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http://genetics.agrsci.dk/~bg/popgen/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. Software application that calculates a number of different genetic identities, phylogeny reconstructing measures, and distance reconstructing measures (entry from Genetic Analysis Software)

Proper citation: POPDIST (RRID:SCR_004904) Copy   

•   Source: SciCrunch Registry

http://ki.se/ki/jsp/polopoly.jsp?d=29332&a=103697&l=en

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 3rd,2023. Recently it has been discovered that specific Single Nucleotide Polymorphisms (SNPs) may elevate the risk of developing prostate cancer. This study aims at investigating whether it is possible to use these SNPs in a clinical setting in order to sharpen the diagnostic tools when investigating if a man has prostate cancer. By collecting blood from men who have undergone a needle biopsy of the prostate and do a SNP analysis of their genes and compare this with the result of the biopsy and PSA result we hope to be able to develop a test that is more specific than the routine that is being used today. Sample types: * EDTA whole blood * DNA Number of sample donors: 5321 (June 2010)

Proper citation: SPSAC - Stockholm PSA Cohort (RRID:SCR_006042) Copy   

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http://www.procap.ki.se/procap_studie_info.htm

PROCAP is a study of the importance of lifestyle and genetic factors in the progression of localized cancer of the prostate. Our study hypothesis is that the likelihood of disease recurrence of prostate cancer is modified or determined by genetic variation in the human genome and/or lifestyle factors. To be able to test our hypothesis, we are using a large, population-based cohort of men with localized prostate cancer in Sweden, recruited in 1997-2002, from which detailed clinical information and data on progression already have been collected. From this cohort, we are collecting lifestyle data and blood samples from 8,500 men. If men with progressive prostate cancer could be identified on their genetic make-up, they could be given additional therapies targeted specifically at prostate cancer progression or monitored even more frequently so that progressions could be treated even earlier. If lifestyle factors are important, these results have an impact on recommendations given to men with newly diagnosed prostate cancer. In the study, we are asking the study persons to fill in an Internet-based questionnaire focusing on diet and physical activity and we ask them to leave 2 test tubes of blood at their local urologist/health care center. The pilot study has recently been completed and evaluated and the remaining 7,500 men in the cohort will be included during 2007 and 2008. So far, we have a response rate of approximately 85% on the blood samples. The response rate for the questionnaire is approximately 80% (both in the web based and paper based versions combined). Genotyping and analysis will begin in the fall of 2008. Sample types: * EDTA whole blood * Plasma * DNA Number of sample donors: 5492 (sample collection completed)

Proper citation: KI Biobank - PROCAP (RRID:SCR_006038) Copy   

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http://ki.se/imm/cefalo-studien

Saliva taken from participants in a study investigating the association between environmental exposures and brain tumors in children aged 7-19 years and the interaction between these risk factors and genetic polymorphisms, which may confer susceptibility to effects of exogenous agents. Sample types: * Saliva Number of sample donors: 886 (sample collection completed)

Proper citation: KI Biobank - CEFALO (RRID:SCR_006034) Copy   

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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   

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http://gaow.github.io/genetic-analysis-software/l-1.html#ldsupport

Software application (entry from Genetic Analysis Software)

Proper citation: LDSUPPORT (RRID:SCR_007036) Copy   

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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   

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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://pubmatrix.grc.nia.nih.gov/

PubMatrix is a web-based tool that allows simple text based mining of the NCBI literature search service PubMed using any two lists of keywords terms, resulting in a frequency matrix of term co-occurrence. PubMatrix is a simple way to rapidly and systematically compare any list of terms against any other list of terms in PubMed. It reports back the frequency of co-occurrence between all pairwise comparisons between the two lists as a matrix table. Lists of terms can be anything; gene names, diseases, gene functions, authors, etc. The user can then quickly sort or browse the frequency matrix table to do individual searches independently. This allows the user to build up tables of word relationships in PubMed in the context of your experiments or your scientific interests. This is useful for analyzing combinatorial datasets, as found with multiplex experimental systems, such as cDNA microarrays, genomic, proteomic, or other multiplex comparisons. The PubMatrix database is an archive of previous searches on many topics. Sponsors: PubMatrix is supported by the National Institutes of Health.

