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http://signal.salk.edu/cgi-bin/RiceGE
Gene database for Japonica rice. RiceGE is associated with SIGnAL at the Salk Institute.
Proper citation: RiceGE (RRID:SCR_015061) Copy
Twin registry to studying causes of cancer, gene inheritance and environment. Contains information on twins born in Denmark. Comprises twins born through more than 125 years.
Proper citation: Danish Twin Registry (RRID:SCR_017482) Copy
http://epifactors.autosome.ru/
Manually curated collection of human epigenetic factors, their complexes, corresponding genes and products.
Proper citation: EpiFactors (RRID:SCR_016956) Copy
Interactive database of miRNA targets and miRNA-regulated gene networks to integrate expression data from hundreds of cellular and tissue conditions. Website includes CoMeTa corank lists and additional targets for all of human miRNAs, their associated pathways resulting from COOL analysis, and miRNA communities with their corresponding enriched functional categories. Website is searchable by miRNA, target gene, or biological function of interest, and represents unique resource to gain insight into miRNA-controlled gene networks and functions.
Proper citation: CoMeTa Website (RRID:SCR_017357) Copy
http://hb.flatironinstitute.org/
Formerly known as GIANT (Genome-scale Integrated Analysis of gene Networks in Tissues), HumanBase applies machine learning algorithms to learn biological associations from massive genomic data collections. These integrative analyses reach beyond existing "biological knowledge" represented in the literature to identify novel, data-driven associations.
Proper citation: HumanBase (RRID:SCR_016145) Copy
Genome wide database of gene expression in mouse brain. Genome-wide atlas of gene expression in the adult mouse brain.
Proper citation: ABA Mouse Brain: Atlas (RRID:SCR_017479) Copy
Semi-automated and manually curated database of gene/variant annotations, therapy knowledge, diagnostic/prognostic information, and oncology clinical trials. Users can search CKB via gene, gene variants, drug, drug class, indication, and clinical trials.
Proper citation: Jackson Laboratory Clinical Knowledgebase (RRID:SCR_014965) Copy
http://diabetes.wisc.edu/index.php
Interactive database of gene expression and diabetes related clinical phenotypes. Allows to search gene expression in tissues as a function of obesity, strain, and age, in a mouse.
Proper citation: Attie Lab Diabetes Database (RRID:SCR_016639) Copy
http://software.broadinstitute.org/gsea/msigdb/index.jsp
Collection of annotated gene sets for use with Gene Set Enrichment Analysis (GSEA) software.
Proper citation: Molecular Signatures Database (RRID:SCR_016863) Copy
http://www.informatics.jax.org/humanDisease.shtml
Collection of published and potential mouse models of human disease, discovery of candidate genes and investigation of phenotypic similarity between mouse models and human patients. Mouse mutation, and phenotype and disease model data from Mouse Genome Informatics database are integrated with human gene to disease relationships from the National Center for Biotechnology Information and Online Mendelian Inheritance in Man and human disease to phenotype relationships from the Human Phenotype Ontology.
Proper citation: Human Mouse Disease Connection (RRID:SCR_017522) Copy
Database provides information on research status of gene related diseases, gene expression in different tissues, regulatory relationship among genes, information of diseases, mRNA, Transcription Fctor, miRNA and other information shared among genes.
Proper citation: GCBI database (RRID:SCR_018971) Copy
https://hive.biochemistry.gwu.edu/dna.cgi?cmd=tissue_codon_usage&id=586358&mode=cocoputs
Database includes genomic codon-pair and dinucleotide statistics of all organisms with sequenced genome. Facilitates genetic variation analyses and recombinant gene design. Derived from all available GenBank and RefSeq data.
Proper citation: Codon and Codon-Pair Usage Tables (RRID:SCR_018504) Copy
http://www.broadinstitute.org/pubs/MitoCarta/
Collection of genes encoding proteins with strong support of mitochondrial localization. Inventory of genes encoding mitochondrial-localized proteins and their expression across 14 mouse tissues. Database is based on human and mouse RefSeq proteins that are mapped to NCBI Gene loci. MitoCarta 2.0 inventory provides molecular framework for system-level analysis of mammalian mitochondria.
Proper citation: MitoCarta (RRID:SCR_018165) Copy
Web tool to explore and visualize Antibiotic Resistance Genes found on Tara Oceans samples. Can be explored by individual ARG or grouped by antibiotic class.
