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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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VectorBase Resource Report Resource Website 500+ mentions |
VectorBase (RRID:SCR_005917) | VectorBase | data repository, data or information resource, database, storage service resource, service resource | Bioinformatics Resource Center for invertebrate vectors. Provides web-based resources to scientific community conducting basic and applied research on organisms considered potential agents of biowarfare or bioterrorism or causing emerging or re-emerging diseases. | blast, clustalw, hmmer, vector, genomics, genome, sequence, population, insecticide resistance, annotation, microarray, gene expression, anatomy, pathogen, human, transcript, transcriptome, protein, proteome, mitochondria sequence, bioinformatics resource center, pathogen, arthropoda, vector control, ontology, software, source code, mitochondrial sequence, data analysis service, image collection, FASEB list |
is recommended by: National Library of Medicine is listed by: re3data.org is related to: Clustal W2 is related to: AnoBase: An Anopheles database is related to: Hmmer has parent organization: European Bioinformatics Institute has parent organization: University of Notre Dame; Indiana; USA |
NIAID ; Evimalar network of excellence 242095; INFRAVEC 228421; European Union |
PMID:22135296 PMID:19028744 PMID:18262474 PMID:18237287 PMID:17145709 |
Restricted | nif-0000-03624, r3d100010880 | https://doi.org/10.17616/R3CK6B | SCR_005917 | VectorBase - Bioinformatics Resource for Invertebrate Vectors of Human Pathogens, VectorBase, vector base | 2026-08-03 09:32:58 | 835 | ||||
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Roth Laboratory Resource Report Resource Website 1+ mentions |
Roth Laboratory (RRID:SCR_005711) | Roth Lab | organization portal, laboratory portal, portal, data or information resource, software resource | The Roth Laboratory is designing and interpreting large-scale experiments to understand pathway structure and its relationship to phenotype and human disease. Software for research focused on a specific research goal is available. Current experimental interests: * Exploiting parallel sequencing technology to phenotype all pairwise gene deletion combinations in S. cerevisiae, with initial application to genes involved in transcription. * Generation of S. cerevisiae strains carrying dozens of chosen targeted deletions, with initial application to delete all ABC transporters imparting multidrug resistance. * Targeted insertion of gene sets encoding entire human pathways into S. cerevisiae, with initial application to genes involved in drug metabolism. Current computational interests: * Systematic analysis of genetic interaction to reveal redundant systems and order of action in genetic pathways * Integrating large-scale studies - including phenotype, genetic epistasis, protein-protein and transcription-regulatory interactions and sequence patterns - to quantitatively assign function to genes and guide experimentation and disease association studies. * Alternative splicing and its relationship to protein interaction networks. | gene, pathway, phenotype, disease, transcription, drug metabolism, drug, metabolism, protein-protein interaction, transcription-regulatory interaction, protein interaction, protein |
has parent organization: University of Toronto; Ontario; Canada has parent organization: Harvard Medical School; Massachusetts; USA is parent organization of: FuncAssociate: The Gene Set Functionator |
nlx_149163 | http://llama.med.harvard.edu | SCR_005711 | 2026-08-03 09:32:55 | 5 | ||||||||
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InterProScan Resource Report Resource Website 5000+ mentions |
InterProScan (RRID:SCR_005829) | production service resource, data analysis service, web service, software application, data processing software, data analysis software, analysis service resource, data access protocol, service resource, software resource | Software package for functional analysis of sequences by classifying them into families and predicting presence of domains and sites. Scans sequences against InterPro's signatures. Characterizes nucleotide or protein function by matching it with models from several different databases. Used in large scale analysis of whole proteomes, genomes and metagenomes. Available as Web based version and standalone Perl version and SOAP Web Service. | functional, analysis, sequence, protein, nucleotide, predict, presence, domain, site, proteome, genome, metagenome, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: bio.tools is listed by: Debian is listed by: SoftCite is related to: Gene Ontology is related to: RARTF is related to: InterPro is related to: LegumeIP is related to: UniProtKB has parent organization: European Bioinformatics Institute |
European Union ; Biotechnology and Biological Sciences Research Council ; EMBL |
PMID:15980438 PMID:17202162 PMID:24451626 |
Free, Available for download, Freely available | OMICS_01479, biotools:interproscan_4, nlx_149337 | https://www.ebi.ac.uk/interpro/download.html, https://bio.tools/interproscan_4 | SCR_005829 | InterProScan Sequence Search, InterProScan 2, InterProScan 3, InterProScan 4, InterProScan 5 | 2026-08-03 09:32:57 | 6936 | |||||
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GeneMANIA Resource Report Resource Website 1000+ mentions |
