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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Ligand-Gated Ion Channel Database Resource Report Resource Website 1+ mentions |
Ligand-Gated Ion Channel Database (RRID:SCR_002418) | LGICdb | database, data or information resource | Database providing access to information about transmembrane proteins that exist under different conformations, with three primary subfamilies: the cys-loop superfamily, the ATP gated channels superfamily, and the glutamate activated cationic channels superfamily. Due to the lack of evolutionary relationship, these three superfamilies are treated separately. It currently contains 554 entries of ligand-activated ion channel subunits. In this database one may find: the nucleic and proteic sequences of the subunits. Multiple sequence alignments can be generated, and some phylogenetic studies of the superfamilies are provided. Additionally, the atomic coordinates of subunits, or portion of subunits, are provided when available. Redundancy is kept to a minimum, i.e. one entry per gene. Each entry in the database has been manually constructed and checked by a researcher of the field in order to reduce the inaccuracies to a minimum. NOTE: This database is not actively maintained anymore. People should not consider it as an up-to-date trustable resource. For any new work, they should consider using alternative sources, such as UniProt, Ensembl, Protein Databank etc. | equilibrium, extracellular, gabaa, gated, gene, genetics, 3d model, alignment, anionic, atomic, atp, cationic, cellular, molecular, channel, compartment, computation, conformation, coordinate, cys-loop, glutamate, glycine, histamine, homologous, ion, ion channel, ligand, membrane, nicotinic, nucleic acid, phylogenetic, pore, portion, proteic, nucleic acid, protein, phylogeny, receptor, segment, sequence, sequence data, serotonin, subunit, superfamily, transmembrane |
is listed by: re3data.org has parent organization: European Bioinformatics Institute |
College of France; Paris; France ; Centre National de la Recherche Scientifique ; European Union ; Biotech and Biomed contracts ; French Ministry of Higher Education and Research ; Institut Pasteur |
PMID:16381861 PMID:11125117 |
nif-0000-00037, r3d100010796 | https://doi.org/10.17616/R3Q90D | SCR_002418 | LGIC Database | 2026-08-06 09:25:38 | 1 | |||||
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NHGRI Dog Genome Project Resource Report Resource Website 1+ mentions |
NHGRI Dog Genome Project (RRID:SCR_002256) | NHGRI Dog Genome Project | database, data or information resource | The Dog Genome Project at the National Human Genome Research Institute is working to develop resources necessary to map and clone canine genes in an effort to utilize dogs as a model system for genetics and cancer research. The US National Human Genome Research Institute (NHGRI) agreed to fund a project to sequence the entire genome of a boxer dog named Tasha, because it recognized the value of the dog as an unrivaled model for the study of human disease. The National Human Genome Research Institute (NHGRI) led the National Institutes of Health's (NIH) contribution to the International Human Genome Project, which had as its primary goal the sequencing of the human genome. This project was successfully completed in April 2003. Now, the NHGRI's mission has expanded to encompass a broad range of studies aimed at understanding the structure and function of the human genome and its role in health and disease. To that end NHGRI supports the development of resources and technology that will accelerate genome research and its application to human health. A critical part of the NHGRI mission continues to be the study of the ethical, legal and social implications (ELSI) of genome research. NHGRI also supports the training of investigators and the dissemination of genome information to the public and to health professionals. | gene, genetic, cancer, canine, clone, disease, dog, genome, health, human, map, model, system | PMID:16102268 | nif-0000-20975 | SCR_002256 | National Human Genome Research Institute Dog Genome Project | 2026-08-06 09:25:34 | 1 | ||||||||
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GeneCards Resource Report Resource Website 5000+ mentions |
GeneCards (RRID:SCR_002773) | GeneCards | database, data or information resource | Database of human genes that provides concise genomic, proteomic, transcriptomic, genetic and functional information on all known and predicted human genes. Information featured in GeneCards includes orthologies, disease relationships, mutations and SNPs, gene expression, gene function, pathways, protein-protein interactions, related drugs and compounds and direct links to cutting edge research reagents and tools such as antibodies, recombinant proteins, clones, expression assays and RNAi reagents. | genome, human gene, genome, gene, genomic, proteomic, transcriptomic, genetic, function, ortholog, disease, mutation, single nucleotide polymorphism, gene expression, gene function, pathway, protein-protein interaction, drug, compound, reagent, antibody, recombinant protein, clone, expression assay, rnai reagent, FASEB list |