Proper citation: PubMatrix (RRID:SCR_008236) Copy   

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

Software application (entry from Genetic Analysis Software)

Proper citation: BMAPBUILDER (RRID:SCR_007264) Copy   

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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   

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http://xgc.nci.nih.gov/

NIH initiative to support production of cDNA libraries, clones and 5'/3' sequences and to provide set of full-length (open reading frame) sequences and cDNA clones of expressed genes for Xenopus laevis and Xenopus tropicalis. Clones distribution is outsourced to for profit companies. Project concluded in September 2008. Resources generated by XGC are publicly accessible to biomedical research community. All sequences are deposited into GenBank.Corresponding clones are available through IMAGE clone distribution network. With conclusion of XGC project, GenBank records of XGC sequences will be frozen, without further updates. Since knowledge of what constitutes full-length coding region for some of genes and transcripts for which we have XGC clones will likely change in future, users planning to order XGC clones will need to monitor for these changes. Users can make use of genome browsers and gene-specific databases, such as UCSC Genome browser, NCBI's Map Viewer, and Entrez Gene, to view relevant regions of genome (browsers) or gene-related information (Entrez Gene).

Proper citation: Xenopus Gene Collection (RRID:SCR_007023) 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://montana.eagle-i.net/i/0000012b-00be-4e65-df3b-3fdc80000000

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 27, 2023. Core for Microarray analysis, Database development, Systems biology analysis, Genome assembly, Pathway data analysis, Expression data analysis, Metagenomics analysis. To maintain equipment and software for bioinformatic research, promote bioinformatics education on the MSU campus, and provide training and support to biologists implementing bioinformatics tools in their research.

Proper citation: Montana State University Bioinformatics Core Facility (RRID:SCR_009937) Copy   

•   Source: SciCrunch Registry

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

Software package in S-PLUS and R to test genetic linkage with covariates by regression methods with response IBD sharing for relative pairs. Account for correlations of IBD statistics and covariates for relative pairs within the same pedigree. (entry from Genetic Analysis Software)

Proper citation: IBDREG (RRID:SCR_013127) Copy   

•   Source: SciCrunch Registry

http://lincsportal.ccs.miami.edu/dcic-portal/

Portal which provides a unified interface for searching LINCS dataset packages and reagents. Users can use the portal to access datasets, small molecules, cells, genes, proteins and peptides, and antibodies.

Proper citation: LINCS Data Portal (RRID:SCR_014939) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/UniGene/help.cgi?item=DDD

Software tool for comparing EST profiles in order to identify genes with significantly different expression levels.

Proper citation: Digital Differential Display (DDD) (RRID:SCR_016638) Copy   

•   Source: SciCrunch Registry

https://www.jax.org/news-and-insights/2013/february/komp2-mice-phenotyping-and-availability

Knockout Mouse Phenotyping Project, JAX information about their contributions to KOMP2 project. Project to generate and phenotype single gene KO mouse strains from KOMP ES cell lines. Strains are phenotyped using protocols in pipeline designed by International Mouse Phenotyping Consortium. There are three NIH-funded phenotyping centers in United States: JAX, BaSH Consortium (Baylor College of Medicine, the Wellcome Trust Sanger Institute and MRC Harwell), and the DTCC Consortium (University of California at Davis, the Toronto Center for Phenogenomics, Children’s Hospital Oakland Research Institute (CHORI) and Charles River ).

Proper citation: KOMP2 (RRID:SCR_017528) Copy   

•   Source: SciCrunch Registry

https://github.com/AlexsLemonade/refinebio

Software tool to uniformly process and normalize large amounts of data. Harmonizes petabytes of publicly available biological data into ready-to-use datasets for cancer researchers and AI/ML scientists.

Proper citation: refine.bio (RRID:SCR_017471) Copy   

•   Source: SciCrunch Registry