GeneMANIA (RRID:SCR_005709) | GeneMANIA | production service resource, data analysis service, data or information resource, database, analysis service resource, service resource, software resource | Data analysis service to predict the function of your favorite genes and gene sets. Indexing 1,421 association networks containing 266,984,699 interactions mapped to 155,238 genes from 7 organisms. GeneMANIA interaction networks are available for download in plain text format. GeneMANIA finds other genes that are related to a set of input genes, using a very large set of functional association data. Association data include protein and genetic interactions, pathways, co-expression, co-localization and protein domain similarity. You can use GeneMANIA to find new members of a pathway or complex, find additional genes you may have missed in your screen or find new genes with a specific function, such as protein kinases. Your question is defined by the set of genes you input. If members of your gene list make up a protein complex, GeneMANIA will return more potential members of the protein complex. If you enter a gene list, GeneMANIA will return connections between your genes, within the selected datasets. GeneMANIA suggests annotations for genes based on Gene Ontology term enrichment of highly interacting genes with the gene of interest. GeneMANIA is also a gene recommendation system. GeneMANIA is also accessible via a Cytoscape plugin, designed for power users. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, association data, protein interaction, genetic interaction, pathway, co-expression, co-localization, protein, software library, statistical analysis, term enrichment, analysis, browser, gene ontology, gene predicting, gene prioritization, database or data warehouse, other analysis, interaction browser, protein-protein interaction, interaction, FASEB list |
is listed by: Gene Ontology Tools is related to: Cytoscape is related to: Gene Ontology is related to: PSICQUIC Registry has parent organization: University of Toronto; Ontario; Canada |
Genome Canada ; Ontario Ministry of Research and Innovation 2007-OGI-TD-05 |
PMID:20576703 PMID:18613948 PMID:20926419 |
Open unspecified license, Free for academic use | nlx_149159, r3d100013978 | https://doi.org/10.17616/R31NJNA2 | SCR_005709 | 2026-08-03 09:32:55 | 3358 | |||||
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Whatizit Resource Report Resource Website 1+ mentions |
Whatizit (RRID:SCR_005824) | Whatizit | production service resource, data analysis service, web service, analysis service resource, data access protocol, service resource, software resource | A text processing system that allows you to do textmining tasks on text. It is great at identifying molecular biology terms and linking them to publicly available databases. Whatizit is also a Medline abstracts retrieval/search engine. Instead of providing the text by Copy&Paste, you can launch a Medline search. The abstracts that match your search criteria are retrieved and processed by a pipeline of your choice. Whatizit is also available as 1) a webservice and as 2) a streamed servlet. The webservice allows you to enrich content within your website in a similar way as in the wikipedia. The streamed servlet allows you to process large amounts of text. | textual analysis, protein, gene, gene ontology, text-mining, annotation, literature analysis |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology is related to: UniProt is related to: MEDLINE is related to: NCBI Taxonomy has parent organization: European Bioinformatics Institute |
Free for academic use | OMICS_01200, nlx_149329 | http://www.ebi.ac.uk/webservices/whatizit | SCR_005824 | 2026-08-03 09:32:56 | 8 | |||||||
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Distributed Annotation System Resource Report Resource Website 10+ mentions |
Distributed Annotation System (RRID:SCR_008427) | narrative resource, data or information resource, software resource, standard specification | The Distributed Annotation System (DAS) defines a communication protocol used to exchange annotations on genomic or protein sequences. It is motivated by the idea that such annotations should not be provided by single centralized databases, but should instead be spread over multiple sites. Data distribution, performed by DAS servers, is separated from visualization, which is done by DAS clients. The advantages of this system are that control over the data is retained by data providers, data is freed from the constraints of specific organisations and the normal issues of release cycles, API updates and data duplication are avoided. DAS is a client-server system in which a single client integrates information from multiple servers. It allows a single machine to gather up sequence annotation information from multiple distant web sites, collate the information, and display it to the user in a single view. Little coordination is needed among the various information providers. DAS is heavily used in the genome bioinformatics community. Over the last years we have also seen growing acceptance in the protein sequence and structure communities. A DAS-enabled website or application can aggregate complex and high-volume data from external providers in an efficient manner. For the biologist, this means the ability to plug in the latest data, possibly including a user''s own data. For the application developer, this means protection from data format changes and the ability to add new data with minimal