is listed by: OMICtools is related to: MOPED - Model Organism Protein Expression Database |
PMID:20689021 | Free, Freely available | nif-0000-02879, OMICS_01652, r3d100012015 | http://bioinfo.weizmann.ac.il/genecards/, https://doi.org/10.17616/R3D643 | SCR_002773 | GeneCards - The Human Gene Compendium | 2026-08-06 09:25:43 | 6546 | |||||
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CoryneRegNet Resource Report Resource Website 10+ mentions |
CoryneRegNet (RRID:SCR_002255) | CoryneRegNet | database, data or information resource | Reference database and analysis platform for corynebacterial transcription factors and gene regulatory networks. It generates links to genome annotations, to identified transcription factors and to the corresponding cis-regulatory elements. CoryneRegNet is based on a multi-layered, hierarchical and modular concept of transcriptional regulation and was implemented by using the relational database management system MySQL and an ontology-based data structure. | gene, regulatory network, transcription factor, interaction, cis-regulatory element, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Cytoscape has parent organization: Max-Planck-Institute for Informatics; Saarbrucken; Germany |
PMID:22080556 PMID:19498379 PMID:18426593 PMID:17986320 PMID:17229482 PMID:16478536 |
Free, Freely available | biotools:coryneregnet, nif-0000-02689, OMICS_01858 | https://bio.tools/coryneregnet | SCR_002255 | 2026-08-06 09:25:37 | 17 | ||||||
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HomoloGene Resource Report Resource Website 100+ mentions |
HomoloGene (RRID:SCR_002924) | HomoloGene | service resource, database, data or information resource | Automated system for constructing putative homology groups from complete gene sets of wide range of eukaryotic species. Databse that provides system for automatic detection of homologs, including paralogs and orthologs, among annotated genes of sequenced eukaryotic genomes. HomoloGene processing uses proteins from input organisms to compare and sequence homologs, mapping back to corresponding DNA sequences. Reports include homology and phenotype information drawn from Online Mendelian Inheritance in Man, Mouse Genome Informatics, Zebrafish Information Network, Saccharomyces Genome Database and FlyBase. | homolog, paralog, ortholog, genome, gene, protein, protein alignment, phenotype, conserved domain, homology, amino acid sequence, cell, dna, gold standard |
is used by: NIF Data Federation is used by: Nowomics is used by: MitoMiner is listed by: OMICtools is listed by: re3data.org is related to: OMIM is related to: Mouse Genome Informatics (MGI) is related to: Zebrafish Information Network (ZFIN) is related to: SGD is related to: FlyBase is related to: ProbeMatchDB 2.0 is related to: Biomine is related to: Consensus CDS has parent organization: NCBI |
PMID:23193264 | Free, Freely availalbe | nif-0000-02975, r3d100010781, OMICS_01544 | http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=homologene, https://doi.org/10.17616/R3889F | SCR_002924 | NCBI HomoloGene | 2026-08-06 09:25:45 | 437 | |||||
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Zebrafish Information Network (ZFIN) Resource Report Resource Website 500+ mentions |
Zebrafish Information Network (ZFIN) (RRID:SCR_002560) | ZFIN | database, data or information resource | Model organism database that serves as central repository and web-based resource for zebrafish genetic, genomic, phenotypic and developmental data. Data represented are derived from three primary sources: curation of zebrafish publications, individual research laboratories and collaborations with bioinformatics organizations. Data formats include text, images and graphical representations.Serves as primary community database resource for laboratory use of zebrafish. Developed and supports integrated zebrafish genetic, genomic, developmental and physiological information and link this information extensively to corresponding data in other model organism and human databases. | expression, gene, anatomy, development, disease, genomic, model, molecular, mutant, neuronal, organism, phenotype, physiological, synteny, zebrafish, gene expression, genome sequence, molecular neuroanatomy resource, genotype, anatomical structure, publication, genome, image collection, gold standard, bio.tools, FASEB list, RRID Community Authority |
