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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Globin Gene Server Resource Report Resource Website 10+ mentions |
Globin Gene Server (RRID:SCR_001480) | Globin Gene Server | data analysis service, analysis service resource, resource, data or information resource, production service resource, source code, service resource, software resource, narrative resource, training material, database | Data and tools for studying the function of DNA sequences, with an emphasis on those involved in the production of hemoglobin. It includes information about naturally-occurring human hemoglobin mutations and their effects, experimental data related to the regulation of the beta-like globin gene cluster, and software tools for comparing sequences with one another to discover regions that are likely to play significant roles. | dna sequence, hemoglobin, mutation, globin gene cluster, sequence comparison, functional genomics, gene, alignment, genetic analysis, variant, gene expression, protein, thalassemia, globin gene, genome, pairwise alignment, multiple alignment, annotation, sequence analysis, dna |
is listed by: NIDDK Information Network (dkNET) has parent organization: Pennsylvania State University |
NLM R01LM05773; NLM R01LM05110; NIDDK DK27635 |
PMID:11857738 PMID:11480780 PMID:9799599 PMID:9576329 PMID:8088828 |
Free, Freely available | nlx_152723 | SCR_001480 | 2026-02-14 02:00:04 | 27 | ||||||
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Brain Gene Expression Map Resource Report Resource Website 10+ mentions |
Brain Gene Expression Map (RRID:SCR_001517) | BGEM | expression atlas, data or information resource, atlas, database | This database contains gene expression patterns assembled from mouse nervous tissues at 4 time points throughout brain development including embryonic (e) day 11.5, e15.5, postnatal (p) day 7 and adult p42. Using a high throughput in situ hybridization approach we are assembling expression patterns from selected genes and presenting them in a searchable database. The database includes darkfield images obtained using radioactive probes, reference cresyl violet stained sections, the complete nucleotide sequence of the probes used to generate the data and all the information required to allow users to repeat and extend the analyses. The database is directly linked to Pubmed, LocusLink, Unigene and Gene Ontology Consortium housed at the National Center for Biotechnology Information (NCBI) in the National Library of Medicine. These data are provided freely to promote communication and cooperation among research groups throughout the world. | embryonic, expression pattern, gene expression, gene, adult, brain, brain development, in situ hybridization, mouse, nervous tissue, postnatal, molecular neuroanatomy resource, image | NINDS 5R37NS036558; NINDS N01-NS-0-2331 |
PMID:16602821 | nif-0000-09579 | SCR_001517 | BGEM - Brain Gene Expression Map, Mousebrain Gene Expression Map | 2026-02-14 02:00:02 | 10 | |||||||
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GenitoUrinary Development Molecular Anatomy Project Resource Report Resource Website 100+ mentions |
GenitoUrinary Development Molecular Anatomy Project (RRID:SCR_001554) | GUDMAP | biomaterial supply resource, organism supplier, material resource | Project aggregates and provides experimental gene expression data from genito-urinary system. International consortium providing molecular atlas of gene expression for developing organs of GenitoUrinary (GU) tract. Mouse strains to facilitate developmental and functional studies within GU system. Experimental protocols and standard specifications. Tutorials describing GU organogenesis and primary data via database. Data are from large-scale in situ hybridization screens (wholemount and section) and microarray gene expression data of microdissected, laser-captured and FACS-sorted components of developing mouse genitourinary (GU) system. | gene expression, genitourinary tract, molecular anatomy, genitourinary system, organogenesis, genitourinary, in situ hybridization, immunohistochemistry, microarray, mutant mouse strain, development, rna, protein, theiler stage, gene, anatomy, male, female, embryonic mouse, kidney, urogenital tract, urinary, reproductive, disease, molecule, cell, gene, phenotype, functional annotation, protein interaction, transgenic transgene, image, rna extraction, sample preparation, fluorescent immunohistochemistry, rna isolation, rna amplification, labeling, fluorescent in situ-hybridization, riboprobe synthesis, cellular localization, tissue isolation, embedding, cryostat sectioning, laser capture microdissection, paraffin, whole mount, optimal cutting temperature, riboprobe synthesis, target amplification, sectioning, FASEB list |