development cost. Here are some examples of DAS-enabled applications or websites for end users: :- Dalliance Experimental Web/Javascript based Genome Viewer :- IGV Integrative Genome Viewer java based browser for many genomes :- Ensembl uses DAS to pull in genomic, gene and protein annotations. It also provides data via DAS. :- Gbrowse is a generic genome browser, and is both a consumer and provider of DAS. :- IGB is a desktop application for viewing genomic data. :- SPICE is an application for projecting protein annotations onto 3D structures. :- Dasty2 is a web-based viewer for protein annotations :- Jalview is a multiple alignment editor. :- PeppeR is a graphical viewer for 3D electron microscopy data. :- DASMI is an integration portal for protein interaction data. :- DASher is a Java-based viewer for protein annotations. :- EpiC presents structure-function summaries for antibody design. :- STRAP is a STRucture-based sequence Alignment Program. Hundreds of DAS servers are currently running worldwide, including those provided by the European Bioinformatics Institute, Ensembl, the Sanger Institute, UCSC, WormBase, FlyBase, TIGR, and UniProt. For a listing of all available DAS sources please visit the DasRegistry. Sponsors: The initial ideas for DAS were developed in conversations with LaDeana Hillier of the Washington University Genome Sequencing Center. | annotation, database, software, genomic, protein, sequence, visualization, data, client-server, integration, bioinformatics, genome, structure, data integration |
is listed by: 3DVC has parent organization: Uppsala University; Uppsala; Sweden |
Howard Hughes Medical Institute ; NHGRI 2-P01-HG00956 |
nif-0000-30177 | SCR_008427 | BioDAS | 2026-08-03 09:34:06 | 11 | ||||||||
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MODELLER Resource Report Resource Website 5000+ mentions |
MODELLER (RRID:SCR_008395) | portal, software application, topical portal, simulation software, data or information resource, software resource | Software tool as Program for Comparative Protein Structure Modelling by Satisfaction of Spatial Restraints. Used for homology or comparative modeling of protein three dimensional structures. User provides alignment of sequence to be modeled with known related structures and MODELLER automatically calculates model containing all non hydrogen atoms. | comparative, protein, structure, modelling, satisfaction, spatial, restrain, homology, 3D, alignment, sequence, hydrogen, atom, cluster |
is listed by: SoftCite has parent organization: University of California at San Francisco; California; USA |
Sandler Family Supporting Foundation ; NIGMS R01 GM54762; NIGMS P01 GM71790; NIH P01 A135707; NIGMS U54 GM62529; IBM ; Intel |
Restricted | nif-0000-30054 | SCR_008395 | 2026-08-03 09:34:02 | 5736 | ||||||||
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MoonProt Resource Report Resource Website 10+ mentions |
MoonProt (RRID:SCR_008803) | organization portal, data or information resource, laboratory portal, portal | The moonlighting protein database is not yet available publicly. Stay tuned. Moonlighting proteins have multiple, seemingly unrelated functions not due to gene fusions or alternative splicing. Like PGI, which is a cytosolic enzyme and an extracellular cytokine, dozens of other proteins have been found to moonlight. Connie coined the term moonlighting proteins and has written several review articles that develop the idea of moonlighting proteins and describe additional moonlighting proteins from the literature, how they switch between functions, how they might have evolved, and how they might benefit the cell. She is currently writing two additional invited articles and planning computational studies of the sequences and structures of known moonlighting proteins. | protein, multifunctional protein, double functional protein, protein database | has parent organization: University of Illinois at Chicago; Illinois; USA | PMID:12902157 | nlx_144357 | SCR_008803 | Moonlighting proteins database | 2026-08-03 09:33:57 | 27 | ||||||||
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TopFIND Resource Report Resource Website 10+ mentions |
TopFIND (RRID:SCR_008918) | TopFIND | data repository, data or information resource, database, storage service resource, service resource | An integrated knowledgebase focused on protein termini, their formation by proteases and functional implications. It contains information about the processing and the processing state of proteins and functional implications thereof derived from research literature, contributions by the scientific community and biological databases. It lists more than 120,000 N- and C-termini and almost 10,000 cleavages. TopFIND is a resource for comprehensive coverage of protein N- and C-termini discovered by all available in silico, in vitro as well as in vivo methodologies. It makes use of existing knowledge by seamless integration of data from UniProt and MEROPS and provides access to new data from community submission and manual literature curating. It renders modifications of protein termini, such as acetylation and citrulination, easily accessible and searchable and provides the means to identify and analyse extend and distribution of terminal modifications across a protein. The data is presented to the user with a strong emphasis on the relation to curated background information and underlying evidence that led to the observation of a terminus, its modification or proteolytic cleavage. In