uses: InterMOD is used by: NIF Data Federation is used by: Resource Identification Portal is used by: Morpholino Database is used by: Integrated Animals is used by: NIH Heal Project is recommended by: Resource Identification Portal is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: OMICtools is listed by: InterMOD is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: AmiGO is related to: Phenoscape Knowledgebase is related to: MONARCH Initiative is related to: Bgee: dataBase for Gene Expression Evolution is related to: NIH Data Sharing Repositories is related to: HomoloGene is related to: Zebrafish International Resource Center is related to: Integrated Manually Extracted Annotation is related to: Zebrafish Genome Project has parent organization: University of Oregon; Oregon; USA is parent organization of: ZFIN Antibody Database is parent organization of: Zebrafish Anatomical Ontology is parent organization of: ZFIN Protocol Wiki is parent organization of: ZFIN Antibody Wiki is organization facet of: Alliance of Genome Resources |
NHGRI P41 HG002659; NHGRI R01 HG004834 |
PMID:23074187 PMID:21036866 PMID:16381936 |
Free, Available for download, Freely available | OMICS_01666, nif-0000-21427, biotools:zfin, r3d100010421, SCR_017504 | http://zfin.org/ZFIN/misc_html/tips.html#newrecord, https://wiki.zfin.org/display/general/ZFIN+Data+Submissions, https://bio.tools/zfin, https://doi.org/10.17616/R3CK5Z | SCR_002560 | Zebrafish Database, The Zebrafish Model Organism Database, Zebra Model Organism Database, ZebraFish Information Network, ZFIN | 2026-08-06 09:25:41 | 898 | ||||
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Knowledgebase for Addiction Related Genes Resource Report Resource Website 1+ mentions |
Knowledgebase for Addiction Related Genes (RRID:SCR_002687) | KARG | database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 14,2026. Database of data and knowledge linking genes and chromosome regions to addiction that were extracted from reviewing more than 1,000 peer-reviewed publications from between 1976 and 2006. This list of publications included review papers on addiction selected from results of PUBMED query "(addiction OR drug abuse) AND review" as well as research papers selected from PUBMED query "(addiction OR drug abuse) AND (gene OR microarray OR proteomics OR QTL OR population association OR genetic linkage)". The data spanned multiple technology platforms including classical hypothesis-testing of single genes, identification of significantly differentially expressed genes in microarray experiments, identification of significantly differentially expressed proteins in proteomics assays, identification of addiction-vulnerable chromosome regions in animal QTL studies, genetic linkage studies, population association studies, and OMIM annotations. From each publication they collected the genes, proteins, or chromosome regions linked to addiction, as well as metadata such as species, nature of the addictive substance, studied brain regions, technology platforms, and experimental parameters. In total, they collected 2,343 items of evidence linking 1,500 human genes to addiction. Among them 396 genes were supported by two or more items of evidence. The interface supports browsing of the genes by chromosome or pathways, advanced text search by gene ID, organism, type of addictive substance, technology platform, protein domain, and/or PUBMED ID, and sequence search by BLAST similarity. All data, database schema, and MySQL commands are freely available for download. | molecular neuroanatomy resource, gwas, meta-analysis, genetic susceptibility, gene, protein, chromosome, pathway, drug of abuse, blast, addiction, substance abuse, drug abuse, microarray, proteomics, qtl, population association, genetic linkage |
uses: PubMed has parent organization: Peking University; Beijing; China |
PMID:18179280 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00411 | SCR_002687 | KARG: Knowledgebase for Addiction-Related Gene, Knowledgebase for Addiction-Related Gene, KARG: Knowledgebase for Addiction Related Genes | 2026-08-06 09:25:41 | 8 | ||||||
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EcoGene Resource Report Resource Website 50+ mentions |
EcoGene (RRID:SCR_002437) | ECK, ECOGENE, ECOGENE G | database, data or information resource | Database that contains updated information about the Escherichia coli K-12 genome and proteome sequences, including extensive gene bibliographies. Users are able to download customized tables, perform Boolean query comparisons, generate sets of paired DNA sequences, and download any E. coli K-12 genomic DNA sub-sequence. BLAST functions, microarray data, an alphabetical index of genes, and gene overlap queries are also available. The Database Table Downloads Page provides a full list of EG numbers cross-referenced to the new cross-database ECK numbers and other common accession numbers, as well as gene names and synonyms. Monthly release archival downloads are available, but the live, daily updated version of EcoGene is the default mysql database for download queries. | life sciences, genomics, proteomics, gene, gene expression, genetics, protein, protein binding, protein-protein interaction, membrane, rna, dna, structure, function, functional annotation, annotation, blast, FASEB list |