is used by: NIDDK Information Network (dkNET) is listed by: One Mind Biospecimen Bank Listing is listed by: NIDDK Information Network (dkNET) is listed by: NIDDK Research Resources is listed by: Collaborating for the Advancement of Interdisciplinary Research in Benign Urology is related to: ToppCluster is related to: One Mind Biospecimen Bank Listing is parent organization of: GUDMAP Ontology is parent organization of: GATACA GUDMAP Gene Explorer |
NIDDK DK070136; NIDDK DK070200; NIDDK DK070181 |
PMID:21652655 PMID:18287559 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_152871, nif-0000-33426 | SCR_001554 | Murine Atlas for Genitourinary Development | 2026-02-14 02:00:11 | 287 | |||||
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TaLasso Resource Report Resource Website 1+ mentions |
TaLasso (RRID:SCR_001726) | TaLasso | data analysis service, analysis service resource, production service resource, service resource, software resource | Tool for quantification of human miRNA-mRNA Interactions. TaLasso is also available as Matlab or R code. | mirna, mrna, matlab, r, gene expression, gene |
is listed by: OMICtools has parent organization: Autonomous University of Madrid; Madrid; Spain |
PMID:22348024 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00417 | SCR_001726 | 2026-02-14 02:00:09 | 1 | |||||||
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Sea Urchin Genome Project Resource Report Resource Website 1+ mentions |
Sea Urchin Genome Project (RRID:SCR_001735) | data or information resource, portal, project portal | Provides informationa about Genome of California Purple Sea Urchin, one species (Strongylocentrotus purpuratus) of which has been sequenced and annotated by Sea Urchin Genome Sequencing Consortium led by HGSC. Reports sequence and analysis of genome of sea urchin Strongylocentrotus purpuratus, a model for developmental and systems biology. | echinoderm, evolutionary, fragile urchin, gene, genome, allocentrotus fragilis, bacterial artificial chromosome (bac), biology, chromosome, clone, core facility, deuterostome, developmental biology, heterozygosity, metabase, model, sea urchin, sequence, shotgun, strongylocentrotus franciscanus, strongylocentrotus purpuratus, systems biology, vertebrate | has parent organization: Baylor University; Texas; USA | Free, Freely Available | nif-0000-25606, SCR_002841, nif-0000-10253 | http://www.hgsc.bcm.tmc.edu/project-species-o-Strongylocentrotus%20purpuratus.hgsc?pageLocation=Strongylocentrotus%20purpuratus | SCR_001735 | Sea Urchin, HGSC Sea Urchin Genome Project | 2026-02-14 02:00:09 | 1 | |||||||
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DNACLUST Resource Report Resource Website 1+ mentions |
DNACLUST (RRID:SCR_001771) | software resource | Software program for clustering large number of short similar DNA sequences. It was originally designed for clustering targeted 16S rRNA pyrosequencing reads. | cluster, dna sequence, gene, 16s rrna pyrosequencing read, microbiome |
is listed by: OMICtools is listed by: Human Microbiome Project is listed by: Debian has parent organization: SourceForge |
PMID:21718538 DOI:10.1186/1471-2105-12-271 |
Free, Available for download, Freely available | OMICS_01955 | https://sources.debian.org/src/dnaclust/ | SCR_001771 | DNAClust | 2026-02-14 02:00:10 | 9 | ||||||
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PLINK Resource Report Resource Website 10000+ mentions Issue |
PLINK (RRID:SCR_001757) | data processing software, data analysis software, software toolkit, software application, software resource | Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software. | gene, genetic, genomic, genotype, phenotype, copy number variant, whole-genome association, population, linkage analysis, whole-genome association study, data management, summary statistics, population stratification, association analysis, identity-by-descent estimation |
is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is listed by: SoftCite is related to: Whap is related to: PLINK/SEQ is related to: Haploview is related to: MendelIHT.jl |
PMID:17701901 DOI:10.1086/519795 |
Free, Available for download, Freely Available | nlx_154200, OMICS_00206, SCR_021271 | https://zzz.bwh.harvard.edu/plink/ https://www.cog-genomics.org/plink/1.9/general_usage#cite https://sources.debian.org/src/plink/ |
