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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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NCBI BioSystems Database Resource Report Resource Website 100+ mentions |
NCBI BioSystems Database (RRID:SCR_004690) | BioSystems | data analysis service, analysis service resource, storage service resource, production service resource, service resource, data repository, database, data or information resource | Database that provides access to biological systems and their component genes, proteins, and small molecules, as well as literature describing those biosystems and other related data throughout Entrez. A biosystem, or biological system, is a group of molecules that interact directly or indirectly, where the grouping is relevant to the characterization of living matter. BioSystem records list and categorize components, such as the genes, proteins, and small molecules involved in a biological system. The companion FLink tool, in turn, allows you to input a list of proteins, genes, or small molecules and retrieve a ranked list of biosystems. A number of databases provide diagrams showing the components and products of biological pathways along with corresponding annotations and links to literature. This database was developed as a complementary project to (1) serve as a centralized repository of data; (2) connect the biosystem records with associated literature, molecular, and chemical data throughout the Entrez system; and (3) facilitate computation on biosystems data. The NCBI BioSystems Database currently contains records from several source databases: KEGG, BioCyc (including its Tier 1 EcoCyc and MetaCyc databases, and its Tier 2 databases), Reactome, the National Cancer Institute's Pathway Interaction Database, WikiPathways, and Gene Ontology (GO). It includes several types of records such as pathways, structural complexes, and functional sets, and is desiged to accomodate other record types, such as diseases, as data become available. Through these collaborations, the BioSystems database facilitates access to, and provides the ability to compute on, a wide range of biosystems data. If you are interested in depositing data into the BioSystems database, please contact them. | pathway, disease, gene, protein, small molecule, literature, computation, image, biomarker, drug, structural complex, functional set, biological system, molecule, gold standard, bio.tools |
is listed by: re3data.org is listed by: Debian is listed by: bio.tools is related to: KEGG is related to: NCBI Structure is related to: BioCyc is related to: EcoCyc is related to: MetaCyc is related to: Reactome is related to: Pathway Interaction Database is related to: WikiPathways is related to: Gene Ontology has parent organization: NCBI |
NIH | PMID:19854944 | r3d100011033, biotools:biosystems, nlx_69646 | https://bio.tools/biosystems, https://doi.org/10.17616/R31K80 | SCR_004690 | BioSystems Database, NCBI BioSystems | 2026-08-04 09:41:11 | 118 | |||||
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QuickGO Resource Report Resource Website 500+ mentions |
QuickGO (RRID:SCR_004608) | QuickGO | web service, software resource, controlled vocabulary, data access protocol, ontology, database, data or information resource | A web-based browser for Gene Ontology terms and annotations, which is provided by the UniProtKB-GOA group at the EBI. It is able to offer a range of facilities including bulk downloads of GO annotation data which can be extensively filtered by a range of different parameters and GO slim set generation. The software for QuickGO is freely available under the Apache 2 license. QuickGO can supply GO term information and GO annotation data via REST web services. | gene, ontology, annotation, browser, visualization, search engine, slimmer-type tool, ontology or annotation browser, ontology or annotation search engine, ontology or annotation visualization, database or data warehouse, windows, mac os x, linux, unix, gold standard, bio.tools |
is listed by: OMICtools is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: STRAP has parent organization: European Bioinformatics Institute |
BBSRC BB/E023541/1 | PMID:19744993 PMID:20157483 |
Apache License, v2, Free for academic use | biotools:quickgo, nlx_60318, OMICS_02276 | https://bio.tools/quickgo | SCR_004608 | Quick GO | 2026-08-04 09:41:10 | 523 | ||||
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OpenFlyData.org Resource Report Resource Website |
OpenFlyData.org (RRID:SCR_004807) | OpenFlyData.org | image collection, web service, software resource, data access protocol, database, data or information resource | A cross-database search service for Drosophila gene expression data, including microarray data from FlyAtlas and in situ images from BDGP and Fly-TED. The applications provide different ways to search for and compare gene expression data for the fruit fly Drosophila melanogaster. You may Search Gene Expression Data by Gene, Gene Batch, and by Tissue Expression Profile. A number of Web services (SPARQL endpoints) are provided from this site which may be queried programmatically for data. | microarray, in situ, gene expression, gene, open fly data, openflydata, openflydata, expression, in situ hybridization |
