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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Voxelation Map of Gene Expression in a Coronal Section of the Mouse Brain Resource Report Resource Website |
Voxelation Map of Gene Expression in a Coronal Section of the Mouse Brain (RRID:SCR_008065) | Voxelation Map of Gene Expression in a Coronal Section of the Mouse Brain | atlas, data or information resource, database | Two-dimensional images of gene expression for 20,000 genes in a coronal slice of the mouse brain at the level of the striatum by using microarrays in combination with voxelation at a resolution of 1 cubic mm gene expression patterns in the brain obtained through voxelation. Voxelation employs high-throughput analysis of spatially registered voxels (cubes) to produce multiple volumetric maps of gene expression analogous to the images reconstructed in biomedical imaging systems. | molecular neuroanatomy resource, gene expression, striatum, voxelation, gene, brain, coronal, microarray, adult mouse, male, c57bl/6j | has parent organization: David Geffen School of Medicine at UCLA; California; USA | Staglin Music Festival and NARSAD Young Investigator Award ; Tobacco-Related Disease Research Program 11RT-0172; Alzheimer's Association IIRG-02-3609; NIDA RO1-DA-015802; NINDS RO1-NS-050148 |
PMID:17504947 | nif-0000-10493 | SCR_008065 | 2026-09-12 01:01:57 | 0 | |||||||
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Integrated Tumor Transcriptome Array and Clinical data Analysis Resource Report Resource Website 1+ mentions |
Integrated Tumor Transcriptome Array and Clinical data Analysis (RRID:SCR_008182) | ITTACA | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on 6/12/25. ITTACA is a database created for Integrated Tumor Transcriptome Array and Clinical data Analysis. ITTACA centralizes public datasets containing both gene expression and clinical data and currently focuses on the types of cancer that are of particular interest to the Institut Curie: breast carcinoma, bladder carcinoma, and uveal melanoma. ITTACA is developed by the Institut Curie Bioinformatics group and the Molecular Oncology group of UMR144 CNRS/Institut Curie. A web interface allows users to carry out different class comparison analyses, including comparison of expression distribution profiles, tests for differential expression, patient survival analyses, and users can define their own patient groups according to clinical data or gene expression levels. The different functionalities implemented in ITTACA are: - To test if one or more gene, of your choice, is differentially expressed between two groups of samples exhibiting distinct phenotypes (Student and Wilcoxon tests). - The detection of genes differentially expressed (Significance Analysis of Microarrays) between two groups of samples. - The creation of histograms which represent the expression level according to a clinical parameter for each sample. - The computation of Kaplan Meier survival curves for each group. ITTACA has been developed to be a useful tool for comparing personal results to the existing results in the field of transcriptome studies with microarrays. | expression, gene, analysis, array, bioinformatics, bladder, breast, cancer, carcinoma, clinical, integrated, melanoma, microarray, molecular, oncology, patient, phenotype, survival, transcriptome, tumor, uveal | has parent organization: Curie Institute; Paris; France | PMID:16381943 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21227 | SCR_008182 | ITTACA | 2026-09-12 01:01:58 | 4 | ||||||
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Peroxisome Database Resource Report Resource Website 10+ mentions |
Peroxisome Database (RRID:SCR_008352) | data or information resource, database | The aim of the PEROXISOME database (PeroxisomeDB) is to gather, organize and integrate curated information on peroxisomal genes, their encoded proteins, their molecular function and metabolic pathway they belong to, and their related disorders. PeroxisomeDB contains the complete peroxisomal proteome of Homo sapiens (encoded by 85 genes) and Saccharomyces cerevisiae (encoded by 61 genes). Now, we have included 34 new organism genomes with the acquisition of 2426 new peroxisomal homolog proteins. PeroxisomeDB 2.0 integrates the peroxisomal metabolome of whole microbody family by the new incorporation of the glycosome proteomes of trypanosomatids and the glyoxysome proteome of Arabidopsis thaliana. The site also provides a Peroxisome Metabolome of peroxisomal genes and proteins, their molecular interactions and metabolic pathways, tools for comparative genomics, predictive tools. Sponsors: Preoxisome Database is funded by Institut de Gntique et deBiologie Molculaire et Cellulaire. | family, function, gene, arabidopsis thaliana, disorder, genome, genomic, glycosome, glyoxysome, homolog, homo sapiens, interaction, metabolic, metabolome, microbody, molecular, organism, pathway, peroxisome, protein, proteome, saccharomyces cerevisiae, trypanosomatid | nif-0000-25216 | SCR_008352 | Preoxisomedb | 2026-09-12 01:01:59 | 31 | ||||||||||