http://pngu.mgh.harvard.edu/~purcell/plink/ | SCR_001757 | PLINK 1.9, PLINK/SEQ, plink - Whole genome association analysis toolset | 2026-02-14 02:00:10 | 15344 | |||||
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South African National Bioinformatics Institute: Resources Resource Report Resource Website |
South African National Bioinformatics Institute: Resources (RRID:SCR_001867) | data processing software, portal, data or information resource, data analysis software, organization portal, software application, software resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23, 2022. The South African National Bioinformatics Institute delivers biomedical discovery appropriate to both international and African context. Researchers at SANBI perform the highest level of research and provide excellence in education. Research at SANBI has set well recognized milestones in the field of computational biology. The tools and techniques used have not only been developed but also implemented across heterogeneous domains of advanced research. Local and international efforts have driven our discoveries. Until recently, the core of SANBIs research has focused upon gene expression biology. Methods developed and applied at SANBI revolve around a greater understanding of the underlying causes of diseases. SANBI approaches the problem by comparison of genes, genomes and transcriptomes. It uses computational gene expression biology to create novel biological insights and to provide biomarkers for experimental validation. It also performs analysis of human genome variation, transcriptional diversity on both the expression and splicing level and the unravelling of transcriptional regulatory networks. Resources - Hinv, STACKdb, Malaria resources and Trypanosome databases are available for on-line seaching. - SANBI offers WCD, STACKdb, stackPACK and eVOC and the eVOKE viewer as tools that can be downloaded. Sponsors: SANBI receives funding and support from a range of organisations in South Africa and Internationally. Organisations currently supporting SANBI include: South Africa * South African Medical Research Council * South African AIDS Vaccine Initiative * National Bioinformatics Network * National Research Foundation * Claude Leon Foundation * International Business Machines Inc. Europe * European Unions 6th Framework Programme * World Health Organization USA * US National Institutes of Health * Fogarty International Centre * Ludwig Institute for Cancer Research | expression, gene, gene expression, bioinformatics, biological, biology, biomaker, biomedical, computational biology, disease, genome, heterogeneous domain, human, splicing, transcriptional diversity, transcriptional regulatory network, transcriptome, variation | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10432 | SCR_001867 | SANBI | 2026-02-14 02:00:13 | 0 | |||||||||
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SeattleSNPs - Variation Discovery Resource Resource Report Resource Website 50+ mentions |
SeattleSNPs - Variation Discovery Resource (RRID:SCR_001859) | portal, data or information resource, software resource, narrative resource, training material, topical portal | The SeattleSNPs PGA is focused on identifying, genotyping, and modeling the associations between single nucleotide polymorphisms (SNPs) in candidate genes and pathways that underlie inflammatory responses in humans. SeattleSNPs is focused on variation analysis in genes related to the inflammatory response. These gene targets are found in specific pathways and from interacting molecules contributing to this response. Available Resources: - Baseline assembled and complete genomic sequence and chromosomal location for candidate gene targets - Mapping of exon and repeat structure for candidate genes - Amplification primers and conditions - SNPs mapped by location in gene structure - SNPs with immediate surrounding sequence for genotype assay design - Genotypes and relative allele frequencies of the SNPs - Special features of SNPs - location (5', coding, etc.), amino acid substitutions, recurrent variation - Manuals on all protocols, data analysis procedures, and use of software tools - Workshop on genetic variation analysis and a gene submission program for variation analysis Sponsors: SeattleSNPs is funded as part of the National Heart Lung and Blood Institute's (NHLBI) Programs for Genomic Applications (PGA). | exon, gene, gene target, allele, amino acid, amplification, assay, chromosomal, genomic sequence, genotyping, humans, inflammatory response, molecule, pathway, primer, recurrent varation, repeat structure, singe nucleotide polymorphism (snp), substitution, variation analysis | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10423 | http://pga.mbt.washington.edu/ | SCR_001859 | SeattleSNPs | 2026-02-14 02:00:20 | 61 | ||||||||