is related to: FlyAtlas: the Drosophila gene expression atlas is related to: Berkeley Drosophila Genome Project has parent organization: FlyWeb Project |
JISC | PMID:20382263 | nlx_79461 | SCR_004807 | open fly data, OpenFlyData, openflydata | 2026-08-04 09:41:13 | 0 | ||||||
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Gene Map Annotator and Pathway Profiler Resource Report Resource Website 100+ mentions |
Gene Map Annotator and Pathway Profiler (RRID:SCR_005094) | data processing software, software application, data visualization software, software resource | GenMAPP is a free computer application designed to visualize gene expression and other genomic data on maps representing biological pathways and groupings of genes. Integrated with GenMAPP are programs to perform a global analysis of gene expression or genomic data in the context of hundreds of pathway MAPPs and thousands of Gene Ontology Terms (MAPPFinder), import lists of genes/proteins to build new MAPPs (MAPPBuilder), and export archives of MAPPs and expression/genomic data to the web. The main features underlying GenMAPP are: *Draw pathways with easy to use graphics tools *Color genes on MAPP files based on user-imported genomic data *Query data against MAPPs and the GeneOntology Enhanced features include the simultaneous view of multiple color sets, expanded species-specific gene databases and custom database options. | expression, gene, analysis, biological, mapping, microarray, network, pathway, protein, visualization, ontology, proteomics, FASEB list |
has parent organization: University of California at San Francisco; California; USA is parent organization of: MAPPFinder |
Agilent Foundation ; BayGenomics ; NIGMS |
PMID:17588266 | nif-0000-00244 | SCR_005094 | GenMAPP | 2026-08-04 09:41:17 | 211 | |||||||
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Ivy Glioblastoma Atlas Project Resource Report Resource Website 100+ mentions |
Ivy Glioblastoma Atlas Project (RRID:SCR_005044) | Ivy GAP | atlas, database, data or information resource, image collection | Platform for exploring the anatomic and genetic basis of glioblastoma at the cellular and molecular levels that includes two interactive databases linked together by de-identified tumor specimen numbers to facilitate comparisons across data modalities: * The open public image database, here, providing in situ hybridization data mapping gene expression across the anatomic structures inherent in glioblastoma, as well as associated histological data suitable for neuropathological examination * A companion database (Ivy GAP Clinical and Genomic Database) offering detailed clinical, genomic, and expression array data sets that are designed to elucidate the pathways involved in glioblastoma development and progression. This database requires registration for access. The hope is that researchers all over the world will mine these data and identify trends, correlations, and interesting leads for further studies with significant translational and clinical outcomes. The Ivy Glioblastoma Atlas Project is a collaborative partnership between the Ben and Catherine Ivy Foundation, the Allen Institute for Brain Science and the Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment. | glioblastoma, in situ hybridization, hematoxylin and eosin stain, brain, tumor, gene expression, anatomic structure, histology, clinical, genomic, expression array, gene, FASEB list | has parent organization: Allen Institute for Brain Science | Brain cancer, Cancer | Ben and Catherine Ivy Foundation | nlx_99161 | SCR_005044 | 2026-08-04 09:41:17 | 126 | |||||||
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VARIANT Resource Report Resource Website 1000+ mentions |
VARIANT (RRID:SCR_005194) | VARIANT | data analysis service, data processing software, data analysis software, analysis service resource, software resource, software application, production service resource, service resource | Analysis tool that can report the functional properties of any variant in all the human, mouse or rat genes (and soon new model organisms will be added) and the corresponding neighborhoods. Also other non-coding extra-genic regions, such as miRNAs are included in the analysis. It not only reports the obvious functional effects in the coding regions but also analyzes noncoding SNVs situated both within the gene and in the neighborhood that could affect different regulatory motifs, splicing signals, and other structural elements. These include: Jaspar regulatory motifs, miRNA targets, splice sites, exonic splicing silencers, calculations of selective pressures on the particular polymorphic positions, etc. Software analysis pipelines used in the analysis of NGS data are highly modular, heterogeneous, and rapidly evolving. VARIANT can easily be incorporated into a NGS resequencing pipeline either as a CLI or invoked a webservice. It inputs data directly from the most widely used programs for SNV detection., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | functional property, variant, gene, non-coding region, mirna, function, single nucleotide variant, next generation sequencing, command line |