is listed by: re3data.org is related to: RefSeq is related to: Colibri has parent organization: University of Miami Miller School of Medicine; Florida; USA |
NIH ; Lucille P. Markey Foundation ; NIGMS 5-R01-GM58560-05 |
PMID:23197660 PMID:10592181 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02784, r3d100010546 | https://doi.org/10.17616/R3KP5V | http://bmb.med.miami.edu/ http://bmb.med.miami.edu/EcoGene/EcoWeb/ http://www.ecogene.org/old/ | SCR_002437 | EcoGene Database of Escherichia coli Sequence and Function | 2026-08-06 09:25:40 | 56 | |||
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object-oriented Transcription Factors Database Resource Report Resource Website 1+ mentions |
object-oriented Transcription Factors Database (RRID:SCR_002435) | database, data or information resource | ooTFD (object-oriented Transcription Factors Database) is a successor to TFD, the original Transcription Factors Database. This database is aimed at capturing information regarding the polypeptide interactions which comprise and define the properties of transcription factors. ooTFD contains information about transcription factor binding sites, as well as composite relationships within transcription factors, which frequently occur as multisubunit proteins that form a complex interface to cellular processes outside the transcription machinery through protein-protein interactions. ooTFD contains information represented in TFD but also allows the representation of containment, composite, and interaction relationships between transcription factor polypeptides. It is designed to represent information about all transcription factors, both eukaryotic and prokaryotic, basal as well as regulatory factors, and multiprotein complexes as well as monomers. | eukaryotic, expression, factor, gene, basal, binding site, biochemical, biology, cellular, complex, genome, genomic, information, interaction, molecule, monomer, multisubunit, nucleotide sequences, transcriptional regulator sites, transcription factors, object, polypeptide, process, prokaryotic, property, protein, protein-protein interaction, regulatory, sequence, transcription | has parent organization: IFTI-Mirage | PMID:10592257 PMID:9847215 PMID:9399874 |
Free, Freely available | nif-0000-21303 | SCR_002435 | ooTFD | 2026-08-06 09:25:39 | 2 | |||||||
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Database oDatabase of Predicted Subcellular Localization for Eukaryotic PDB Chainsf Predicted Subcellular Localization for Eukaryotic PDB Chains Resource Report Resource Website |
Database oDatabase of Predicted Subcellular Localization for Eukaryotic PDB Chainsf Predicted Subcellular Localization for Eukaryotic PDB Chains (RRID:SCR_002831) | database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. LOC3d is a database of predicted subcellular localization for eukaryotic proteins of known 3-D structure taken from the Protein Databank. Subcellular localization is currently predicted using four different methods: predictNLS (nuclear localization signal), LOChom (using homology), LOCkey (using keywords) and LOC3d (neural network based prediction). The reported localization is based on the method which predicts localization of a given protein with the highest confidence. LOCtree is a novel system of support vector machines (SVMs) that predict the subcellular localization of proteins, and DNA-binding propensity for nuclear proteins, by incorporating a hierarchical ontology of localization classes modeled onto biological processing pathways. Biological similarities are incorporated from the description of cellular components provided by the gene ontology consortium (GO). GO definitions have been simplified and tailored to the problem of protein sorting. Technically the ontology has been implemented using a decision tree with SVMs as the nodes. LOCtree, was extremely successful at learning evolutionary similarities among subcellular localization classes and was significantly more accurate than other traditional networks at predicting subcellular localization. Whenever available, LOCtree also reports predictions based on the following: 1) Nuclear localization signals found by PredictNLS, 2) Localization inferred using Prosite motifs and Pfam domains found in the protein, and 3) SWISS-PROT keywords associated with a protein. Localization is inferred in the last two cases using the entropy-based LOCkey algorithm. Additional information can be found in the LOCtree manuscript and associated PredictNLS and LOCkey publications. | eukaryotic, gene, binding, biological, dna, localization, nuclear, pathway, protein, structure, subcellular, vector, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Columbia University; New York; USA |
PMID:12824321 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-25200, biotools:loc3d | https://bio.tools/loc3d | SCR_002831 | LOC3d | 2026-08-06 09:25:44 | 0 | ||||||