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Axel Database Resource Report Resource Website |
Axel Database (RRID:SCR_001890) | Axeldb | data repository, storage service resource, data or information resource, service resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 21, 2011. Database focusing on gene expression in the frog Xenopus laevis, it is the web companion to the research papers describing a large-scale in situ hybridization screening in Xenopus embryos. The goals of this large-scale in situ screen project are to identify genes by the characterization of their expression pattern, to partially sequence the corresponding cDNAs and to maintain a database collecting the results. | gene, gene expression, cdna, clone, in situ hybridization, nucleotide sequence, xenopus laevis, embryo xenopus | has parent organization: German Cancer Research Center | HFSP ; Pierre et Marie Curie Fellowship |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02590 | SCR_001890 | 2026-02-14 02:00:10 | 0 | |||||||
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Stanford Genomic Resourses Resource Report Resource Website |
Stanford Genomic Resourses (RRID:SCR_001874) | data or information resource, portal, topical portal | This resource hyperlinks to systematic analysis projects, resources, laboratories, and departments at Stanford University. | gene, genes, aspergillus, candida, genome, genomics, human, mouse | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10436 | SCR_001874 | Genomic Databases | 2026-02-14 02:00:20 | 0 | |||||||||
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Online Encyclopedia for Genetic Epidemiology studies Resource Report Resource Website 10+ mentions |
Online Encyclopedia for Genetic Epidemiology studies (RRID:SCR_001825) | OEGE | data or information resource, portal, topical portal | Portal for researchers to locate information relevant to interpretation and follow-up of human genetic epidemiological discoveries, including: a range of population and case and family genetic epidemiological studies, relevant gene and sequence databases, genetic variation databases, trait measurement, resource labs, journals, software, general information, disease genes and genetic diversity. | encyclopedia, epidemiology, gene, genealogist, genetic, genetic variation, diversity, health, journal, molecular genealogy, population genetics, sequence, software, trait, genome wide association study, genotyping, phenotyping, next generation sequencing, gene association study | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10388 | SCR_001825 | OEGE - Online Encyclopedia for Genetic Epidemiology studies | 2026-02-14 02:00:19 | 12 | ||||||||
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MEME Suite - Motif-based sequence analysis tools Resource Report Resource Website 1000+ mentions |
MEME Suite - Motif-based sequence analysis tools (RRID:SCR_001783) | MEME Suite | data processing software, data analysis service, analysis service resource, data or information resource, production service resource, data analysis software, service resource, source code, software application, software resource, database | Suite of motif-based sequence analysis tools to discover motifs using MEME, DREME (DNA only) or GLAM2 on groups of related DNA or protein sequences; search sequence databases with motifs using MAST, FIMO, MCAST or GLAM2SCAN; compare a motif to all motifs in a database of motifs; associate motifs with Gene Ontology terms via their putative target genes, and analyze motif enrichment using SpaMo or CentriMo. Source code, binaries and a web server are freely available for noncommercial use. | gene ontology, motif, comparative genomics, dna regulatory motif, dna sequence, dna, gene, transcription factor, genome, protein, analysis, function analysis, comparison, cluster, enrichment analysis, sequence analysis, bio.tools, FASEB list |
lists: DREME is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Glam2 is related to: ANNOgesic is related to: memesuite-lite has parent organization: National Biomedical Computation Resource is parent organization of: GOMO - Gene Ontology for Motifs |