brief the protein information, its domain structure, protein termini, terminus modifications and proteolytic processing of and by other proteins is listed. All information is accompanied by metadata like its original source, method of identification, confidence measurement or related publication. A positional cross correlation evaluation matches termini and cleavage sites with protein features (such as amino acid variants) and domains to highlight potential effects and dependencies in a unique way. Also, a network view of all proteins showing their functional dependency as protease, substrate or protease inhibitor tied in with protein interactions is provided for the easy evaluation of network wide effects. A powerful yet user friendly filtering mechanism allows the presented data to be filtered based on parameters like methodology used, in vivo relevance, confidence or data source (e.g. limited to a single laboratory or publication). This provides means to assess physiological relevant data and to deduce functional information and hypotheses relevant to the bench scientist. TopFIND PROVIDES: * Integration of protein termini with proteolytic processing and protein features * Displays proteases and substrates within their protease web including detailed evidence information * Fully supports the Human Proteome Project through search by chromosome location CONTRIBUTE * Submit your N- or C-termini datasets * Contribute information on protein cleavages * Provide detailed experimental description, sample information and raw data | protein, n-termini, c-termini, protease, protein cleavage, proteomics, cleavage site, terminus, modification, proteolytic processing, protein function, domain structure, protein termini, terminus modification, protease, substrate, protease inhibitor, protein interaction, protein-protein interaction, interaction, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: UniProtKB is related to: PSICQUIC Registry is related to: MEROPS has parent organization: University of British Columbia; British Columbia; Canada |
Canadian Institutes of Health Research ; Cancer Research Society ; British Columbia Proteomics Network ; Metalloproteinase Proteomics and Systems Biology ; Michael Smith Foundation for Health Research ; Breast Cancer Society of Canada ; Alexander von Humboldt-Stiftung ; BMBF ; German Academic Exchange Service |
PMID:22102574 PMID:21822272 |
Public, Acknowledgement requested | biotools:topfind, r3d100012721, nlx_151607 | https://bio.tools/topfind, https://doi.org/10.17616/R3KB8J, https://doi.org/10.17616/R3KB8J | SCR_008918 | Termini oriented protein Function Inferred Database | 2026-08-03 09:34:10 | 29 | ||||
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PDBj - Protein Data Bank Japan Resource Report Resource Website 10+ mentions |
PDBj - Protein Data Bank Japan (RRID:SCR_008912) | PDBj | data repository, data or information resource, database, storage service resource, service resource | PDBj (Protein Data Bank Japan) maintains a centralized PDB archive of macromolecular structures and provides integrated tools, in collaboration with the RCSB, the BMRB in USA and the PDBe in EU. | protein, macromolecule, structure, sequence, ligand, binding site, nmr, molecule, gold standard |
is recommended by: NIDDK Information Network (dkNET) is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: Worldwide Protein Data Bank (wwPDB) is related to: PDBe - Protein Data Bank in Europe is related to: Biological Magnetic Resonance Data Bank (BMRB) is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: Osaka University; Osaka; Japan |
Japan Science and Technology Agency ; NBDC - National Bioscience Database Center |
PDB data, Text and images are free of all copyright restrictions. You can use them free of charge. When you reprint or cite them, Please also cite us as follows: Protein Data Bank Japan (PDBj) Please also see Terms of Use page. | nlx_151484, r3d100010910 | https://doi.org/10.17616/R3RP75, https://doi.org/10.17616/R3RP75 | SCR_008912 | PDBj, Protein Data Bank Japan | 2026-08-03 09:34:15 | 39 | |||||
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Agile Protein Interactomes DataServer Resource Report Resource Website 10+ mentions |
Agile Protein Interactomes DataServer (RRID:SCR_008871) | APID | production service resource, data analysis service, web service, data or information resource, database, analysis service resource, data access protocol, service resource, software resource | APID Interactomes (Agile Protein Interactomes DataServer) provides information on the protein interactomes of numerous organisms, based on the integration of known experimentally validated protein-protein physical interactions (PPIs). The interactome data includes a report on quality levels and coverage over the proteomes for each organism included. APID integrates PPIs from primary databases of molecular interactions (BIND, BioGRID, DIP, HPRD, IntAct, MINT) and also from experimentally resolved 3D structures (PDB) where more than two distinct proteins have been identified. This collection references protein interactors, through a UniProt identifier. | protein, protein interaction, interactions, ppi, interactomes, analysis, gene, ontology, functional, environment, data, network, graphic, visualize |