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Exonic Splicing Enhancer Finder Resource Report Resource Website 50+ mentions |
Exonic Splicing Enhancer Finder (RRID:SCR_002835) | data analysis service, production service resource, analysis service resource, service resource | A web-based analysis service for identifying exonic splicing enhancers in eukaryotic genes. ESEfinder accept sequences in the FASTA format. A typical mammalian gene is composed of several relatively short exons that are interrupted by much longer introns. To generate correct mature mRNAs, the exons must be identified and joined together precisely and efficiently, in a process that requires the coordinated action of five small nuclear (sn)RNAs (U1, U2, U4, U5 and U6) and more than 60 polypeptides. The inaccurate recognition of exon/intron boundaries or the failure to remove an intron generates aberrant mRNAs that are either unstable or code for defective or deleterious protein isoforms. Exonic enhancers are thought to serve as binding sites for specific serine/arginine-rich (SR) proteins, a family of structurally related and highly conserved splicing factors characterized by one or two RNA-recognition motifs (RRM) and by a distinctive C-terminal domain highly enriched in RS dipeptides (the RS domain). The RRMs mediate sequence-specific binding to the RNA, and so determine substrate specificity, whereas the RS domain appears to be involved mainly in protein-protein interactions. SR proteins bound to ESEs can promote exon definition by directly recruiting the splicing machinery through their RS domain and/or by antagonizing the action of nearby silencer elements. Sponsors: ESEfinder is supported by the Cold Spring Harbor Laboratory. | element, enhancer, eukaryotic, exon, exonic, gene, analysis, arginine, boundary, c-terminal, dipeptide, intron, isoform, mammalian, mrna, nuclear, polypeptide, protein, recognition, rna, serine, service, snrna, splice | has parent organization: Cold Spring Harbor Laboratory | Free, Freely available | nif-0000-25204 | SCR_002835 | ESEfinder | 2026-08-06 09:25:44 | 66 | ||||||||
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ABS: A Database of Annotated Regulatory Binding Sites From Orthologous Promoters Resource Report Resource Website 1+ mentions |
ABS: A Database of Annotated Regulatory Binding Sites From Orthologous Promoters (RRID:SCR_002276) | ABS | database, data or information resource | Public database of known binding sites identified in promoters of orthologous vertebrate genes that have been manually curated from bibliography. We have annotated 650 experimental binding sites from 68 transcription factors and 100 orthologous target genes in human, mouse, rat or chicken genome sequences. Computational predictions and promoter alignment information are also provided for each entry. For each gene, TFBSs conserved in orthologous sequences from at least two different species must be available. Promoter sequences as well as the original GenBank or RefSeq entries are additionally supplied in case of future identification conflicts. The final TSS annotation has been refined using the database dbTSS. Up to this release, 500 bps upstream the annotated transcription start site (TSS) according to REFSEQ annotations have been always extracted to form the collection of promoter sequences from human, mouse, rat and chicken. For each regulatory site, the position, the motif and the sequence in which the site is present are available in a simple format. Cross-references to EntrezGene, PubMed and RefSeq are also provided for each annotation. Apart from the experimental promoter annotations, predictions by popular collections of weight matrices are also provided for each promoter sequence. In addition, global and local alignments and graphical dotplots are also available. | gene, alignment, annotation, binding, computational, genome, nucleotide, ortholog, prediction, promoter, sequence, target, transcription, transcriptional factor, binding site, promoter sequence, protein motif, benchmark, transcription factor binding site, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: IntegromeDB has parent organization: Center for Genomic Regulation; Barcelona; Spain |
European Union FP6 contract LSHG-CT-2003-503265 | PMID:16381947 | Acknowledgement requested, GNU General Public License, v2 | biotools:alggen, nif-0000-21006 | https://bio.tools/alggen | SCR_002276 | A database of Annotated regulatory Binding Sites from orthologous promoters | 2026-08-06 09:25:38 | 1 | ||||
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T3DB Resource Report Resource Website 10+ mentions |
