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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Collecting Duct Database Resource Report Resource Website |
Collecting Duct Database (RRID:SCR_000759) | CDDB | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. This database is intended to serve as a learning tool to obtain curated information for the design of microarray targets to scan collecting duct tissues (human, rat, mouse). The database focuses on regulatory and transporter proteins expressed in the collecting duct, but when collecting duct proteins are a member of a larger family of proteins, common additional members of the family are included even if they have not been demonstrated to be expressed in the collecting duct. An Internet-accessible database has been devised for major collecting duct proteins involved in transport and regulation of cellular processes. The individual proteins included in this database are those culled from literature searches and from previously published studies involving cDNA arrays and serial analysis of gene expression (SAGE). Design of microarray targets for the study of kidney collecting duct tissues is facilitated by the database, which includes links to curated base pair and amino acid sequence data, relevant literature, and related databases. Use of the database is illustrated by a search for water channel proteins, aquaporins, and by a subsequent search for vasopressin receptors. Links are shown to the literature and to sequence data for human, rat, and mouse, as well as to relevant web-based resources. Extension of the database is dynamic and is done through a maintenance interface. This permits creation of new categories, updating of existing entries, and addition of new ones. CDDB is a database that organizes lists of genes found in collecting duct tissues from three mammalian species: human, rat, and mouse. Proteins are divided into categories by family relationships and functional classification, and each category is assigned a section in the database. Each section includes links to the literature and to sequence information for genes, proteins, expressed sequence tags, and related information. The user can peruse a section or use a search engine at the bottom of the web page to search the database for a name or abbreviation or for a link to a sequence. Each entry in the database includes links to relevant papers in the kidney and collecting duct literature. It uses links to PubMed to generate MEDLINE searches for retrieval of references. In addition, each entry includes links to curated sequence data available in LocusLink. Individual links are made to sequence and protein data for human, rat, and mouse. Links are then added as curated sequences become available for proteins identified in the renal collecting duct and for proteins identified in kidney and similar in function or homologous to proteins identified in the collecting duct. | expressed sequence tag, expression, family, functional, gene, aquaporin, array, cdna, classification, collecting duct, homologous, human, kidney, literature, mammal, mammalian, microarray, mouse, protein, protein localization and targeting databases, rat, receptor, regulatory, relationship, scan, serial analysis, specie, target, tissue, transporter, vasopressin, water channel protein | has parent organization: National Institutes of Health | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21078 | SCR_000759 | Collecting Duct Database | 2026-02-14 02:06:02 | 0 | |||||||
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MS Bioworks Resource Report Resource Website |
MS Bioworks (RRID:SCR_001043) | data analysis service, production service resource, service resource, analysis service resource | A protein mass spectrometry service provider that delivers data to industrial and government organizations as well as academic institutions. Protein services include protein identification, mapping, profiling, and mass measurement. Post-translational modification services include PTM profiling, phospho-screening, and glyco-screening. Quantitative proteomics services include workflows for label free, TMT, SILAC, and PRM. MS Bioworks also provides immunoprecipitated protein analysis and custom analysis. | mass spectrometry, protein, data, biomarkers, glycoproteins, proteomics service, analysis service resource, post translational modification, quantitative proteomics | is listed by: ScienceExchange | Services available for purchase | SciEx_4856 | http://www.scienceexchange.com/facilities/ms-bioworks | SCR_001043 | MS Bioworks - Protein Mass Spectrometry Services | 2026-02-14 02:06:00 | 0 | |||||||
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BLASTP Resource Report Resource Website 100+ mentions |
BLASTP (RRID:SCR_001010) | data analysis service, production service resource, service resource, analysis service resource | Data analysis service whose programs search protein databases using a protein query. The algorithms used include blastp, psi-blast, phi-blast, and delta-blast. | blast, basic local alignment search tool, protein alignment, protein blast, data analysis service, protein |