is listed by: Gene Ontology Tools is related to: PSICQUIC Registry is related to: Gene Ontology is related to: BIND is related to: Biological General Repository for Interaction Datasets (BioGRID) is related to: Database of Interacting Proteins (DIP) is related to: HPRD - Human Protein Reference Database is related to: IntAct is related to: MINT has parent organization: University of Salamanca; Salamanca; Spain |
Spanish Ministerio de Sanidad y Consumo ; Junta de Castilla y Leon |
PMID:27131791 PMID:30715274 |
Free for academic use | r3d100012339, nlx_149321 | https://doi.org/10.17616/R3407P, https://doi.org/10.17616/R3407P | SCR_008871 | Agile Protein Interactomes DataServer, APID, APID Interactomes, Agile Protein Interactomes DataServer (APID), APID (Agile Protein Interactomes DataServer) | 2026-08-03 09:33:58 | 14 | ||||
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Psort Resource Report Resource Website 100+ mentions |
Psort (RRID:SCR_007038) | PSORT | portal, production service resource, data analysis service, service resource, software application, data processing software, topical portal, data analysis software, analysis service resource, data or information resource, software resource, data set | Portal to the PSORT family of computer programs for the prediction of protein localization sites in cells, as well as other datasets and resources relevant to localization prediction. The standalone versions are available for download for larger analyses. | subcellular, localization, prediction, gram, gram-positive, gram-negative, sequence, fasta, protein, protein localization, cell, motif, profile, amino acid, subcellular localization |
is listed by: OMICtools is related to: PSORT II has parent organization: Simon Fraser University; British Columbia; Canada |
OMICS_01634, nif-0000-31883 | http://psort.hgc.jp/ | SCR_007038 | Psort.org, PSORT: Prediction of Protein Sorting Signals and Localization Sites in Amino Acid Sequences | 2026-08-03 09:33:20 | 209 | |||||||
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ProDom Resource Report Resource Website 100+ mentions |
ProDom (RRID:SCR_006969) | ProDom | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | Comprehensive set of protein domain families automatically generated from UniProt Knowledge Database. Automated clustering of homologous domains generated from global comparison of all available protein sequences., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | set, protein, domain, family, automatically, generated, UniProt, database, homologous, sequence, compare, FASEB list |
is listed by: OMICtools is related to: UniProt is related to: InterPro has parent organization: PRABI |
‘Programme de Bio-Informatique InterOrganismes ; Re´seau des Ge´nopoles ; European Union |
PMID:15608179 PMID:12230033 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01698, nif-0000-03342 | http://prodom.prabi.fr/prodom/current/html/home.php | SCR_006969 | 2026-08-03 09:33:18 | 352 | |||||
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Antibiotic Resistance Genes Database Resource Report Resource Website 100+ mentions |
Antibiotic Resistance Genes Database (RRID:SCR_007040) | data computation service, data or information resource, database | The goals of Antibiotic Resistance Genes Database (ARGB) are to provide a centralized compendium of information on antibiotic resistance, to facilitate the consistent annotation of resistance information in newly sequenced organisms, and also to facilitate the identification and characterization of new genes. ARGB contains six types of database groups: - Resistance Type: This database contains information, such as resistance profile, mechanism, requirement, epidemiology for each type. - Resistance Gene: This database contains information, such as resistance profile, resistance type, requirement, protein and DNA sequence for each gene.This database only includes NON-REDUNDANT, NON-VECTOR, COMPLETE genes. - Antibiotic: This database contains information, such as producer, action mechanism, resistance type, for each gene. - Resistance Gene(NonRD): This database contains the same information as Resistance Gene. It does NOT include NON-REDUNDANT, NON-VECTOR genes, but includes INCOMPLETE genes. - Resistance Gene(ALL): This database contains the same information as Resistance Gene. It includes all REDUNDANT, VECTOR AND INCOMPLETE genes. - Resistance Species: This database contains resistance profile and corresponding resistance genes for each species. Furthermore, ARDB also contians three types BLAST database: - Resistance Genes Complete: Contains only NON-REDUNDANT, NON-VECTOR, COMPLETE genes sequences. - Resistance Genes Non-redundant: Contains NON-REDUNDANT, NON-VECTOR, COMPLETE, INCOMPLETE genes sequences. - Resistance Genes All: Contains all REDUNDANT, VECTOR, COMPLETE, INCOMPLETE genes sequences. Lastly, ARDB provides four types of Analytical tools: - Normal BLAST: This function allows an user to input a DNA or protein sequence, and find similar DNA (Nucleotide BLAST) or protein (Protein BLAST) sequences using blastn, blastp, blastx, tblastn, tblastx - RPS BLAST: A web RPSBLAST (RPS BLAST) interface is provided to align a query sequence against the Position Specific Scoring Matrix (PSSM) for each type. Normally, this will give the same annotation information as using regular BLAST mentioned above. - Multiple Sequences BLAST (Genome Annotation): This function allows an user to annotate multiple (less than 5000) query sequences in FASTA format. - Mutation Resistance Identification: This function allows an user to identify mutations that will cause potential antibiotic resistance, for 12 genes (16S rRNA, 23S rRNA, gyrA, gyrB, parC, parE, rpoB, katG, pncA, embB, folP, dfr). ������ :Sponsors: ARDB is funded by Uniformed Services University of the Health Sciences, administered by the Henry Jackson Foundation. : | genome, antibiotic, antibiotic resistance gene, dna, metagenome, mutation resistance, prokaryotic genomic database, protein, FASEB list | has parent organization: University of Maryland; Maryland; USA | nif-0000-02565 | SCR_007040 | ARDB | 2026-08-03 09:33:16 | 109 | |||||||||