NCRR R01 RR021692 | PMID:19458158 DOI:10.1093/nar/gkl198 |
Free, Freely available | nif-0000-10298, biotools:meme_suite, OMICS_08103 | https://bio.tools/meme_suite | http://meme.sdsc.edu/meme4_6_1/intro.html, http://meme.nbcr.net/meme/, https://sources.debian.org/src/meme/ | SCR_001783 | The MEME Suite | 2026-02-14 02:00:18 | 2091 | |||
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SNPper Resource Report Resource Website 10+ mentions |
SNPper (RRID:SCR_001963) | SNPper | software resource | Retrieve known single-nucleotide polymorphisms (SNPs) by position or by association with a gene; save, filter, analyze, display or export SNP sets; explore known genes using names or chromosome positions. | single-nucleotide polymorphism, gene, chromosome |
is listed by: OMICtools has parent organization: University of Florida; Florida; USA |
PMID:12490454 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01926 | SCR_001963 | 2026-02-14 02:00:21 | 49 | |||||||
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Virtual Genetics Education Centre Resource Report Resource Website |
Virtual Genetics Education Centre (RRID:SCR_001958) | VGEC | data or information resource, narrative resource, training material | Hub of evaluated genetics-related teaching resources for teachers and learners in schools and higher education, health professionals and the general public. Suggest or submit a learning resource to the VGEC. Resources include: * simple experiments suitable for all ages * tutorial material * videos on useful techniques * current and relevant links to other evaluated resources The Virtual Genetics Education Centre (VGEC) * Provides information and genetics education resources for higher education, colleges, schools, health professionals and the general public. * Encourages collaboration in the development, evaluation and sharing of genetics education resources * provides links to, and evaluates, sources of information and educational material about genetics. * Explores innovative approaches to teaching and learning in genetics, such as the SWIFT project for example where Second Life is being used to teach some aspects of genetics in a virtual laboratory. | education, genetics, development, teaching, dna, experiment, college student, child, adult, health professional, adolescent, k-12, gene, chromosome, video, evaluation, sharing, learning | has parent organization: University of Leicester; Leicester; United Kingdom | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10529 | SCR_001958 | Virtual Genetics Education Center, GENIE VGEC | 2026-02-14 02:00:11 | 0 | |||||||
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BioModels Resource Report Resource Website 100+ mentions |
BioModels (RRID:SCR_001993) | BIOMD | data repository, storage service resource, portal, data or information resource, service resource, topical portal, database | Repository of mathematical models of biological and biomedical systems. Hosts selection of existing literature based physiologically and pharmaceutically relevant mechanistic models in standard formats. Features programmatic access via Web Services. Each model is curated to verify that it corresponds to reference publication and gives proper numerical results. Curators also annotate components of models with terms from controlled vocabularies and links to other relevant data resources allowing users to search accurately for models they need. Models can be retrieved in SBML format and import/export facilities are being developed to extend spectrum of formats supported by resource. | FAIR sharing, mathematical model, computational model, simulation, kinetic model, annotation, web service, data analysis service, systems biology, biological model, biology, molecular biology, nucleotide sequence, gene expression, protein, gene, dna, rna, genetics, gold standard |
is listed by: 3DVC is listed by: re3data.org is listed by: DataCite is related to: SBML is related to: PathCase Pathways Database System has parent organization: European Bioinformatics Institute is parent organization of: Kinetic Simulation Algorithm Ontology |
BBSRC BB/F010516/1; NIGMS R01 GM070923 |
PMID:20587024 PMID:16381960 |
CC0, Public Domain Dedication, Cf. our terms of use. | nif-0000-02609 | http://www.ebi.ac.uk/biomodels/ | SCR_001993 | BioModels Database - A Database of Annotated Published Models, BioModels Database, BioModels | 2026-02-14 02:00:12 | 249 | ||||
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ASPGD Resource Report Resource Website 100+ mentions |