is used by: Open Reading Frame Finder is listed by: OMICtools is listed by: SoftCite has parent organization: NCBI |
Freely available, Acknowledgement requested | OMICS_00991 | SCR_001010 | blastp suite, Standard Protein BLAST | 2026-02-14 02:05:44 | 286 | ||||||||
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WegoLoc Resource Report Resource Website 1+ mentions |
WegoLoc (RRID:SCR_001402) | WegoLoc | data analysis service, production service resource, service resource, analysis service resource | Data analysis service that predicts protein subcellular localizations of animal, fungal, plant, and human proteins based on sequence similarity and gene ontology information. | subcellular localization, protein |
is listed by: OMICtools is related to: Gene Ontology |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01636 | SCR_001402 | weighted gene ontology term based subcellular locallization prediction | 2026-02-14 02:05:44 | 4 | |||||||
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MINT Resource Report Resource Website 1000+ mentions |
MINT (RRID:SCR_001523) | MINT | data or information resource, database | A database that focuses on experimentally verified protein-protein interactions mined from the scientific literature by expert curators. The curated data can be analyzed in the context of the high throughput data and viewed graphically with the MINT Viewer. This collection of molecular interaction databases can be used to search for, analyze and graphically display molecular interaction networks and pathways from a wide variety of species. MINT is comprised of separate database components. HomoMINT, is an inferred human protein interatction database. Domino, is database of domain peptide interactions. VirusMINT explores the interactions of viral proteins with human proteins. The MINT connect viewer allows you to enter a list of proteins (e.g. proteins in a pathway) to retrieve, display and download a network with all the interactions connecting them. | protein-protein interaction, protein, interaction, virus, peptide, organelle co-localization, pathway, molecular interaction, papillomavirus, epstein-barr virus, hepatitis b virus, hepatitis c virus, human adenovirus, human herpesvirus, human immunodeficiency virus, influenza a virus, vaccinia virus, simian virus 40, virus strains, virus protein, orthologous protein, network, proteomics, ortholog, FASEB list |
uses: IntAct uses: PSI-MI is listed by: re3data.org is affiliated with: IMEx - The International Molecular Exchange Consortium is related to: MPIDB is related to: TissueNet - The Database of Human Tissue Protein-Protein Interactions is related to: InteroPorc is related to: Interaction Reference Index is related to: Pathway Commons is related to: ConsensusPathDB is related to: VirusMINT is related to: PSICQUIC Registry is related to: Agile Protein Interactomes DataServer has parent organization: University of Rome Tor Vergata; Rome; Italy works with: IMEx - The International Molecular Exchange Consortium |
European Union ; ENFIN ; Interaction Proteome Project ; IMEx - The International Molecular Exchange Consortium ; HUPO Proteomics Standards Initiative ; AIRC Associazione Italiana per la Ricerca sul Cancro |
PMID:22096227 PMID:24234451 PMID:19897547 PMID:18592188 PMID:18551417 PMID:18428712 PMID:17135203 PMID:11911893 |
nlx_152821, r3d100010414 | https://doi.org/10.17616/R38S3B | SCR_001523 | MINT, the Molecular INTeraction database, Molecular Interactions Database, Molecular INTeraction database, MINT - the Molecular INTeraction database | 2026-02-14 02:05:45 | 1109 | |||||
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AmphoraNet Resource Report Resource Website 10+ mentions |
AmphoraNet (RRID:SCR_005009) | AmphoraNet | data analysis service, production service resource, service resource, analysis service resource | Webserver implementation of the AMPHORA2 workflow for phylogenetic analysis of metagenomic shotgun sequencing data. It is capable of assigning a probability-weighted taxonomic group for each phylogenetic marker gene found in the input metagenomic sample. | dna sequence, amino acid sequence, dna, sequence, amino acid, phylogenetic, reliability score, nucleotide, protein, nucleotide sequence, protein sequence, phylogenetic analysis, metagenomic, metagenomics, phylotyping, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Eotvos Lorand University; Budapest; Hungary |
PMID:24144838 | Acknowledgement requested, Free, Public | biotools:amphoranet, OMICS_01450 | https://bio.tools/amphoranet | SCR_005009 | 2026-02-14 02:05:54 | 16 | ||||||
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BioSample Database at EBI Resource Report Resource Website 10+ mentions |
