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http://statgenpro.psychiatry.hku.hk/limx/kggseq/
A biological Knowledge-based mining platform for Genomic and Genetic studies using Sequence data. The software platform, constituted of bioinformatics and statistical genetics functions, makes use of valuable biologic resources and knowledge for sequencing-based genetic mapping of variants / genes responsible for human diseases / traits. It facilitates geneticists to fish for the genetic determinants of human diseases / traits in the big sea of DNA sequences. KGGSeq has paid attention to downstream analysis of genetic mapping. The framework was implemented to filter and prioritize genetic variants from whole exome sequencing data.
Proper citation: KGGSeq (RRID:SCR_005311) Copy
The NBIA Disorders Association, formerly known as Hallervorden-Spatz Syndrome Association, (HSSA) was originally founded in 1996 by President, Patricia Wood. The goals of the association are to raise funds to support research pertinent to NBIA; to provide emotional support to those afflicted with NBIA and their families; and to raise public awareness of NBIA. The NBIA Disorders Association is accepting applications for one-year grants for clinical and translational research studies related to the early detection, diagnosis, or treatment of patients with NBIA. Neurodegeneration with Brain Iron Accumulation (NBIA) is a group of rare, genetic, neurological disorders characterized by the accumulation of iron deposits in the brain and progressive degeneration of the nervous system. It typically first appears in childhood. Presenting signs and symptoms may include difficulty walking, loss of balance, and problems related to speech. Those affected suffer a progressive loss of muscle control, sudden involuntary muscle spasms, and uncontrolled tightening of the muscles. Symptoms may also include disorientation, seizures, and deterioration of intellectual ability. Approximately half of the cases diagnosed have been linked to a mutation of a gene known as PANK2. At the present time, symptoms may be treated but there is no cure. The purpose of the NBIA Disorders Association Research Grant Program is to encourage meritorious research studies designed to improve the diagnosis or treatment of NBIA. The research can be conducted in the United States, countries of the European Union, Canada, Australia, New Zealand, Brazil, Argentina, Chile, South Africa, Japan, or Israel, and in other countries where adequate supervision of grant administration is possible. Grants will be awarded to qualified researchers to initiate pilot studies, the results of which are intended to be used to obtain larger multi-year grant funding. Evaluation of proposals will follow NIH guidelines and include careful consideration of experimental or protocol design, objectivity or relevance of parameters measured, and statistical analysis plan. Proposals that address the following areas will be given priority: * Therapeutics Development: ** Development of pantethine and its derivatives ** Development of other rational therapeutics * Animal & Cellular Models: ** Development of a new rodent disease model by targeted insertion of a ''human disease'' mutation into Pank2 ** Development of induced pluripotent stem cell lines. *** Development of animal and cellular models will be considered for multi-year funding with adequate budget justification. Proposals should detail a research plan and a budget for the initial phase of the work, with the option to contract further work out to a commercial enterprise. * Biomarker Discovery and Assay Development: ** Metabolomics ** Coenzyme A / acyl coenzyme A measurement using accessible (peripheral and central) tissue/fluid * New NBIA gene discovery
Proper citation: NBIA Disorders Association (RRID:SCR_005382) Copy
https://www.ncbi.nlm.nih.gov/pubmed/17539361
Study of twins and their families provides tool for disentangling genetic and environmental origins of traits. Study collected behavioral and psychopathological information using self-, parent and teacher reports, and focused on contributions of genetic and environmental risk factors to psychological health of young people.
Proper citation: Cardiff Study of all Wales and North West of England Twins (RRID:SCR_017480) Copy
http://cran.r-project.org/web/packages/gap/
GAP is designed as an integrated package for genetic data analysis of both population and family data. Currently, it contains functions for sample size calculations of both population-based and family-based designs, classic twin models, probability of familial disease aggregation, kinship calculation, some statistics in linkage analysis, and association analysis involving one or more genetic markers including haplotype analysis with or without environmental covariates.
Proper citation: Genetic Analysis Package (RRID:SCR_003006) Copy
http://med.stanford.edu/tanglab/software/saber.html
Software program suitable for genome-scale data which uses a Markov-hidden Markov model (MHMM) to estimate local ancestry. The MHMM makes it possible to identify genomic blocks of a particular ancestry by use of any high-density single-nucleotide-polymorphism panel. One application is to perform admixture mapping without genotyping special ancestry-informative-marker panels.