T3DB (RRID:SCR_002672) | T3DB | database, data or information resource | Database that combines detailed toxin data with comprehensive toxin target information. The database currently houses 3,053 toxins described by 32,276 synonyms, including pollutants, pesticides, drugs, and food toxins, which are linked to 1,670 corresponding toxin target records. Altogether there are 37,084 toxin, toxin target associations. (March 2014) Each toxin record (ToxCard) contains over 50 data fields and holds information such as chemical properties and descriptors, toxicity values, molecular and cellular interactions, and medical information. This information has been extracted from over 5,454 sources sources, which include other databases, government documents, books, and scientific literature. The focus of the T3DB is on providing mechanisms of toxicity and target proteins for each toxin. This dual nature of the T3DB, in which toxin and toxin target records are interactively linked in both directions, makes it unique from existing databases. It is also fully searchable and supports extensive text, sequence, chemical structure, and relational query searches | toxicology, toxin, pollutant, pesticide, drug, food, gene-drug, interaction, gene, phenotype, mechanism, bio.tools |
is used by: NIF Data Federation is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: FMA has parent organization: University of Alberta; Alberta; Canada |
Alberta Advanced Education and Technology ; Canadian Institutes of Health Research ; Genome Alberta ; Genome Canada |
PMID:19897546 | Free, Available for download, Freely available | r3d100012189, nif-0000-22933, biotools:t3db, OMICS_01592 | https://bio.tools/t3db, https://doi.org/10.17616/R3VM0R | SCR_002672 | Toxin-Target Database, Toxin Toxin-Target Database, Toxin and Toxin Target Database, Toxin, Toxin Toxin Target Database | 2026-08-06 09:25:41 | 24 | ||||
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Database of Transcribed Sequences Resource Report Resource Website 10+ mentions |
Database of Transcribed Sequences (RRID:SCR_002334) | database, data or information resource | DoTS (Database Of Transcribed Sequences) is a human and mouse transcript index created from all publicly available transcript sequences. The input sequences are clustered and assembled to form the DoTS Consensus Transcripts that comprise the index. These transcripts are assigned stable identifiers of the form DT.123456 (and are often referred to as dots). The transcripts are in turn clustered to form putative DoTS Genes. These are assigned stable identifiers of the form DG.1234356. As of September 1, 2004, the DoTS annotation team has manually annotated 43,164 human and 78,054 mouse DoTS Transcripts (DTs), corresponding to 3,939 human and 7,752 mouse DoTS Genes (DGs). Use the manually annotated gene query to see the DoTS Transcripts that have been manually annotated. The focus of the DoTS project is integrating the various types of data (e.g., EST sequences, genomic sequence, expression data, functional annotation) in a structured manner which facilitates sophisticated queries that are otherwise not easy to perform. DoTS is built on the GUS Platform which includes a relational database that uses controlled vocabularies and ontologies to ensure that biologically meaningful queries can be posed in a uniform fashion. An easy way to start using the site is to search for DoTS Transcripts using an existing cDNA or mRNA sequence. Click on the BLAST tab at the top of the page and enter your sequence in the form provided. All the transcripts with significant sequence similarity to your query sequence will be displayed. Or use one of the provided queries to retrieve transcripts using a number of criteria. These queries are listed on the query page, which can also be reached by clicking on the tab marked query at the top of the page. Finally, the boolean query page allows these queries to be combined in a variety of ways. Sponsors: Funding provided by -NIH grant RO1-HG-01539-03 -DOE grant DE-FG02-00ER62893 | expression, functional, gene, annotation, biological, cdna, genomic, human, index, model organisms and comparative genomics databases, mouse, mrna, sequence, structure, transcribed, transcript | has parent organization: University of Pennsylvania; Philadelphia; USA | nif-0000-21125 | SCR_002334 | DoTs | 2026-08-06 09:25:37 | 15 | |||||||||
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LINCS Connectivity Map Resource Report Resource Website 500+ mentions |
LINCS Connectivity Map (RRID:SCR_002639) | CMap | database, data or information resource | A catalog of gene-expression data collected from human cells treated with chemical compounds and genetic reagents. Computational methods to reduce the number of necessary genomic measurements along with streamlined methodologies enable the current effort to significantly increase the size of the CMap database and along with it, our potential to connect human diseases with the genes that underlie them and the drugs that treat them. The NIH has funded a large expansion of the Connectivity Map dataset through the Library of Integrated Network-based Cellular Signatures (LINCS). The Broad Institute's LINCS center aims to create a first installment of data generation and analysis for the LINCS program. Through these data LINCS intends to accelerate the discovery process by systematically revealing connections between genes/compounds discovered in screens and molecular pathways that underlie disease states. | functional genomics, gene, cell, gene expression, compound, molecule, pathway, disease, perturbagen, gene expression profile, genetic, cellular, chemical reagent, FASEB list |