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DART - Drug Adverse Reaction Targets Resource Report Resource Website 1+ mentions |
DART - Drug Adverse Reaction Targets (RRID:SCR_007041) | DART | data repository, data or information resource, database, storage service resource, service resource | Database that provides comprehensive information about adverse effect targets of drugs described in the literature, including information about known drug adverse reaction targets, functions and properties. Moreover, proteins involved in adverse effect targets of chemicals not yet confirmed as adverse drug reaction (ADR) targets are also included as potential targets. Associated references are also included. This database gives physiological function of each target, binding drugs / agonists / antagonists / activators / inhibitors, IC(50) values of the inhibitors, corresponding adverse effects, and type of ADR induced by drug binding to a target. Cross-links to other databases are also introduced to facilitate the access of information about the sequence, 3-dimensional structure, function, and nomenclature of each target along with drug/ligand binding properties, and related literature. Each entry can be retrieved through multiple search methods including target name, target physiological function, adverse effect, ligand name, and biological pathways. A special page is provided for contribution of new or additional information. Function for ADR-target prediction by SVMDART: Submit protein primary sequence for ADR-related protein prediction. | drug, drug target, evaluation, adverse drug reaction, adverse reaction, agonist, antagonist, binding, ic value, inhibitor, ligand binding property, ligand, physiological function, protein prediction, protein, protein target, target, type, toxicity, data analysis service, toxic | has parent organization: National University of Singapore; Singapore; Singapore | PMID:12862503 | Non-commercial use, The community can contribute to this resource | nif-0000-02720 | SCR_007041 | 2026-08-03 09:33:20 | 2 | |||||||
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Tetraodon Genome Browser Resource Report Resource Website 1+ mentions |
Tetraodon Genome Browser (RRID:SCR_007079) | topical portal, data or information resource, database, portal | The initial objective of Genoscope was to compare the genomic sequences of this fish to that of humans to help in the annotation of human genes and to estimate their number. This strategy is based on the common genetic heritage of the vertebrates: from one species of vertebrate to another, even for those as far apart as a fish and a mammal, the same genes are present for the most part. In the case of the compact genome of Tetraodon, this common complement of genes is contained in a genome eight times smaller than that of humans. Although the length of the exons is similar in these two species, the size of the introns and the intergenic sequences is greatly reduced in this fish. Furthermore, these regions, in contrast to the exons, have diverged completely since the separation of the lineages leading to humans and Tetraodon. The Exofish method, developed at Genoscope, exploits this contrast such that the conserved regions which can be identified by comparing genomic sequences of the two species, correspond only to coding regions. Using preliminary sequencing results of the genome of Tetraodon in the year 2000, Genoscope evaluated the number of human genes at about 30,000, whereas much higher estimations were current. The progress of the annotation of the human genome has since supported the Genoscope hypothesis, with values as low as 22,000 genes and a consensus of around 25,000 genes. The sequencing of the Tetraodon genome at a depth of about 8X, carried out as a collaboration between Genoscope and the Whitehead Institute Center for Genome Research (now the Broad Institute), was finished in 2002, with the production of an assembly covering 90 of the euchromatic region of the genome of the fish. This has permitted the application of Exofish at a larger scale in comparisons with the genome of humans, but also with those of the two other vertebrates sequenced at the time (Takifugu, a fish closely related to Tetraodon, and the mouse). The conserved regions detected in this way have been integrated into the annotation procedure, along with other resources (cDNA sequences from Tetraodon and ab initio predictions). Of the 28,000 genes annotated, some families were examined in detail: selenoproteins, and Type 1 cytokines and their receptors. The comparison of the proteome of Tetraodon with those of mammals has revealed some interesting differences, such as a major diversification of some hormone systems and of the collagen molecules in the fish. A search for transposable elements in the genomic sequences of Tetraodon has also revealed a high diversity (75 types), which contrasts with their scarcity; the small size of the Tetraodon genome is due to the low abundance of these elements, of which some appear to