is listed by: OMICtools has parent organization: Principe Felipe Research Centre; Valencia; Spain |
Spanish Ministry of Science and Innovation BIO2011-27069 | PMID:22693211 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00193 | SCR_005194 | Variant effect, VARIant ANalysis Tool | 2026-08-04 09:41:18 | 1366 | |||||
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German Gene Trap Consortium Resource Report Resource Website |
German Gene Trap Consortium (RRID:SCR_008532) | GGTC | cell repository, material resource, biomaterial supply resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on October 23, 2014. Consortium that generated a reference library of gene trap sequence tags (GTST) from insertional mutations generated in mouse embryonic stem (ES) cells. The gene trap database represents a repository of sequences produced in a large scale gene trap screen in mouse ES cells using various gene trapping vectors which are delivered either by electroporation or retroviral infections. A type of retroviral gene trap vector has been developed that can induce conditional mutations in most genes expressed in mouse embryonic stem (ES) cells. The vectors rely on directional site-specific recombination systems that can repair and re-induce gene trap mutations when activated in succession. After the gene traps are inserted into the mouse genome, genetic mutations can be produced at a particular time and place in somatic cells. In addition to their conditional features, the vectors create multipurpose alleles amenable to a wide range of post-insertional modifications. Here they have used these directional recombination vectors to assemble the largest library of ES cell lines with conditional mutations in single genes yet assembled, presently totaling 1,000 unique genes. The trapped ES cell lines, which can be ordered from the German Gene Trap Consortium, are freely available to the scientific community. | phenotyping, molecular neuroanatomy, gene trap sequence tag, embryonic stem cell line, mutation, gene | is listed by: One Mind Biospecimen Bank Listing | German Federal Ministry of Research and Education ; National Genome Research Network |
PMID:15870191 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30613 | http://genetrap.helmholtz-muenchen.de/ | SCR_008532 | German Gene Trap Consortium | 2026-08-04 09:42:10 | 0 | ||||
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IBDREG Resource Report Resource Website |
IBDREG (RRID:SCR_013127) | software application, software resource | 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) | gene, genetic, genomic, r/s-plus | is listed by: Genetic Analysis Software | nlx_154588, SCR_009366, nlx_154407 | http://mayoresearch.mayo.edu/mayo/research/schaid_lab/software.cfm | SCR_013127 | R/IBDREG | 2026-08-04 09:43:08 | 0 | ||||||||
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LINCS Data Portal Resource Report Resource Website 10+ mentions |
LINCS Data Portal (RRID:SCR_014939) | portal, data or information resource | Portal which provides a unified interface for searching LINCS dataset packages and reagents. Users can use the portal to access datasets, small molecules, cells, genes, proteins and peptides, and antibodies. | portal, assay, lincs, kinome, dataset, small molecule, cell, gene, protein, peptide, and antibodies. |
is related to: LINCS Data Portal 2.0 has parent organization: University of Miami; Florida; USA is parent organization of: CycIF.org |
NIH Common Fund ; NHLBI 1U01HL111561; NHLBI 3U01HL111561-01S1; NHLBI 3U01HL111561-02S1; NHGRI U54HG006097; NHGRI U54 HG006093 |
Freely available | SCR_014939 | 2026-08-04 09:43:34 | 13 | |||||||||
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Digital Differential Display (DDD) Resource Report Resource Website |
Digital Differential Display (DDD) (RRID:SCR_016638) | DDD | data processing software, software application, software resource | Software tool for comparing EST profiles in order to identify genes with significantly different expression levels. | comparing, EST, profile, identify, gene, different, expression, level |
has parent organization: NCBI works with: UniGene |
Public, Free, Freely available | SCR_016638 | Digital Differential Display | 2026-08-04 09:43:58 | 0 | ||||||||
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KOMP2 Resource Report Resource Website 1+ mentions |