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Structure modeling of 907 G protein coupled receptors in the human genome Resource Report Resource Website 1+ mentions |
Structure modeling of 907 G protein coupled receptors in the human genome (RRID:SCR_008351) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 19,2019.Database of tertiary structural modeling results of threading assembly refinement (TASSER) method for all 907 G protein-coupled receptors (GPCRs) in human genome. All sequences were collected from GPCR database http://www.gpcr.org/7tm/ and http://www.expasy.org/cgi-bin/lists?7tmrlist.txt. Unlike traditional homology modeling approaches, TASSER modeling does not require solved homologous template structures; moreover, it often refines the structures closer to native. G protein-coupled receptors (GPCRs), encoded by about 5% of human genes, comprise the largest family of integral membrane proteins and act as cell surface receptors responsible for the transduction of endogenous signal into a cellular response. Although tertiary structural information is crucial for function annotation and drug design, there are few experimentally determined GPCR structures. To address this issue, we employ the recently developed threading assembly refinement (TASSER) method to generate structure predictions for all 907 putative GPCRs in the human genome. Unlike traditional homology modeling approaches, TASSER modeling does not require solved homologous template structures; moreover, it often refines the structures closer to native. These features are essential for the comprehensive modeling of all human GPCRs when close homologous templates are absent. Based on a benchmarked confidence score, approximately 820 predicted models should have the correct folds. The majority of GPCR models share the characteristic seven-transmembrane helix topology, but 45 ORFs are predicted to have different structures. This is due to GPCR fragments that are predominantly from extracellular or intracellular domains as well as database annotation errors. Our preliminary validation includes the automated modeling of bovine rhodopsin, the only solved GPCR in the Protein Data Bank. With homologous templates excluded, the final model built by TASSER has a global C(alpha) root-mean-squared deviation from native of 4.6 angstroms, with a root-mean-squared deviation in the transmembrane helix region of 2.1 angstroms. Models of several representative GPCRs are compared with mutagenesis and affinity labeling data, and consistent agreement is demonstrated. Structure clustering of the predicted models shows that GPCRs with similar structures tend to belong to a similar functional class even when their sequences are diverse. These results demonstrate the usefulness and robustness of the in silico models for GPCR functional analysis. Sponsors: GPCR is funded by the University at Buffalo, Buffalo, New York. | endogenous, extracellular, family, functional, gene, cellular, couple, genome, gpcr, g protein, helix, homology, human, membrane, model, modeling, orf, protein, receptor, response, signal, structural, structural model, structure, template, tertiary, topology, transduction, transmembrane | has parent organization: Georgia Institute of Technology; Georgia; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-25215 | SCR_008351 | GPCR | 2026-09-12 01:01:59 | 3 | ||||||||
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Metagenomics Program at JGI Resource Report Resource Website 1+ mentions |
Metagenomics Program at JGI (RRID:SCR_008804) | JGI Metagenomics Program | data or information resource, database | Portal providing access to metagenomics projects, data and tools supported by the DOE Joint Genome Institute (JGI). A primary motivation for metagenomics is that most microbes found in nature exist in complex, interdependent communities and cannot readily be grown in isolation in the laboratory. One can, however, isolate DNA or RNA from the community as a whole, and studies of such communities have revealed a diversity of microbes far beyond those found in culture collections. It is suspected that these uncultivated organisms must harbor considerable as-yet undiscovered genomic, functional, and metabolic features and capabilities. Thus to fully explore microbial genomics, it is imperative that we access the genomes of these elusive players. | genome, comparative analysis, metagenome, microbial, environment, terrestrial, aquatic, marine, freshwater, engineered, thermal spring, soil, host-associated, sequence, gene |