Proper citation: ResistomeDB (RRID:SCR_018305) Copy
http://www.ms-research.dk/genetics.htm
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. We have collected DNA for more than 15 years, and today we have DNA from more than 1,800 Danish MS patients and 1,200 controls, all kept in the Danish Multiple Sclerosis Biobank in DMSC. In order to increase the sample size for genetic testing, we have participated in the Nordic MS Genetic Network since 1994, and today the Nordic material consists of more than 6,000 MS cases and 6,000 controls. The research in DMSC is focused on the candidate gene approaches and the genetic influence on the differences in treatment response. We are part of the IMSGC (International Multiple Sclerosis Genetic Consortium) and the Wellcome Trust Case Control Consortium (WTCCC), where 23 research groups from 15 countries are performing the largest set of MS genome-wide association study (GWAS), genotyping 11,000 cases and 11,000 controls using 500,000 SNP chip. Primary results have elucidated associations to more than 100 gene variations (SNPs). Following this collaboration we are joining the Immunochip Consortium, where 1,000 Danish cases and 1,000 Danish controls participate in a large scale genetic analysis, investigating best genes/regions/SNPs in MS together with other international MS research groups and 9 other autoimmune diseases research groups, looking for shared autoimmune genes. The risk of MS has been increasing over the last 50 years, especially among women older than 40 years. On this background we have initiated a project looking at aspects of gender differences, including different treatment responses. Furthermore, we have initiated a large-scale vitamin D project, investigating gene variations within the vitamin D pathway, and the importance of vitamin D in clinical and immunological disease activity. In addition, we have collected more than 800 questionnaires from MS patients dealing in detail with lifestyle and environmental exposure for a project studying gene-environmental interactions.
Proper citation: Danish Multiple Sclerosis Biobank (RRID:SCR_000089) Copy
https://biobank.partners.org/for-researchers
Blood biobank for the Partners research program, which investigates the affects of genes, lifestyle and environment on human health.
Proper citation: Partners HealthCare Biobank (RRID:SCR_001316) Copy
http://harvard.eagle-i.net/i/0000012e-6dc5-7b04-55da-381e80000000
A lab facility that provides viral vectors with custom-designed promoters and reporter genes and capacity for gene regulation. Services include DNA packaging and purification and titering and allocation of viral vectors.
Proper citation: MGH Vector Development and Production Core Facility (RRID:SCR_000886) Copy
http://ccr.coriell.org/Sections/Collections/ADA/?SsId=12
The purpose of the American Diabetes Association (ADA), GENNID Study (Genetics of non-insulin dependent diabetes mellitus, NIDDM) is to establish a national database and cell repository consisting of information and genetic material from families with well-documented NIDDM. The GENNID Study will provide investigators with the information and samples necessary to conduct genetic linkage studies and locate the genes for NIDDM. Non-Hispanic white, Hispanic, African-American, and Japanese-American multiplex NIDDM families, with a minimum of one affected sib-pair, are being collected by the eight Harold Rifkin Family Acquisition Centers. Detailed family and medical histories are obtained from all participants. Family members with diabetes have fasting blood samples drawn, while nondiabetic family members have an oral glucose tolerance test and, when possible, insulin sensitivity and insulin secretion measurements by frequently sampled intravenous glucose tolerance testing or euglycemic insulin clamp. Lymphoblastoid cell lines are established for all participants. DNA samples and extensive phenotypic data are available from the American Diabetes Association's GENNID study (Genetics of NIDDM). GENNID has collected detailed family histories and a broad array of data on 170 large pedigrees, all of which contain at least one affected sib pair, with a total of 650 affected individuals and approximately 1,200 total subjects. Included are approximately 65 Caucasian, 60 Hispanic, 25 African American, and 20 Japanese American pedigrees. In addition, GENNID also contains DNA and data on 1,000 additional affected sib pairs in each of three groups, African American, Caucasian, and Hispanic. DNA and phenotypic data, including race, gender and age, are available for all members of the pedigrees. The data set includes multiple metabolic factors, including carbohydrate metabolism, lipid metabolism, and body size measures, as well as lifestyle variables obtained by questionnaire (e.g., employment, exercise, etc.). The GENNID resource is ideally suited for genetic linkage and association studies as well as SNP discovery and typing. Investigators interested in obtaining the DNA samples and/or data will need to submit a proposal to the Association that addresses the genetics of type 2 diabetes.
Proper citation: ADA GENNID Study (RRID:SCR_000527) Copy
http://www.iba-lifesciences.com/home.html
A commercial company that provides a range of services from nucleic acid custom services to products and services for cloning, transfection, recombinant protein production and cell isolation.
Proper citation: IBA GmbH (RRID:SCR_001132) Copy
http://ki.se/ki/jsp/polopoly.jsp?d=29350&a=24030&l=en
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. Aims to investigate the relation between specific genetic variations, personality factors and pain experience in healthy subjects.
Proper citation: KI Biobank - PAIN (RRID:SCR_000610) Copy
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