KOMP2 (RRID:SCR_017528) | portal, project portal, data or information resource | Knockout Mouse Phenotyping Project, JAX information about their contributions to KOMP2 project. Project to generate and phenotype single gene KO mouse strains from KOMP ES cell lines. Strains are phenotyped using protocols in pipeline designed by International Mouse Phenotyping Consortium. There are three NIH-funded phenotyping centers in United States: JAX, BaSH Consortium (Baylor College of Medicine, the Wellcome Trust Sanger Institute and MRC Harwell), and the DTCC Consortium (University of California at Davis, the Toronto Center for Phenogenomics, Children’s Hospital Oakland Research Institute (CHORI) and Charles River ). | Generate, phenotype, single, gene, KO mouse, strain, KOMP ES cell line, IMPC, JAX |
is related to: International Mouse Phenotyping Consortium (IMPC) is related to: Knockout Mouse Project is related to: Knockout Mouse Project |
NIH | Free, Freely available | SCR_017528 | Knockout Mouse Phenotyping Project | 2026-08-04 09:44:10 | 2 | ||||||||
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refine.bio Resource Report Resource Website |
refine.bio (RRID:SCR_017471) | data processing software, software application, software resource | Software tool to uniformly process and normalize large amounts of data. Harmonizes petabytes of publicly available biological data into ready-to-use datasets for cancer researchers and AI/ML scientists. | Process, normalize, large, amount, data, cancer, dataset, standardized, pipeline, gene, expression | Free, Available for download, Freely available | https://www.refine.bio/ | SCR_017471 | 2026-08-04 09:44:14 | 0 | ||||||||||
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ExonerateTransferAnnotation Resource Report Resource Website |
ExonerateTransferAnnotation (RRID:SCR_017557) | data processing software, software application, software resource | Software tool as pipeline to make anntotations using cDNA and CDS sequences. | Exonerate, transfer, annotation, cDNA, CDS, sequence, pipeline, gene | uses: Exonerate | Free, Available for download, Freely available | SCR_017557 | Resource | 2026-08-04 09:44:14 | 0 | |||||||||
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Rat Gene Symbol Tracker Resource Report Resource Website 10+ mentions |
Rat Gene Symbol Tracker (RRID:SCR_003261) | RGST | database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented September 2, 2016. Database for defining official rat gene symbols. It includes rat gene symbols from three major sources: the Rat Genome Database (RGD), Ensembl, and NCBI-Gene. All rat symbols are compared with official symbols from orthologous human genes as specified by the Human Gene Nomenclature Committee (HGNC). Based on the outcome of the comparisons, a rat gene symbol may be selected. Rat symbols that do not match a human ortholog undergo a strict procedure of comparisons between the different rat gene sources as well as with the Mouse Genome Database (MGD). For each rat gene this procedure results in an unambiguous gene designation. The designation is presented as a status level that accompanies every rat gene symbol suggested in the database. The status level describes both how a rat symbol was selected, and its validity. Rat Gene Symbol Tracker approves rat gene symbols by an automatic procedure. The rat genes are presented with links to RGD, Ensembl, NCBI Gene, MGI and HGNC. RGST ensures that each acclaimed rat gene symbol is unique and follows the guidelines given by the RGNC. To each symbol a status level associated, describing the gene naming process. | gene, orthology, naming, gene symbol, nomenclature, human, mouse |
is related to: Rat Genome Database (RGD) is related to: Entrez Gene is related to: Ensembl is related to: Mouse Genome Informatics (MGI) is related to: HGNC has parent organization: RatMap |
Swedish MRC ; Nilsson-Ehle Foundation ; Sven and Lilly Lawski Foundation ; Erik Philip-Sorensen Foundation ; Wilhelm and Martina Lundgren Research Foundation ; SWEGENE Foundation |
PMID:18215257 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31426 | SCR_003261 | RGST (Rat Gene Symbol Tracker), RGST - Rat Gene Symbol Tracker | 2026-08-04 09:40:51 | 14 | |||||
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Retina Project Resource Report Resource Website 1+ mentions |
Retina Project (RRID:SCR_002884) | Retina Project | atlas, spatially referenced dataset, data or information resource | Collection of images from cell type-specific protein expression in retina using BAC transgenic mice. Images from cell type-specific protein expression in retina using BAC transgenic mice from GENSAT project. | electrophysiology, protein expression, fluorescent, gene, amacrine cell, astrocyte, bipolar cell, blood vessel, brain, cell, ganglion cell layer, central nervous system, circuit, horizontal cell, hybridization, microglia, adult mouse, muller cell, neocortex, neuronal, photoreceptor, protein, recombinase, retina, spinal cord, mutant mouse strain, bac, retinal cell, cell type, night vision, direction, neuronal circuitry, connectivity, image collection |
