentions.

http://ftp://linkage.rockefeller.edu/software/lrtae/

Software application to compute a likelihood ratio test statistic that increases power to detect genetic association in the presence of phenotype, genotype, and/or haplotype misclassification errors. In addition, the program produces asymptotically unbiased estimates of frequency parameters. (entry from Genetic Analysis Software)

Proper citation: LRTAE (RRID:SCR_009265) Copy   


  • RRID:SCR_009261

http://c2s2.yale.edu/software/lot/

Software application (entry from Genetic Analysis Software)

Proper citation: LOT (RRID:SCR_009261) Copy   


  • RRID:SCR_008120

    This resource has 50+ mentions.

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   


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   


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   


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   


  • RRID:SCR_008179

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   


http://jbirc.jbic.or.jp/hinv/ppi/

The PPI view displays H-InvDB human protein-protein interaction (PPI) information. It is constructed by assigning interaction data to H-InvDB proteins which were originally predicted from transcriptional products generated by the H-Invitational project. The PPI view is now providing 32,198 human PPIs comprised of 9,268 H-InvDB proteins. H-Invitational Database (H-InvDB) is an integrated database of human genes and transcripts. By extensive analyses of all human transcripts, we provide curated annotations of human genes and transcripts that include gene structures, alternative splicing isoforms, non-coding functional RNAs, protein functions, functional domains, sub-cellular localizations, metabolic pathways, protein 3D structure, genetic polymorphisms (SNPs, indels and microsatellite repeats) , relation with diseases, gene expression profiling, molecular evolutionary features, protein-protein interactions (PPIs) and gene families/groups. Sponsors: This research is financially supported by the Ministry of Economy, Trade and Industry of Japan (METI), the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT) and the Japan Biological Informatics Consortium (JBIC). Also, this work is partly supported by the Research Grant for the RIKEN Genome Exploration Research Project from MEXT to Y.H. and the Grant for the RIKEN Frontier Research System, Functional RNA research program.

Proper citation: H-Invitational Database: Protein-Protein Interaction Viewer (RRID:SCR_008054) Copy   


  • RRID:SCR_008347

    This resource has 1+ mentions.

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   


  • RRID:SCR_009075

    This resource has 1+ mentions.

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   


  • RRID:SCR_009155

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   


  • RRID:SCR_006467

    This resource has 100+ mentions.

http://www.ala.org.au/

Online repository of information about Australian plants, animals, and fungi. Development started in 2006. The Commonwealth Scientific and Industrial Research Organisation is organisation significantly involved in development of ALA.

Proper citation: Atlas of Living Australia (RRID:SCR_006467) Copy   



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