ASPGD (RRID:SCR_002047) | ASPGD, ASPGD LOCUS, ASPGD REF | data repository, storage service resource, data or information resource, service resource, database | Database of genetic and molecular biological information about the filamentous fungi of the genus Aspergillus including information about genes and proteins of Aspergillus nidulans and Aspergillus fumigatus; descriptions and classifications of their biological roles, molecular functions, and subcellular localizations; gene, protein, and chromosome sequence information; tools for analysis and comparison of sequences; and links to literature information; as well as a multispecies comparative genomics browser tool (Sybil) for exploration of orthology and synteny across multiple sequenced Sgenus species. Also available are Gene Ontology (GO) and community resources. Based on the Candida Genome Database, the Aspergillus Genome Database is a resource for genomic sequence data and gene and protein information for Aspergilli. Among its many species, the genus contains an excellent model organism (A. nidulans, or its teleomorph Emericella nidulans), an important pathogen of the immunocompromised (A. fumigatus), an agriculturally important toxin producer (A. flavus), and two species used in industrial processes (A. niger and A. oryzae). Search options allow you to: *Search AspGD database using keywords. *Find chromosomal features that match specific properties or annotations. *Find AspGD web pages using keywords located on the page. *Find information on one gene from many databases. *Search for keywords related to a phenotype (e.g., conidiation), an allele (such as veA1), or an experimental condition (e.g., light). Analysis and Tools allow you to: *Find similarities between a sequence of interest and Aspergillus DNA or protein sequences. *Display and analyze an Aspergillus sequence (or other sequence) in many ways. *Navigate the chromosomes set. View nucleotide and protein sequence. *Find short DNA/protein sequence matches in Aspergillus. *Design sequencing and PCR primers for Aspergillus or other input sequences. *Display the restriction map for a Aspergillus or other input sequence. *Find similarities between a sequence of interest and fungal nucleotide or protein sequences. AspGD welcomes data submissions. | function, gene, gene name, annotation, aspergillus, aspergillus nidulans, chromosome, community, dna, genome, genomic, localization, orthology, phenotype, protein, protein-coding genes, s. cerevisiae, sequence, allele, data analysis service, bio.tools, FASEB list |
is used by: NIF Data Federation is listed by: bio.tools is listed by: Debian is related to: Candida Genome Database is related to: AmiGO has parent organization: Stanford University School of Medicine; California; USA has parent organization: Broad Institute |
NIAID R01 AI077599 | PMID:19773420 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-12244, biotools:aspgd | http://www.aspergillusgenome.org/ https://bio.tools/aspgd |
SCR_002047 | Aspergillus Genome Database, ASPGD REF, ASPGD LOCUS | 2026-02-14 02:00:17 | 212 | ||||
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Wellcome Trust Case Control Consortium Resource Report Resource Website 100+ mentions |
Wellcome Trust Case Control Consortium (RRID:SCR_001973) | WTCCC | data or information resource | Consortium of 50 research groups across the UK to harness the power of newly-available genotyping technologies to improve our understanding of the aetiological basis of several major causes of global disease. The consortium has gathered genotype data for up to 500,000 sites of genome sequence variation (single nucleotide polymorphisms or SNPs) in samples ascertained for the disease phenotypes. Analysis of the genome-wide association data generated has lead to the identification of many SNPs and genes showing evidence of association with disease susceptibility, some of which will be followed up in future studies. In addition, the Consortium has gained important insights into the technical, analytical, methodological and biological aspects of genome-wide association analysis. The core of the study comprised an analysis of 2,000 samples from each of seven diseases (type 1 diabetes, type 2 diabetes, coronary heart disease, hypertension, bipolar disorder, rheumatoid arthritis and Crohn's disease). For each disease, the case samples have been ascertained from sites widely distributed across Great Britain, allowing us to obtain considerable efficiencies by comparing each of these case populations to a common set of 3,000 nationally-ascertained