has parent organization: Broad Institute has parent organization: HMS LINCS Database |
NIH Common Fund | PMID:28069634 | Free, Freely available | nlx_156066 | SCR_002639 | Connectivity Map | 2026-08-06 09:25:41 | 637 | |||||
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Entrez Gene Resource Report Resource Website 1000+ mentions |
Entrez Gene (RRID:SCR_002473) | NCBI_Gene, NCBI Genen NCBI Entrez | database, data or information resource | Database for genomes that have been completely sequenced, have active research community to contribute gene-specific information, or that are scheduled for intense sequence analysis. Includes nomenclature, map location, gene products and their attributes, markers, phenotypes, and links to citations, sequences, variation details, maps, expression, homologs, protein domains and external databases. All entries follow NCBI's format for data collections. Content of Entrez Gene represents result of curation and automated integration of data from NCBI's Reference Sequence project (RefSeq), from collaborating model organism databases, and from many other databases available from NCBI. Records are assigned unique, stable and tracked integers as identifiers. Content is updated as new information becomes available. | gene, gene expression, gene location, gene map, gene prediction, genome, genome sequence analysis, phenotype, nomenclature, gene mapping, protein, genetic code, function, annotation, gold standard, bio.tools |
is used by: Animal QTLdb is used by: NIF Data Federation is used by: LIPID MAPS Proteome Database is used by: DisGeNET is used by: Nowomics is used by: Cytokine Registry is used by: Pathway Analysis Tool for Integration and Knowledge Acquisition is used by: Vesiclepedia is listed by: OMICtools is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: Rat Gene Symbol Tracker is related to: Gene Reference into Function is related to: Integrated Molecular Interaction Database is related to: Biomine is related to: SEGS is related to: STOP is related to: Coremine Medical is related to: Consensus CDS is related to: WebGestalt: WEB-based GEne SeT AnaLysis Toolkit is related to: Array Information Library Universal Navigator is related to: biomaRt has parent organization: NCBI works with: Open Regulatory Annotation Database |
PMID:17148475 PMID:21115458 |
Free, Freely available | nif-0000-02801, biotools:entrez_gene, OMICS_01651, r3d100010650 | http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene, http://www.ncbi.nlm.nih.gov/sites/entrez?db=gene, https://bio.tools/entrez_gene, https://doi.org/10.17616/R3603S | SCR_002473 | NCBI Gene, Gene - Gene mapped phenotypes, Gene - Gene and mapped phenotypes, Gene Database, GeneID | 2026-08-06 09:25:40 | 2830 | |||||
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GeneSeer Resource Report Resource Website |
GeneSeer (RRID:SCR_002626) | GeneSeer | database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 14,2026. Database to access gene information through common names and allows identification of homologs and paralogs for a given gene. This publicly available tool leverages public sequence data, gene metadata information, and other publicly available data to calculate and display orthologous and paralogous gene relationships for all genes from several species, including yeasts, insects, worms, vertebrates, mammals, and primates such as humans. | gene, homolog, paralog, genome, search engine, ortholog | PMID:16176584 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156048 | http://katahdin.mssm.edu/geneseer/scripts/main.pl | http://geneseer.cshl.org/ | SCR_002626 | 2026-08-06 09:25:41 | 0 | ||||||
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MAPPER - Multi-genome Analysis of Positions and Patterns of Elements of Regulation Resource Report Resource Website 10+ mentions |