is used by: NIF Data Federation has parent organization: GENSAT at NCBI - Gene Expression Nervous System Atlas |
Department Of Health And Human Services ; NINDS N01 NS02331 |
PMID:19648912 | Free, Freely available | nif-0000-25587 | SCR_002884 | GENSAT Retina Project, Retina Project from GENSAT, The Retina Project, The Retina Project from GENSAT, GENSAT - Retina Project | 2026-08-04 09:40:45 | 2 | |||||
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Distant Regulatory Elements Resource Report Resource Website 10+ mentions |
Distant Regulatory Elements (RRID:SCR_003058) | DiRE | data analysis service, analysis service resource, production service resource, service resource | Web server based on the Enhancer Identification (EI) method, to determine the chromosomal location and functional characteristics of distant regulatory elements (REs) in higher eukaryotic genomes. The server uses gene co-expression data, comparative genomics, and combinatorics of transcription factor binding sites (TFBSs) to find TFBS-association signatures that can be used for discriminating specific regulatory functions. DiRE's unique feature is the detection of REs outside of proximal promoter regions, as it takes advantage of the full gene locus to conduct the search. DiRE can predict common REs for any set of input genes for which the user has prior knowledge of co-expression, co-function, or other biologically meaningful grouping. The server predicts function-specific REs consisting of clusters of specifically-associated TFBSs, and it also scores the association of individual TFs with the biological function shared by the group of input genes. Its integration with the Array2BIO server allows users to start their analysis with raw microarray expression data. | regulatory element, enhancer identification, genome, prediction, transcription factor binding site, gene, co-expression, co-function, function, transcription factor, comparative genomics, regulatory function, gene locus, chromosome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: NCBI |
NLM ; Intramural Research Program |
PMID:18487623 | Free, Freely available | nif-0000-30448, biotools:dire | https://bio.tools/dire | SCR_003058 | Distant Regulatory Elements of co-regulated genes | 2026-08-04 09:40:48 | 25 | ||||
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MITOMAP - A human mitochondrial genome database Resource Report Resource Website 100+ mentions |
MITOMAP - A human mitochondrial genome database (RRID:SCR_002996) | MITOMAP | database, data or information resource | Database of polymorphisms and mutations of the human mitochondrial DNA. It reports published and unpublished data on human mitochondrial DNA variation. All data is curated by hand. If you would like to submit published articles to be included in mitomap, please send them the citation and a pdf. | gene, genome, diabetes, disease, disease-association, high resolution screening, human, inversion, metabolism, mitochondrial dna, mutation, phenotype, polymorphism, polypeptide assignment, pseudogene, restriction site, rna, sequence, trna, unpublished, variation, mitochondria, dna, insertion, deletion, FASEB list |
is used by: HmtVar is listed by: OMICtools is related to: Hereditary Hearing Loss Homepage has parent organization: Childrens Hospital of Philadelphia - Research Institute; Pennsylvania; USA has parent organization: Emory University School of Medicine; Atlanta; Georgia; USA |
NIH ; Muscular Dystrophy Foundation ; Ellison Foundation ; Diputacion General de Aragon Grupos consolidados B33 ; NIGMS GM46915; NINDS NS21328; NHLBI HL30164; NIA AG10130; NIA AG13154; NINDS NS213L8; NHLBI HL64017; NIH Biomedical Informatics Training Grant T15 LM007443; NSF EIA-0321390; Spanish Fondo de Investigacion Sanitaria PI050647; Ciber Enfermedades raras CB06/07/0043 |
PMID:17178747 PMID:15608272 PMID:9399813 PMID:9016535 PMID:8594574 |
Except where otherwise noted, Creative Commons Attribution License, The community can contribute to this resource | nif-0000-00511, OMICS_01641 | SCR_002996 | 2026-08-04 09:40:47 | 368 | ||||||
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ExAc Resource Report Resource Website 1000+ mentions |