controls also from England, Scotland and Wales. These controls come from two sources: 1,500 are representative samples from the 1958 British Birth Cohort and 1,500 are blood donors recruited by the three national UK Blood Services. One of the questions that the WTCCC study has addressed relates to the relative merits of these alternative strategies for the generation of representative population cohorts. Genotyping for this main Case Control study was conducted by Affymetrix using the (commercial) Affymetrix 500K chip. As part of this study a total of 17,000 samples were typed for 500,000 SNPs. There are two additional components to the study. First, the WTCCC award is part-funding a study of host resistance to infectious diseases in African populations. The same approach has been used to type 2,000 cases of tuberculosis (TB) and 2,000 cases of malaria, as well as 2,000 shared controls. As well as addressing diseases of major global significance, and extending WTCCC coverage into the area of infectious disease, the inclusion of samples of African origin has obvious benefits with respect to methodological aspects of genome-wide association analysis. Second, the WTCCC has, for four additional diseases (autoimmune thyroid disease, breast cancer, ankylosing spondylitis, multiple sclerosis), completed an analysis of 15,000 SNPs designed to represent a large proportion of the known non-synonymous coding SNPs across the genome. This analysis has been performed at the WTSI using a custom Infinium chip (Illumina). Data release The genotypic data of the control samples (1958 British Birth Cohort and UK Blood Service) and from seven diseases analyzed in the main study are now available to qualified researchers. Summary genotype statistics for these collections are available directly from the website. Access to the individual-level genotype data and summary genotype statistics is by application to the Consortium Data Access Committee (CDAC) and approval subject to a Data Access Agreement. WTCCC2: A further round of GWA studies were funded in April 2008. These include 15 WTCCC-collaborative studies and 12 independent studies be supported totaling approximately 120,000 samples. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC2 will perform genome-wide association studies in 13 disease conditions: Ankylosing spondylitis, Barrett's oesophagus and oesophageal adenocarcinoma, glaucoma, ischaemic stroke, multiple sclerosis, pre-eclampsia, Parkinson's disease, psychosis endophenotypes, psoriasis, schizophrenia, ulcerative colitis and visceral leishmaniasis. WTCCC2 will also investigate the genetics of reading and mathematics abilities in children and the pharmacogenomics of statin response. Over 60,000 samples will be analyzed using either the Affymetrix v6.0 chip or the Illumina 660K chip. The WTCCC2 will also genotype 3,000 controls each from the 1958 British Birth cohort and the UK Blood Service control group, and the 6,000 controls will be genotyped on both the Affymetrix v6.0 and Illumina 1.2M chips. WTCCC3: The Wellcome Trust has provided support for a further round of GWA studies in January 2009. These include 5 WTCCC-collaborative studies to be carried out in WTCCC3 and 5 independent studies, across a range of diseases. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC3 will perform genome-wide association studies in the following 4 disease conditions: primary biliary cirrhosis, anorexia nervosa, pre-eclampsia in UK subjects, and the interactions between donor and recipient DNA related to early and late renal transplant dysfunction. The WTCCC3 will also carry out a pilot in a study of the genetics of host control of HIV-1 infection. Over 40,000 samples will be analyzed using the Illumina 660K chip. The WTCCC3 will utilize the 6,000 control genotypes generated by the WTCCC2. | gene, genomic, genetics, microarray, genome-wide association study, snp, genome-wide association, blood, dna, genotype, variation, genome, sequence variant, copy number variation, genetic variation, phenotype, disease |
is related to: Psychiatric Genomics Consortium has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Bipolar disorder, Coronary artery disease, Crohn's disease, Rheumatoid arthritis, Type 1 diabetes, Type 2 diabetes, Hypertension, Control, Multiple sclerosis, Breast cancer, Ankylosing spondylitis, Autoimmune thyroid disease, Malaria, Tuberculosis, Inflammatory bowel disease, Barrett's esophagus, Esophageal adenocarcinoma, Glaucoma, Ischemic stroke, Pre-eclampsia, Parkinson's disease, Psychosis endophenotypes, Psoriasis, Schizophrenia, Ulcerative colitis, Visceral leishmaniasis, Primary biliary cirrhosis, Anorexia nervosa, Human immunodeficiency virus, Renal transplant dysfunction, Diabetes | Wellcome Trust ; Bill and Melinda Gates Foundation ; Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