is listed by: 3DVC has parent organization: DOE Joint Genome Institute |
DOE | nlx_144368 | SCR_008804 | 2026-09-12 01:02:01 | 1 | ||||||||
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Brain and Body Genetic Resource Exchange Resource Report Resource Website 1+ mentions |
Brain and Body Genetic Resource Exchange (RRID:SCR_008959) | BB-GRE | data or information resource, database | A database and associated tools for investigating the genetic basis of neurodisability. It combines phenotype information from patients with neurodevelopmental and behavioral problems with clinical genetic data, and displays this information on the human genome map. Basic access to genetic information (deletions, duplications) relating to participants with neurodevelopmental disorders is provided without an account; access to the full dataset requires an account. The genetic information that is available to view comprises potentially pathogenic copy number variation across the genome, detected by array comparative genome hybridization (aCGH) using a customized 44K oligonucleotide array. | developmental disorder, copy number, neurodevelopmental disorder, child, phenotype, genotype-phenotype, brain, genetic, gene, genotype, behavior, clinical, genome, neurodevelopment, behavioral disorder, genetic variant, development | has parent organization: King's College London; London; United Kingdom | Schizophrenia, Mental retardation, Attention deficit hyperactivity disorder, Developmental language delay, Dyslexia, Sleep disorder, Epilepsy, Dysmorphism, Neurodisability, Autism | Acknowledgement required | nlx_151987 | http://bbgre-dev.iop.kcl.ac.uk/info/about-us | SCR_008959 | BBGRE.org, Brain & Body Genetic Resource Exchange, BB-GRE database | 2026-09-12 01:02:02 | 1 | |||||
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hiPathDB - human integrated Pathway DB with facile visualization Resource Report Resource Website 1+ mentions |
hiPathDB - human integrated Pathway DB with facile visualization (RRID:SCR_008900) | hiPathDB | data or information resource, database | hiPathDB is an integrated pathway database that combines the curated human pathway data of NCI-Nature PID, Reactome, BioCarta and KEGG. In total, it includes 1661 pathways consisting of 8976 distinct physical entities. (2010.03.09) hiPathDB provides two different types of integration. The pathway-level integration, conceptually a simple collection of individual pathways, was achieved by devising an elaborate model that takes distinct features of four databases into account and subsequently reformatting all pathways in accordance with our model. The entity-level integration creates a single unified pathway that encompasses all pathways by merging common components. Even though the detailed molecular-level information such as complex formation or post-translational modifications tends to be lost, such integration makes it possible to investigate signaling network over the entire pathways and allows identification of pathway cross-talks. Another strong merit of hiPathDB is the built-in pathway visualization module that supports explorative studies of complex networks in an interactive fashion. The layout algorithm is optimized for virtually automatic visualization of the pathways. | pathway, gene, compound, interaction, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: KEGG is related to: BioCarta Pathways is related to: Reactome is related to: Pathway Interaction Database has parent organization: Korea Research Institute of Bioscience and Biotechnology; Daejeon; South Korea |
Ewha Womans University; Seoul; Korea ; Korean Ministry of Education Science and Technology 2011-000232; Korean Ministry of Education Science and Technology 2011-0019745; Korean Ministry of Education Science and Technology R15-2006-020 |
PMID:22123737 | nlx_151413, biotools:hipathdb | https://bio.tools/hipathdb | SCR_008900 | Human Integrated Pathway Database | 2026-09-12 01:02:02 | 3 | |||||
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GFINDer: Genome Function INtegrated Discoverer Resource Report Resource Website 1+ mentions |
