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http://darwin.uvigo.es/software/treescan.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. Software application that is intended to provide p-values for the hypothesis of association between evolutionary clades and continuous traits, using haplotype trees. (entry from Genetic Analysis Software)

Proper citation: TREESCAN (RRID:SCR_007108) Copy   

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http://pngu.mgh.harvard.edu/purcell/whap/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 24, 2015. This package is no longer supported. The majority of the functionality for conditional haplotype tests in population-based samples has been implemented in PLINK, with a better interface and more robust, faster computation: please use that from now on. Software tool to perform haplotype-based association analysis, for quantitative and qualitative traits, in population and family samples, using single nucleotide polymorphism or multiallelic marker data. What whap can do: * Analyze quantitative and qualitative traits * Handle unrelated individuals and/or parent-offspring trio data * Perform a regression-based haplotype association test for SNP data * Perform a secondary test based on pairwise haplotype similarity * Phase genotype data using a standard E-M approach, and handle ambiguity in E-M inferred haplotypes * Include covariates and moderator variables * Flexibly constrain effects across haplotypes to tested nested models * Perform a robust within-family test when parental genotypes are present * Analyze multiallelic markers (new) * Use dominant or recessive (new) genetic models (new)

Proper citation: Whap (RRID:SCR_007103) Copy   

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

Software application (entry from Genetic Analysis Software)

Proper citation: R/SPECTRAL-GEM (RRID:SCR_007414) Copy   

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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://csg.sph.umich.edu/boehnke/sibmed.php

Software application that identifies likely genotyping errors and mutations for a sib pair in the context of multipoint mapping. (entry from Genetic Analysis Software)

Proper citation: SIBMED (RRID:SCR_007495) Copy   

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http://www.sanger.ac.uk/Projects/D_rerio/zmp/

Create knockout alleles in protein coding genes in the zebrafish genome, using a combination of whole exome enrichment and Illumina next generation sequencing, with the aim to cover them all. Each allele created is analyzed for morphological differences and published on the ZMP site. Transcript counting is performed on alleles with a morphological phenotype. Alleles generated are archived and can be requested from this site through the Zebrafish International Resource Center (ZIRC). You may register to receive updates on genes of interest, or browse a complete list, or search by Ensembl ID, gene name or human and mouse orthologue.

Proper citation: ZMP (RRID:SCR_006161) Copy   

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http://www.mousephenotype.org/

Center that produces knockout mice and carries out high-throughput phenotyping of each line in order to determine function of every gene in mouse genome. These mice will be preserved in repositories and made available to scientific community representing valuable resource for basic scientific research as well as generating new models for human diseases.

Proper citation: International Mouse Phenotyping Consortium (IMPC) (RRID:SCR_006158) 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://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   

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http://ki.se/ki/jsp/polopoly.jsp?d=29350&a=31591&l=en

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The aim of the study is to improve the understanding of psychiatric co-morbidity and personality traits as a means to improving prevention and treatment for women with hereditary vulnerability to develop alcohol and / or drug dependence. In depth phenotypic assessment through structured interviews with women with alcohol or drug abuse in order to assess history, psychiatric morbidity and personality traits potentially related to environmental and/or hereditary alcoholism. Association studies of polymorphic markers in candidate genes. Blood samples and interviews performs on 200 women with alcohol dependents to examine mental illness and specific personality characteristics associated to environment and/or hereditary form of alcoholism. Blood samples are also collected from 200 healthy women which functions as controls.

Proper citation: KI Biobank - ALF (RRID:SCR_008880) Copy   

•   Source: SciCrunch Registry

http://www.genetics.emory.edu/labs/epstein/software/scout/index.html

Software program for conducting combined association analysis of triads and unrelated subjects (entry from Genetic Analysis Software)

Proper citation: SCOUT (RRID:SCR_009054) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 29, 2016. Software for segregation and pathway analysis.

Proper citation: SEGPATH (RRID:SCR_009052) Copy   

•   Source: SciCrunch Registry

http://www.mds.qmw.ac.uk/statgen/dcurtis/software.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documetned on May 12,2023. Software application (entry from Genetic Analysis Software)

Proper citation: FASTMAP (2) (RRID:SCR_008635) 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   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 29, 2016. Software application to calculate kinship coefficient or coefficient of coancestry (the probability that alleles at a given locus are identical by descent).

Proper citation: KIN (RRID:SCR_009047) Copy   

•   Source: SciCrunch Registry

http://chgr.mc.vanderbilt.edu/genomeSIMLA/

Software application that is a forward-time population simulation method that can simulate realistic patterns of LD in both family-based and case-control datasets. (entry from Genetic Analysis Software)

Proper citation: GENOMESIMLA (RRID:SCR_008990) Copy   

•   Source: SciCrunch Registry

http://www.genogram.org/

Software application that is a graphic way of organizing the mass of information gathered during a family assessment and finding patterns in the family system (entry from Genetic Analysis Software)

Proper citation: GENOGRAM-MAKER (RRID:SCR_008751) Copy   

•   Source: SciCrunch Registry

http://www.hoschl.cz/faster/

Software application to reduce family members so the families can be used in GENEHUNTER program. FASTER eliminates the most redundant individuals according to the set of weights (preferences) (Age, Information about genetic Markers, etc.) The program has several features such as automatical reducement of branches without any affected individuals, etc. (entry from Genetic Analysis Software)

Proper citation: FASTER (RRID:SCR_009045) Copy   

•   Source: SciCrunch Registry