Proper citation: SABER (RRID:SCR_001257) Copy
http://www.wpic.pitt.edu/wpiccompgen/GemTools/GemTools.htm
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software tools for modeling genetic ancestry based on the single nucleotide polymorphism (SNP) information. This package of functions helps the user account for genetic ancestry of a large number of individuals using spectral graph theory and projections to break a large problem into smaller pieces and calculate genetic ancestry information efficiently, i.e., a divide and conquer (dac) strategy. It is completely written in R and runs on any platform that supports R.
Proper citation: GemTools (RRID:SCR_001259) Copy
Collaborative venture between the National Institute of Mental Health (NIMH) and several academic institutions. Repository facilitates psychiatric genetic research by providing patient and control samples and phenotypic data for wide-range of mental disorders and Stem Cells.Stores biosamples, genetic, pedigree and clinical data collected in designated NIMH-funded human subject studies. RGR database likewise links to other repositories holding data from same subjects, including dbGAP, GEO and NDAR. Allows to access these data and biospecimens (e.g., lymphoblastoid cell lines, induced pluripotent cell lines, fibroblasts) and further expand genetic and molecular characterization of patient populations with severe mental illness.
Proper citation: NIMH Repository and Genomics Resources (RRID:SCR_006698) Copy
http://galton.uchicago.edu/~junzhang/LAPSTRUCT.html
Software application to describe population structure using biomarker data ( typically SNPs, CNVs etc.) available in a population sample. The main features different from PCA are: (1) geometrically motivated and graphic model based; (2)robustness of outliers. (entry from Genetic Analysis Software)
Proper citation: LAPSTRUCT (RRID:SCR_007550) Copy
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
http://www003.upp.so-net.ne.jp/pub/publications.html#sl
Software application for inkage disequilibrium grouping of single nucleotide polymorphisms (SNPs) reflecting haplotype phylogeny for efficient selection of tag SNPs. (entry from Genetic Analysis Software)
Proper citation: LDGROUP (RRID:SCR_006282) Copy
Part of zebrafish genome project. ZGC project to produce cDNA libraries, clones and sequences to provide complete set of full-length (open reading frame) sequences and cDNA clones of expressed genes for zebrafish. All ZGC sequences are deposited in GenBank and clones can be purchased from distributors of IMAGE consortium. With conclusion of ZGC project in September 2008, GenBank records of ZGC sequences will be frozen, without further updates. Since definition of what constitutes full-length coding region for some of genes and transcripts for which we have ZGC clones will likely change in future, users planning to order ZGC 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: Zebrafish Gene Collection (RRID:SCR_007054) Copy
http://www-gene.cimr.cam.ac.uk/clayton/software/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 12,2023. Software application that tests for association between genetic marker and disease by examining the transmission of markers from parents to affected offspring. The main features which differ from other similar programs are: (1) It can deal with transmission of multi-locus haplotypes, even if phase is unknown, and (2) Parental genotypes may be unknown. (entry from Genetic Analysis Software)
Proper citation: TRANSMIT (RRID:SCR_007571) Copy
http://gaow.github.io/genetic-analysis-software/l/linkage---ceph/
Software application (entry from Genetic Analysis Software)
Proper citation: LINKAGE - CEPH (RRID:SCR_007048) Copy
http://compgen.rutgers.edu/multimap.shtml
Software program for automated construction of genetic maps (entry from Genetic Analysis Software)
Proper citation: MULTIMAP (RRID:SCR_007168) Copy
https://github.com/gaow/genetic-analysis-software/blob/master/pages/MAPMAKER%26SIBS.md
THIS RESOURCE IS NO LONGER IN SERVCE, documented September 22, 2016. Data analysis software for complete multipoint analysis.
Proper citation: MAPMAKER/SIBS (RRID:SCR_008012) Copy
http://www.stat.washington.edu/thompson/Genepi/MORGAN/Morgan.shtml
Software programs for segregation and linkage analysis, using a variety of Markov chain Monte Carlo (MCMC) methods. Includes MCMC methods for multilocus gene identity by descent (including homozygosity mapping) and Monte Carlo Lod scores. Also, other programs for EM analysis of quantitative traits.
Proper citation: MORGAN (RRID:SCR_006906) Copy
http://www.pierroton.inra.fr/genetics/labo/Software/Famoz/index.html
Software application that uses likelihood calculation and simulation to perform parentage studies with codominant, dominant, cytoplasmic markers or combinations of the different types (entry from Genetic Analysis Software)
Proper citation: FAMOZ (RRID:SCR_007477) Copy
http://www.mds.qmw.ac.uk/statgen/dcurtis/software.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5th,2023. Software application that uses Monte Carlo method for assessing significance of a case-control association study with multi-allelic marker. (entry from Genetic Analysis Software).
Proper citation: CLUMP (RRID:SCR_007476) Copy
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
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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