GFINDer: Genome Function INtegrated Discoverer (RRID:SCR_008868) | GFINDer | analysis service resource, data analysis service, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 16, 2019. Multi-database system providing large-scale lists of user-classified sequence identifiers with genome-scale biological information and functional profiles biologically characterizing the different gene classes in the list. GFINDer automatically retrieves updated annotations of several functional categories from different sources, identifies the categories enriched in each class of a user-classified gene list, and calculates statistical significance values for each category. Moreover, GFINDer enables to functionally classify genes according to mined functional categories and to statistically analyze the obtained classifications, aiding in better interpreting microarray experiment results. | annotation, statistical analysis, mining, genome, function, sequence, functional profile, gene, microarray, bio.tools |
is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: Polytechnic University of Milan; Milan; Italy |
PMID:15980570 PMID:15215397 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149256, biotools:gfinder | https://www.hsls.pitt.edu/obrc/index.php?page=URL1098209538, https://bio.tools/gfinder | SCR_008868 | Genome Function INtegrated Discoverer, Genome Function INtegrated Discoverer (GFINDer) | 2026-09-12 01:02:02 | 1 | |||||
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ATID: Alternative Translational Initiation Database Resource Report Resource Website |
ATID: Alternative Translational Initiation Database (RRID:SCR_009432) | ATID | data or information resource, database | A database of publicly available genes, alternatively translational isoforms and their detailed annotation. Alternative translational initiation is one of mechanisms to increase the complexity level of an organism by alternative gene expression pathways. The use of alternative translation initiation codons in a singe mRNA contributes to the generation of protein diversity. The genes produce two or more versions of the encoded proteins, and the shorter version, initiated from a downstream in-frame start codon, lacks the N-terminal amino acids fragment of the full-length isoform version. Since the first discovery of alternative translation initiation, a small, yet growing, number of mRNAs initiating translation from alternative start codons have been reported. Various studies began to emerge focusing on this new field in gene expression and revealed the biological significance of the use of alternative initiation. In response to the need for systematic studies on genes involving alternative translational initiation, Alternative Translational Initiation Database(ATID) is established to provide data of publicly available genes, alternatively translational isoforms and their detailed annotation. | alternative translational initiation, alternative start codons, gene |
is listed by: 3DVC has parent organization: Tsinghua University; Beijing; China |
PMID:16216831 | nlx_15496 | SCR_009432 | Alternative Translational Initiation Database | 2026-09-12 01:02:02 | 0 | |||||||
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GenAge Resource Report Resource Website 100+ mentions |
GenAge (RRID:SCR_010223) | GenAge | data or information resource, database | Collection of annotated and manually curated data of genes related to aging divided into genes related to longevity and/or aging in model organisms (yeast, worms, flies, mice, etc.) and aging related human genes. | collection, curated, data, gene, aging, longevity |
is used by: GEROprotectors has parent organization: Human Ageing Genomic Resources |
Aging | HAGR''s lisense | nlx_156768 | SCR_010223 | GenAge, GenAge Database of Ageing-Related Genes, The Ageing Gene Database, Gene Database | 2026-09-12 01:02:03 | 157 | ||||||
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Resource for Genetic Epidemiology Research on Adult Health and Aging Resource Report Resource Website 1+ mentions |
Resource for Genetic Epidemiology Research on Adult Health and Aging (RRID:SCR_010472) | GERA | data or information resource, database | Human genetics data from an immense (78,000) and ethnically diverse population available for secondary analysis to qualified researchers through the database of Genotypes and Phenotypes (dbGaP). It offers the opportunity to identify potential genetic risks and influences on a broad range of health conditions, particularly those related to aging. The GERA cohort is part of the Research Program on Genes, Environment, and Health (RPGEH), which includes more than 430,000 adult members of the Kaiser Permanente Northern California system. Data from this larger cohort include electronic medical records, behavioral and demographic information from surveys, and saliva samples from 200,000 participants obtained with informed consent for genomic and other analyses. The RPGEH database was made possible largely through early support from the Robert Wood Johnson Foundation to accelerate such health research. The genetic information