still be active. Another factor in the compactness of the Tetraodon genome, which has been confirmed by annotation, is the reduction in intron size, which approaches a lower limit of 50-60 bp, and which preferentially affects certain genes. The availability of the sequences from the genomes of humans and mice on one hand, and Takifugu and Tetraodon on the other, provide new opportunities for the study of vertebrate evolution. We have shown that the level of neutral evolution is higher in fish than in mammals. The protein sequences of fish also diverge more quickly than those of mammals. A key mechanism in evolution is gene duplication, which we have studied by taking advantage of the anchoring of the majority of the sequences from the assembly on the chromosomes. The result of this study speaks strongly in favor of a whole genome duplication event, very early in the line of ray-finned fish (Actinopterygians). An even stronger evidence came from synteny studies between the genomes of humans and Tetraodon. Using a high-resolution synteny map, we have reconstituted the genome of the vertebrate which predates this duplication - that is, the last common ancestor to all bony vertebrates (most of the vertebrates apart from cartilaginous fish and agnaths like lamprey). This ancestral karyotype contains 12 chromosomes, and the 21 Tetraodon chromosomes derive from it by the whole genome duplication and a surprisingly small number of interchromosomal rearrangements. On the contrary, exchanges between chromosomes have been much more frequent in the lineage that leads to humans. Sponsors: The project was supported by the Consortium National de Recherche en Genomique and the National Human Genome Research Institute. | duplication, element, euchromatic, evolution, exon, fish, gene, genetic, actinopterygians, aganth, ancestor, cartilaginous, cdna, chromosome, coding, collagen, cytokine, diversity, genome, genomic, heritage, hormone, human, interchromossomal, intergenic, intron, karyotype, lineage, mammal, molecule, mouse, nigroviridis, protein, proteome, pufferfish, receptor, region, selenoprotein, sequence, size, specie, synteny, system, takifugu, tetraodon, transposable, vertebrate | nif-0000-20997 | SCR_007079 | TGB | 2026-08-03 09:33:18 | 8 | ||||||||||
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LifeDB Resource Report Resource Website 1+ mentions |
LifeDB (RRID:SCR_006899) | LifeDB | image collection, data or information resource, database | Database that integrates large-scale functional genomics assays and manual cDNA annotation with bioinformatics gene expression and protein analysis. LifeDB integrates data regarding full length cDNA clones and data on expression of encoded protein and their subcellular localization on mammalian cell line. LifeDB enables the scientific community to systematically search and select genes, proteins as well as cDNA of interest by specific database identifiers as well as gene name. It enables to visualize cDNA clone and subcellular location of proteins. It also links the results to external biological databases in order to provide a broader functional information. LifeDB also provides an annotation pipeline which facilitates an improved mapping of clones to known human reference transcripts from the RefSeq database and the Ensembl database. An advanced web interface enables the researchers to view the data in a more user friendly manner. Users can search using any one of the following search options available both in Search gene and cDNA clones and Search Sub-cellular locations of human proteins: By Keyword, By gene/transcript identifier, By plate name, By clone name, By cellular location. * The Search genes and cDNA clones results include: Gene Name, Ensemble ID, Genomic Region, Clone name, Plate name, Plate position, Classification class, Synonymous SNP''s, Non- synonymous SNP''s, Number of ambiguous positions, and Alignment with reference genes. * The Search sub-cellular locations of human proteins results include: Subcellular location, Gene Name, Ensemble ID, Clone name, True localization, Images, Start tag and End tag. Every result page has an option to download result data (excluding the microscopy images). On click of ''Download results as CSV-file'' link in the result page the user will be given a choice to open or save result data in form of a CSV (Comma Separated Values) file. Later the CSV file can be easily opened using Excel or OpenOffice. | human, protein, gene, cdna clone, subcellular, open reading frame, functional genomics | has parent organization: German Cancer Research Center | BMBF 01GR0101; BMBF 01GR0420; European Union grant 503438 |
PMID:16381901 PMID:14681468 |
nif-0000-03081 | SCR_006899 | 2026-08-03 09:33:12 | 1 | |||||||
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CD-HIT Resource Report Resource Website 1000+ mentions |