PMID:17554300 | Access to summary data and individual-level genotype data is available by application to the Wellcome Trust Case Control Consortium Data Access Committee. Access to data will be granted to qualified investigators for appropriate use. | nif-0000-10551 | SCR_001973 | Wellcome Trust Case-Control Consortium (WTCCC) | 2026-02-14 02:00:12 | 213 | ||||
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University of California at Los Angeles - Department of Energy Institute for Genomics and Proteomics Resource Report Resource Website 1+ mentions |
University of California at Los Angeles - Department of Energy Institute for Genomics and Proteomics (RRID:SCR_001921) | portal, data or information resource, organization portal, data computation service, database | The UCLA-DOE Institute for Genomics and Proteomics carries out research in bioenergy, structural biology, genomics and proteomics, consistent with the research mission of the United States Department of Energy. Major interests of the 12 Principal Investigators and 9 Associate Members include systems approaches to organisms, structural biology, bioinformatics, and bioenergetic systems. The Institute sponsors 5 Core Technology Centers, for X-ray and NMR structural determination, bioinformatics and computation, protein expression and purification, and biochemical instrumentation. Services offered by this Institute: - Databases: * DIP (The Database of Interacting Proteins): The DIPTM database catalogs experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions. * ProLinks Database of Functional Linkages: The Prolinks database is a collection of inference methods used to predict functional linkages between proteins. These methods include the Phylogenetic Profile method which uses the presence and absence of proteins across multiple genomes to detect functional linkages; the Gene Cluster method, which uses genome proximity to predict functional linkage; Rosetta Stone, which uses a gene fusion event in a second organism to infer functional relatedness; and the Gene Neighbor method, which uses both gene proximity and phylogenetic distribution to infer linkage. - Data-to-Structure Servers: * SAVEs Structure Verification Server * Merohedral Twinning Test Server * SER Surface Entropy Reduction Server * VERIFY3D Structure Verification Server * ERRAT Structure Verification Server - Structure-to-Function Servers: * ProKnow Protein Functionator * Hot Patch Functional Site Locator | expression, functional linkage, gene, biochemical instrumentation, bioenergetic system, bioenergy, bioinformatic, computation, genome, genomic, nmr, organism, protein, protein-protein interaction, proteomic, purification, structural biology, x-ray | nif-0000-10491 | SCR_001921 | UCLA-DOE | 2026-02-14 02:00:11 | 4 | ||||||||||
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REDfly Regulatory Element Database for Drosophilia Resource Report Resource Website 10+ mentions |
REDfly Regulatory Element Database for Drosophilia (RRID:SCR_006790) | REDfly | data repository, storage service resource, data or information resource, service resource, database | Curated collection of known Drosophila transcriptional cis-regulatory modules (CRMs) and transcription factor binding sites (TFBSs). Includes experimentally verified fly regulatory elements along with their DNA sequence, associated genes, and expression patterns they direct. Submission of experimentally verified cis-regulatory elements that are not included in REDfly database are welcome. | transcriptional cis-regulatory module, transcription factor binding site, dna sequence, gene, expression pattern, genome, gene expression, transcription factor, cis-regulatory module, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Drosophila anatomy and development ontologies is related to: FlyMine has parent organization: University at Buffalo; New York; USA |
NSF EF0843229; NIGMS U24 GM144232 |
PMID:20965965 PMID:18039705 PMID:16303794 |
Acknowledgement requested | OMICS_01870, biotools:redfly, nif-0000-03393 | https://bio.tools/redfly | SCR_006790 | Regulatory Element Database for Drosophilia, Regulatory Element Database | 2026-02-14 02:01:16 | 14 |
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