in the GERA cohort translates into more than 55 billion bits of genetic data. Using newly developed techniques, the researchers conducted genome-wide scans to rapidly identify single nucleotide polymorphisms (SNPs) in the genomes of the people in the GERA cohort. These data will form the basis of genome-wide association studies (GWAS) that can look at hundreds of thousands to millions of SNPs at the same time. The RPGEH then combined the genetic data with information derived from Kaiser Permanente''s comprehensive longitudinal electronic medical records, as well as extensive survey data on participants'' health habits and backgrounds, providing researchers with an unparalleled research resource. As information is added to the Kaiser-UCSF database, the dbGaP database will also be updated. | genotype, phenotype, genome-wide association study, saliva, dna, male, female, health condition, electronic medical record, single nucleotide polymorphism, adult human, late adult human, gene, genome |
has parent organization: NCBI database of Genotypes and Phenotypes (dbGap) has parent organization: University of California at San Francisco; California; USA |
Aging, Cardiovascular disease, Osteoarthritis, Depressive Disorder, Insomnia, Eye disease, Cancer, Diabetes | NIMH ; NIH Office of the Director ; NIA AG036607 |
Application required, Non-commercial, Data Use Certification Agreement | nlx_157735 | SCR_010472 | Genetic Epidemiology Research on Aging | 2026-09-12 01:02:03 | 9 | |||||
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Genopolis Resource Report Resource Website 1+ mentions |
Genopolis (RRID:SCR_010975) | Genopolis | data or information resource, database, service resource | A microarray platform that uses the Illumina and Affymetrix GeneChip microarray technology for genome and transcriptome analyses and a web-based database that consists exclusively of high quality Affymetrix data from immunological experiments hosted by a public, non-profit consortium of three scientific public institutions aimed to develop, integrate and disseminate Functional Genomics. | functional genomics, gene expression, bioinformatics, cytogenetics, genotyping, real-time pcr, gene, immunology | is listed by: OMICtools | Public | OMICS_00866 | https://omictools.com/genopolis-tool | http://www.genopolis.it/ | SCR_010975 | 2026-09-12 01:02:06 | 2 | ||||||
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Genomicus Resource Report Resource Website 50+ mentions |
Genomicus (RRID:SCR_011791) | Genomicus | data or information resource, database | A genome browser that enables users to navigate in genomes in several dimensions: linearly along chromosome axes, transversaly across different species, and chronologicaly along evolutionary time. | genome, gene, synteny, browser, FASEB list | is listed by: OMICtools | PMID:23193262 | OMICS_00914 | SCR_011791 | 2026-09-12 01:02:06 | 57 | ||||||||
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HMMgene Resource Report Resource Website 10+ mentions |
HMMgene (RRID:SCR_011933) | HMMgene | analysis service resource, data analysis service, production service resource, service resource | Data analysis service for prediction of vertebrate and C. elegans genes. | gene |
is listed by: OMICtools has parent organization: CBS Prediction Servers |
OMICS_01488 | SCR_011933 | 2026-09-12 01:02:07 | 11 | |||||||||
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Mitelman Database of Chromosome Aberrations in Cancer Resource Report Resource Website 100+ mentions |
Mitelman Database of Chromosome Aberrations in Cancer (RRID:SCR_012877) | data or information resource, database | The web site includes genomic data for humans and mice, including transcript sequence, gene expression patterns, single-nucleotide polymorphisms, clone resources, and cytogenetic information. Descriptions of the methods and reagents used in deriving the CGAP datasets are also provided. An extensive suite of informatics tools facilitates queries and analysis of the CGAP data by the community. One of the newest features of the CGAP web site is an electronic version of the Mitelman Database of Chromosome Aberrations in Cancer. The data in the Mitelman Database is manually culled from the literature and subsequently organized into three distinct sub-databases, as follows: -The sub-database of cases contains the data that relates chromosomal aberrations to specific tumor characteristics in individual patient cases. It can be searched using either the Cases Quick Searcher or the Cases Full Searcher. -The sub-database of molecular biology and clinical associations contains no data from individual patient cases. Instead, the data is pulled from studies with distinct information