CD-HIT (RRID:SCR_007105) | CD-HIT | software resource, source code, software application, data processing software | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software program for clustering biological sequences with many applications in various fields such as making non-redundant databases, finding duplicates, identifying protein families, filtering sequence errors and improving sequence assembly etc. It is very fast and can handle extremely large databases. CD-HIT helps to significantly reduce the computational and manual efforts in many sequence analysis tasks and aids in understanding the data structure and correct the bias within a dataset. The CD-HIT package has CD-HIT, CD-HIT-2D, CD-HIT-EST, CD-HIT-EST-2D, CD-HIT-454, CD-HIT-PARA, PSI-CD-HIT, CD-HIT-OTU and over a dozen scripts. * CD-HIT (CD-HIT-EST) clusters similar proteins (DNAs) into clusters that meet a user-defined similarity threshold. * CD-HIT-2D (CD-HIT-EST-2D) compares 2 datasets and identifies the sequences in db2 that are similar to db1 above a threshold. * CD-HIT-454 identifies natural and artificial duplicates from pyrosequencing reads. * CD-HIT-OTU cluster rRNA tags into OTUs The usage of other programs and scripts can be found in CD-HIT user''s guide. CD-HIT was originally developed by Dr. Weizhong Li at Dr. Adam Godzik''s Lab at the Burnham Institute (now Sanford-Burnham Medical Research Institute)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | cluster, protein, sequence, classification, domain, analysis, nucleotide sequence, dna, protein sequence, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is listed by: OMICtools has parent organization: University of California at San Diego; California; USA has parent organization: Google Code is parent organization of: CD-HIT-OTU |
NCRR 1R01RR025030 | PMID:20053844 PMID:16731699 DOI:10.1093/bioinformatics/btl158 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_05157, biotools:cd-hit, nif-0000-30240 | http://cd-hit.org, https://code.google.com/p/cdhit/, https://bio.tools/cd-hit, https://sources.debian.org/src/cd-hit/ | http://bioinformatics.ljcrf.edu/cd-hi/ |
SCR_007105 | CD-HIT Program | 2026-08-03 09:33:16 | 3203 | |||
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HCV Immunology Database Resource Report Resource Website 1+ mentions |
HCV Immunology Database (RRID:SCR_007086) | HCV Immunology Database | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | The HCV Immunology Database contains a curated inventory of immunological epitopes in HCV and their interaction with the immune system, with associated retrieval and analysis tools. The funding for the HCV database project has stopped, and this website and the HCV immunology database are no longer maintained. The site will stay up, but problems will not be fixed. The database was last updated in September 2007. The HIV immunology website contains the same tools, and may be usable for non-HCV-specific analyses. For new epitope information, users of this database can try the Immuno Epitope Database (http://www.immuneepitope.org). | epitope, immune system, hepatitis c virus, hepatitis c, immunology, t cell, protein, alignment, antibody, binding site | has parent organization: HCV Databases | Hepatitis C | NIAID | PMID:16309340 | The data and some of the HCV database tools are available for download for non-commercial use. | nlx_151412 | SCR_007086 | Los Alamos Hepatitis C Immunology Database, Hepatitis C Virus Immunology Database, Hepatitis C Immunology Database | 2026-08-03 09:33:21 | 5 | ||||
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Biological General Repository for Interaction Datasets (BioGRID) Resource Report Resource Website 1000+ mentions |
Biological General Repository for Interaction Datasets (BioGRID) (RRID:SCR_007393) | BioGRID | data or information resource, database | Curated protein-protein and genetic interaction repository of raw protein and genetic interactions from major model organism species, with data compiled through comprehensive curation efforts. | budding yeast, fission yeast, protein, gene, protein interaction, genetic interaction, model organism, interaction, dataset, gene annotation, phenotype, orthologous interaction, yeast, cellular interaction network, physical interaction, protein-peptide, protein-rna, protein-protein interaction, genetics, publication, raw protein, genetic interaction, web service, pathway, network, biology, gene mapping, statistics, bio.tools, FASEB list |
is used by: NIF Data Federation is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org is listed by: OMICtools is listed by: DataCite is listed by: NIH Data Sharing Repositories is listed by: bio.tools is listed by: Debian is related to: TissueNet - The Database of Human Tissue Protein-Protein Interactions is related to: Pathway Commons is related to: Cytoscape is related to: Interaction Reference Index is related to: ConsensusPathDB is related to: FlyMine is related to: IMEx - The International Molecular Exchange Consortium is related to: Integrated Molecular Interaction Database is related to: PSICQUIC Registry is related to: PSI-MI is related to: NIH Data Sharing Repositories is related to: Agile Protein Interactomes DataServer is related to: Integrated Manually Extracted Annotation has parent organization: Princeton University; New Jersey; USA has parent organization: University of Edinburgh; Scotland; United Kingdom has parent organization: University of Montreal; Quebec; Canada works with: IMEx - The International Molecular Exchange Consortium |
NCRR R01 RR024031; NHGRI HG02223; Canadian Institutes of Health Research ; BBSRC ; NIH Office of the Director R24 OD011194 |
PMID:23203989 PMID:21071413 PMID:16381927 PMID:12620108 |
Free, Freely available | nif-0000-00432, r3d100010350, OMICS_01901, biotools:the_grid | https://orip.nih.gov/comparative-medicine/programs/genetic-biological-and-information-resources, https://bio.tools/the_grid, https://doi.org/10.17616/R34C7G | SCR_007393 | , BioGRID, Biological General Repository for Interaction Datasets | 2026-08-03 09:33:22 | 2554 |
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