BioSample Database at EBI (RRID:SCR_004856) | BioSD | data or information resource, database | Database that aggregates sample information for reference samples (e.g. Coriell Cell lines) and samples for which data exist in one of the EBI''''s assay databases such as ArrayExpress, the European Nucleotide Archive or PRoteomics Identificates DatabasE. It provides links to assays for specific samples, and accepts direct submissions of sample information. The goals of the BioSample Database include: # recording and linking of sample information consistently within EBI databases such as ENA, ArrayExpress and PRIDE; # minimizing data entry efforts for EBI database submitters by enabling submitting sample descriptions once and referencing them later in data submissions to assay databases and # supporting cross database queries by sample characteristics. The database includes a growing set of reference samples, such as cell lines, which are repeatedly used in experiments and can be easily referenced from any database by their accession numbers. Accession numbers for the reference samples will be exchanged with a similar database at NCBI. The samples in the database can be queried by their attributes, such as sample types, disease names or sample providers. A simple tab-delimited format facilitates submissions of sample information to the database, initially via email to biosamples (at) ebi.ac.uk. Current data sources: * European Nucleotide Archive (424,811 samples) * PRIDE (17,001 samples) * ArrayExpress (1,187,884 samples) * ENCODE cell lines (119 samples) * CORIELL cell lines (27,002 samples) * Thousand Genome (2,628 samples) * HapMap (1,417 samples) * IMSR (248,660 samples) | cell line, cell, nucleotide, sequencing, proteomics, peptide, protein, genomics, gene expression, biological sample, molecular, sequence, structure, cell line, topical portal, aggregator, gold standard, bio.tools |
uses: European Nucleotide Archive (ENA) uses: Proteomics Identifications (PRIDE) uses: ArrayExpress uses: ENCODE uses: Coriell Institute for Medical Research uses: 1000 Genomes: A Deep Catalog of Human Genetic Variation uses: International HapMap Project uses: International Mouse Strain Resource is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: NCBI BioSample has parent organization: European Bioinformatics Institute |
European Molecular Biology Laboratory; Heidelberg; Germany ; European Union FP7 HEALTH-F4-2010-241669; European Union FP7 HEALTH-F4-2007-201413 |
PMID:22096232 | The community can contribute to this resource, Acknowledgement requested | biotools:biosamples, r3d100012628, nlx_143930, OMICS_01025 | https://bio.tools/biosamples https://doi.org/10.17616/R37R3P |
SCR_004856 | BioSamples database, BioSamples, BioSamples Database at EBI, BioSample Database at the EBI, EBI BioSample Database, BioSample Database, BioSD at EBI, BioSD - BioSample Database | 2026-02-14 02:05:54 | 14 | ||||
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Sys-BodyFluid Resource Report Resource Website 1+ mentions |
Sys-BodyFluid (RRID:SCR_005335) | data or information resource, database | A database of bodily fluid proteome data. It contains information on proteins from humanplasma/serum, urine, cerebrospinal fluid, saliva, bronchoalveolar lavage fluid, synovial fluid, nipple aspirate fluid, tear fluid, seminal fluid, human milk, and amniotic fluid. Our body fluid protein database, Sys-BodyFluid, contains 11 body fluid proteomes, including plasma/serum, urine, cerebrospinal fluid, saliva, bronchoalveolar lavage fluid, synovial fluid, nipple aspirate fluid, tear fluid, seminal fluid, human milk, and amniotic fluid. Over 10,000 proteins are included in the Sys-BodyFluid. These body fluid proteome data come from 50 peer-review publications of different laboratories all over the world. Protein annotation are provided including protein description, Gene ontology, Domain information, Protein sequence and involved pathway. User can access the proteome data by protein name, protein accession number, sequence similarity. In addition, user could perform query cross different body fluids to get more comprehensive understanding. The difference and similarity between these 11 body fluids are also analyzed. Thus , the Sys-BodyFluid database could serve as a reference database for body fluid research and disease proteomics. plasm, serum, urine, cerebrospinal fluid, saliva, bronchoalveolar lavage fluid, synovial fluid, nipple aspirate fluid, tear fluid, seminal fluid, human milk, and amniotic fluid, protein, proteomics | bronchoalveolar lavage fluid, cerebrospinal fluid, human milk, nipple aspirate fluid, plasm, protein, proteomics, saliva, seminal fluid, serum, synovial fluid, tear fluid, urine | has parent organization: Shandong University; Shandong; China | nif-0000-03526 | SCR_005335 | Sys-BodyFluid | 2026-02-14 02:05:52 | 3 | |||||||||
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PolySearch Resource Report Resource Website 10+ mentions |
PolySearch (RRID:SCR_005291) | PolySearch | data analysis service, production service resource, service resource, analysis service resource | A web-based tool that supports more than 50 different classes of queries against nearly a dozen different types of text, scientific abstract or bioinformatic databases. The typical query supported by PolySearch is Given X, find all Y''s where X or Y can be diseases, tissues, cell compartments, gene/protein names, SNPs, mutations, drugs and metabolites. PolySearch also exploits a variety of techniques in text mining and information retrieval to identify, highlight and rank informative abstracts, paragraphs or sentences. | text mining, disease, gene, protein, drug, metabolite, snp, gene sequence, pathway, tissue, gene family, subcellular localization, organ |