about: -Molecular biology associations that relate chromosomal aberrations and tumor histologies to genomic sequence data, typically genes rearranged as a consequence of structural chromosome changes. -Clinical associations that relate chromosomal aberrations and/or gene rearrangements and tumor histologies to clinical variables, such as prognosis, tumor grade, and patient characteristics. It can be searched using the Molecular Biology and Clinical (MBC) Associations Searcher -The reference sub-database contains all the references culled from the literature i.e., the sum of the references from the cases and the molecular biology and clinical associations. It can be searched using the Reference Searcher. CGAP has developed six web search tools to help you analyze the information within the Mitelman Database: -The Cases Quick Searcher allows you to query the individual patient cases using the four major fields: aberration, breakpoint, morphology, and topography. -The Cases Full Searcher permits a more detailed search of the same individual patient cases as above, by including more cytogenetic field choices and adding search fields for patient characteristics and references. -The Molecular Biology Associations Searcher does not search any of the individual patient cases. It searches studies pertaining to gene rearrangements as a consequence of cytogenetic aberrations. -The Clinical Associations Searcher does not search any of the individual patient cases. It searches studies pertaining to clinical associations of cytogenetic aberrations and/or gene rearrangements. -The Recurrent Chromosome Aberrations Searcher provides a way to search for structural and numerical abnormalities that are recurrent, i.e., present in two or more cases with the same morphology and topography. -The Reference Searcher queries only the references themselves, i.e., the references from the individual cases and the molecular biology and clinical associations. Sponsors: This database is sponsored by the University of Lund, Sweden and have support from the Swedish Cancer Society and the Swedish Children''s Cancer Foundation | expression, gene, aberration, abnormality, biology, breakpoint, cancer, cancer databases, characteristic, chromosomal, chromosome, clinical, clone, cytogenetic, genomic, grade, hisotology, human, mice, molecular, morphology, nucleotide, patient, pattern, polymorphism, prognosis, reagent, rearrangement, sequence, single, structural, topography, transcript, tumor, FASEB list | nif-0000-21268 | SCR_012877 | Mitelman Database | 2026-09-12 01:02:08 | 116 | ||||||||||
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GARNET Resource Report Resource Website 10+ mentions |
GARNET (RRID:SCR_012033) | GARNET | analysis service resource, data analysis service, production service resource, service resource | An integrative platform for diverse types of gene set analysis with annotation network navigation. It includes tools for statistical analysis, visualization of annotation relationships, retrieval of genes from annotation database, and set operation for gene sets. In an effort to allow access to a full spectrum of amassed biological knowledge, they have integrated a variety of annotation data that include the GO, domain, disease, drug, chromosomal location, and custom-defined annotations. Diverse types of molecular networks (pathways, transcription and microRNA regulations, protein-protein interaction) are also included. The pair-wise relationship between annotation gene sets was calculated using kappa statistics. GARNET consists of three modules--gene set manager, gene set analysis and gene set retrieval, which are tightly integrated to provide virtually automatic analysis for gene sets. A dedicated viewer for annotation network has been developed to facilitate exploration of the related annotations. | statistical analysis, visualization, annotation, gene |
is listed by: OMICtools has parent organization: Ewha Womans University; Seoul; South Korea |
PMID:21342555 | OMICS_02224 | http://ercsb.ewha.ac.kr/garnet/ | http://ercsb.ewha.ac.kr:8080/GSEAWebApp/index.jsp, http://garnet.isysbio.org/ | SCR_012033 | Gene Annotation Relationship NEtwork Tools | 2026-09-12 01:02:07 | 20 | |||||
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Mouse Genome Database Resource Report Resource Website 500+ mentions |