ExAc (RRID:SCR_004068) | ExAC | database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. An aggregated data platform for genome sequencing data created by a coalition of investigators seeking to aggregate and harmonize exome sequencing data from a variety of large-scale sequencing projects, and to make summary data available for the wider scientific community. The data set provided on this website spans 61,486 unrelated individuals sequenced as part of various disease-specific and population genetic studies. They have removed individuals affected by severe pediatric disease, so this data set should serve as a useful reference set of allele frequencies for severe disease studies. All of the raw data from these projects have been reprocessed through the same pipeline, and jointly variant-called to increase consistency across projects. They ask that you not publish global (genome-wide) analyses of these data until after the ExAC flagship paper has been published, estimated to be in early 2015. If you''re uncertain which category your analyses fall into, please email them. The aggregation and release of summary data from the exomes collected by the Exome Aggregation Consortium has been approved by the Partners IRB (protocol 2013P001477, Genomic approaches to gene discovery in rare neuromuscular diseases). | exome sequencing, exome, sequencing, variant, grch37/hg19, gene, region, transcript, multi-allelic variant, FASEB list |
uses: dbSNP has parent organization: Broad Institute |
PMID:27899611 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_158505, r3d100010468 | https://doi.org/10.17616/R3QP53 | SCR_004068 | Exome Aggregation Consortium, ExAC Browser | 2026-08-04 09:41:03 | 4800 | |||||
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ChannelPedia Resource Report Resource Website 1+ mentions |
ChannelPedia (RRID:SCR_003807) | Channelpedia | database, data or information resource | An information management framework for comprehensive ion channel information. It is a knowledge base system centered on genetically expressed ion channel models and it encourages researchers of the field to contribute, build and refine the information through an interactive wiki-like interface. It is web-based, freely accessible and currently contains 187 annotated ion channels with 50 Hodgkin-Huxley models (September 2014). Channelepdia provides an ideal platform to collectively build ion channel knowledge base by accommodating both structured and unstructured data. The current version of Channelpedia contains the following sections : Introduction, Genes, Ontologies, Interactions, Structure, Expression, Distribution, Function, Kinetics and Models. Newly published literature related to ion channels is automatically queried every week from PubMed and added to respective categories. Currently, Channelpedia contains ~180,000 abstracts related to ion channels from Pubmed. | ion channel, model, cell, gene, transcript, ontology, interaction, hodgkinhuxley model, kinetics |
uses: PubMed uses: Gene Ontology uses: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) uses: UniProt uses: Ensembl uses: IntAct uses: Rat Genome Database (RGD) has parent organization: Blue Brain Project |
PMID:22232598 | The community can contribute to this resource, Free, Public | nlx_158108 | SCR_003807 | Channel pedia | 2026-08-04 09:40:59 | 9 | ||||||
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PReMod Resource Report Resource Website 10+ mentions |
PReMod (RRID:SCR_003403) | PReMod | database, data or information resource | Database that describes more than 100,000 computational predicted transcriptional regulatory modules within the human genome. These modules represent the regulatory potential for 229 transcription factors families and are the first genome-wide / transcription factor-wide collection of predicted regulatory modules for the human genome. The algorithm used involves two steps: (i) Identification and scoring of putative transcription factor binding sites using 481 TRANSFAC 7.2 position weight matrices (PWMs) for vertebrate transcription factors. To this end, each non-coding position of the human genome was evaluated for its similarity to each PWM using a log-likelihood ratio score with a local GC-parameterized third-order Markov background model. Corresponding orthologous positions in mouse and rat genomes were evaluated similarly and a weighted average of the human, mouse, and rat log-likelihood scores at aligned positions (based on a Multiz (Blanchette et al. 2004) genome-wide alignment of these three species) was used to define the matrix score for each genomic position and each PWM. (ii) Detection of clustered putative binding sites. To assign a module score to a given region, the five transcription factors with the highest total scoring hits are identified, and a p-value is assigned to the total score observed of the top 1, 2, 3, 4, or 5 factors. The p-value computation takes into consideration the number of factors involved (1 to 5), their total binding site scores, and the length and GC content of the region under evaluation. Users can retrieve all information for a given region, a given PWM, a given gene and so on. Several options are given for textual output or visualization of the data. | cis-regulatory module, genome, transcription factor binding site, chromosome, module, predict, gene |
is listed by: OMICtools has parent organization: McGill University; Montreal; Canada |
PMID:17148480 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03334, OMICS_01873 | SCR_003403 | Predicted Regulatory Modules | 2026-08-04 09:40:54 | 11 |
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