MAPPER - Multi-genome Analysis of Positions and Patterns of Elements of Regulation (RRID:SCR_003077) | MAPPER, MAPPER 2, | service resource, database, data or information resource | A platform composed of three modules: the Database, the Search Engine, and rSNPs, for the computational identification of transcription factor binding sites (TFBSs) in multiple genomes, that combines TRANSFAC and JASPAR data with the search power of profile hidden Markov models (HMMs). The Database contains putative TFBSs found in the upstream sequences of genes from the human, mouse and D.melanogaster genomes. For each gene, they scanned the region from 10,000 base pairs upstream of the transcript start to 50 base pairs downstream of the coding sequence start against all their models. Therefore, the database contains putative binding sites in the gene promoter and in the initial introns and non-coding exons. Information displayed for each putative binding site includes the transcription factor name, its position (absolute on the chromosome, or relative to the gene), the score of the prediction, and the region of the gene the site belongs to. If the selected gene has homologs in any of the other two organisms, the program optionally displays the putative TFBSs in the homologs. The Search Engine allows the identification, visualization and selection of putative TFBSs occurring in the promoter or other regions of a gene from the human, mouse, D.melanogaster, C.elegans or S.cerevisiae genomes. In addition, it allows the user to upload a sequence to query and to build a model by supplying a multiple sequence alignment of binding sites for a transcription factor of interest. rSNPs MAPPER is designed to identify Single Nucleotide Polymorphisms (SNPs) that may have an effect on the presence of one or more TFBSs. | transcription factor binding site, gene promoter, intron, non-coding exon, transcription factor, chromosome, gene, homolog, rsnp, single nucleotide polymorphism, search engine |
is listed by: OMICtools has parent organization: University of Florida; Florida; USA is parent organization of: rSNPs MAPPER |
PMID:15608292 PMID:15799782 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01877, nif-0000-03101 | http://bio.chip.org/mapper | SCR_003077 | Multi-genome Analysis of Positions and Patterns of Elements of Regulation, MAPPER 2 - Multi-genome Analysis of Positions and Patterns of Elements of Regulation, MAPPER database | 2026-08-06 09:25:47 | 11 | |||||
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Human Experimental/FunctionAL MaPper: Providing Functional Maps of the Human Genome Resource Report Resource Website |
Human Experimental/FunctionAL MaPper: Providing Functional Maps of the Human Genome (RRID:SCR_003506) | HEFalMp | service resource, database, data or information resource | HEFalMp (Human Experimental/FunctionAL MaPper) is a tool developed by Curtis Huttenhower in Olga Troyanskaya's lab at Princeton University. It was created to allow interactive exploration of functional maps. Functional mapping analyzes portions of these networks related to user-specified groups of genes and biological processes and displays the results as probabilities (for individual genes), functional association p-values (for groups of genes), or graphically (as an interaction network). HEFalMp contains information from roughly 15,000 microarray conditions, over 15,000 publications on genetic and physical protein interactions, and several types of DNA and protein sequence analyses and allows the exploration of over 200 H. sapiens process-specific functional relationship networks, including a global, process-independent network capturing the most general functional relationships. Looking to download functional maps? Keep an eye on the bottom of each page of results: every functional map of any kind is generated with a Download link at the bottom right. Most functional maps are provided as tab-delimited text to simplify downstream processing; graphical interaction networks are provided as Support Vector Graphics files, which can be viewed using the Adobe Viewer, any recent version of Firefox, or the excellent open source Inkscape tool. | human, map, gene, functional, pathway, disease, genomic, analysis, microarray, dna, protein, sequence | has parent organization: Princeton University; New Jersey; USA | New Jersey Commission on Cancer Research ; PhRMA Foundation 2007RSGl9572; NIGMS R01 GM071966; NSF DBI-0546275; NSF IIS-0513552; NHGRI T32 HG003284; NIGMS P50 GM071508 |
PMID:19246570 | nif-0000-37186 | SCR_003506 | Human Experimental / FunctionAL MaPper, Human Experimental/FunctionAL MaPper | 2026-08-06 09:25:54 | 0 | ||||||
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GeneFisher Resource Report Resource Website 10+ mentions |
GeneFisher (RRID:SCR_003060) | GeneFisher, GeneFisher2 | data analysis service, production service resource, analysis service resource, service resource | A web-based program for designing degenerate primers. The procedure leads to isolation of genes in a target organism using multiple alignments of related genes from different organisms. The term gene fishing refers to the technique where PCR is used to isolate a postulated but unknown target sequence from a pool of DNA. | primer design, gene, degenerate primer, degenerate, primer, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Bielefeld University; North Rhine-Westphalia; Germany |
PMID:8877506 | Free, Freely available | biotools:genefisher, OMICS_02341 | https://bio.tools/genefisher | SCR_003060 | GeneFisher2 - Interactive PCR Primer Design | 2026-08-06 09:25:47 | 37 |
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