Mouse Genome Database (RRID:SCR_012953) | MGD | data or information resource, database | Community model organism database for laboratory mouse and authoritative source for phenotype and functional annotations of mouse genes. MGD includes complete catalog of mouse genes and genome features with integrated access to genetic, genomic and phenotypic information, all serving to further the use of the mouse as a model system for studying human biology and disease. MGD is a major component of the Mouse Genome Informatics.Contains standardized descriptions of mouse phenotypes, associations between mouse models and human genetic diseases, extensive integration of DNA and protein sequence data, normalized representation of genome and genome variant information. Data are obtained and integrated via manual curation of the biomedical literature, direct contributions from individual investigators and downloads from major informatics resource centers. MGD collaborates with the bioinformatics community on the development and use of biomedical ontologies such as the Gene Ontology (GO) and the Mammalian Phenotype (MP) Ontology. | gene, genome, genetic, chromosome, clone, cytogenetic, dna, genomic, inbred, mammalian, mouse, mutant, ortholog, phenotype, primer, protein, reagent, sequence, strain, bio.tools |
is used by: DisGeNET is listed by: Debian is listed by: bio.tools is related to: Mouse Genome Informatics (MGI) has parent organization: Jackson Laboratory |
NHGRI HG000330 | PMID:21051359 | biotools:mgi, biotools:mgd, nif-0000-10301 | http://www.informatics.jax.org/mgihome/projects/overview.shtml, https://bio.tools/mgd, https://bio.tools/mgi | SCR_012953 | Mouse Genome Informatics: Mouse Genome Database, MGID, Mouse Genome Informatics Database | 2026-09-12 01:02:09 | 545 | |||||
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Genetic Association Database Resource Report Resource Website 100+ mentions |
Genetic Association Database (RRID:SCR_013264) | data or information resource, database | The Genetic Association Database is an archive of human genetic association studies of complex diseases and disorders. The goal of this database is to allow the user to rapidly identify medically relevant polymorphism from the large volume of polymorphism and mutational data, in the context of standardized nomenclature. The data is from published scientific papers. Study data is recorded in the context of official human gene nomenclature with additional molecular reference numbers and links. It is gene centered. That is, each record is a record of a gene or marker. If a study investigated 6 genes for a particular disorder, there will be 6 records. Anyone may view this database and anyone may submit records. You do not have to be an author on the original study to submit a record. All submitted records will be reviewed before inclusion in the archive. Both genetic and environmental factors contribute to human diseases. Most common diseases are influenced by a large number of genetic and environmental factors, most of which individually have only a modest effect on the disease. Though genetic contributions are relatively well characterized for some monogenetic diseases, there has been no effort at curating the extensive list of environmental etiological factors. From a comprehensive search of the MeSH annotation of MEDLINE articles, they identified 3,342 environmental etiological factors associated with 3,159 diseases. They also identified 1,100 genes associated with 1,034 complex diseases from the NIH Genetic Association Database (GAD), a database of genetic association studies. 863 diseases have both genetic and environmental etiological factors available. Integrating genetic and environmental factors results in the etiome, which they define as the comprehensive compendium of disease etiology. | environmental, etiological, etiology, factor, gene, general human genetics databases, genetic, association, complex, disease, disorder, human, medically, molecular, monogenetic, mutational, nomenclature, polymorphism, scientific, FASEB list |
is used by: DisGeNET is related to: KOBAS has parent organization: National Institute on Aging |
Aging | nif-0000-21163 | SCR_013264 | GAD | 2026-09-12 01:02:10 | 170 | ||||||||
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IBA GmbH Resource Report Resource Website 1+ mentions |
IBA GmbH (RRID:SCR_001132) | biomaterial supply resource, material resource | 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. | nucleic acid, antibody, cloning, gene, genomics, research, biomaterial supply resource | nlx_152379 | SCR_001132 | 2026-09-12 01:02:25 | 2 | |||||||||||
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LAMBDAA Resource Report Resource Website |
LAMBDAA (RRID:SCR_001128) | LAMBDAA | software application, software resource | Software application (entry from Genetic Analysis Software) | gene, genetic, genomic | is listed by: Genetic Analysis Software | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154421 | SCR_001128 | 2026-09-12 01:02:25 | 0 |
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