is listed by: OMICtools has parent organization: University of Alberta; Alberta; Canada |
OMICS_01194 | SCR_005291 | 2026-02-14 02:06:26 | 20 | |||||||||
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Structure Superposition Database Resource Report Resource Website 1+ mentions |
Structure Superposition Database (RRID:SCR_005236) | data or information resource, database | The SSD has been developed to address the need for resources and tools for understanding large sets of superpositions in order to understand evolutionary relationships and to make predictions of function. We have therefore created the Structure Superposition Database (SSD) for accessing, viewing and understanding large sets of structure superposition data. It contains the results of pairwise, all-by-all superpositions of a representative set of 115 (beta/alpha) barrel structures (TIM barrels). The initial implementation of the SSD contains the results of pairwise, all-by-all superpositions of a representative set of 115 (/alpha)8 barrel structures (TIM barrels). Future plans call for extending the database to include representative structure superpositions for many additional folds. The SSD can be browsed with a user interface module developed as an extension to Chimera, an extensible molecular modeling program. Features of the user interface module facilitate viewing multiple superpositions together. | alpha barrel structure, barrel structure, beta barrel structure, protein, quaternary structure, structure superposition | nif-0000-03504 | SCR_005236 | SSD | 2026-02-14 02:06:26 | 2 | ||||||||||
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TranspoGene Resource Report Resource Website 1+ mentions |
TranspoGene (RRID:SCR_005634) | data or information resource, database | A publicly available database of Transposed elements (TEs) which are located within protein-coding genes of 7 organisms: human, mouse, chicken, zebrafish, fruilt fly, nematode and sea squirt. Using TranspoGene the user can learn about the many aspects of the effect these TEs have on their hosting genes, such as: exonization events (including alternative splicing-related data), insertion of TEs into introns, exons, and promoters, specific location of the TE over the gene, evolutionary divergence of the TE from its consensus sequence and involvement in diseases. TranspoGene database is quickly searchable through its website, enables many kinds of searches and is available for download. TranspoGene contains information regarding specific type and family of the TEs, genomic and mRNA location, sequence, supporting transcript accession and alignment to the TE consensus sequence. The database also contains host gene specific data: gene name, genomic location, Swiss-Prot and RefSeq accessions, diseases associated with the gene and splicing pattern. The TranspoGene and microTranspoGene databases can be used by researchers interested in the effect of TE insertion on the eukaryotic transcriptome. | element, eukaryotic, evolutionary, exon, exonization, family, fruit fly, gene, genome, alternative, chicken, coding, disease, divergence, genomic, hosting, human, human genome databases, intron, location, map, maps, mouse, mrna, nematode, organism, pattern, promoter, protein, sea squirt, sequence, splicing, transcript, transcriptome, transposed, viewers, worm, zebrafish | has parent organization: Tel Aviv University; Ramat Aviv; Israel | nif-0000-03579 | SCR_005634 | TranspoGene | 2026-02-14 02:06:29 | 9 | |||||||||
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BiGG Database Resource Report Resource Website 100+ mentions |
BiGG Database (RRID:SCR_005809) | BiGG | data or information resource, database | A knowledgebase of Biochemically, Genetically and Genomically structured genome-scale metabolic network reconstructions. BiGG integrates several published genome-scale metabolic networks into one resource with standard nomenclature which allows components to be compared across different organisms. BiGG can be used to browse model content, visualize metabolic pathway maps, and export SBML files of the models for further analysis by external software packages. Users may follow links from BiGG to several external databases to obtain additional information on genes, proteins, reactions, metabolites and citations of interest. | biochemical, genetics, genomics, genome, metabolic network, reconstruction, model, metabolic pathway, gene, protein, reaction, metabolite, metabolic reconstruction, compound, pathway, FASEB list |
uses: SBML is used by: BiGGR is listed by: 3DVC has parent organization: University of California at San Diego; California; USA |
NIH ; Ruth L. Kirschstein National Research Service Award - NIH Bioinformatics Training ; University of California at San Diego; California; USA ; Calit2 summer research scholarship ; NIGMS GM00806-06 |
PMID:20426874 | nlx_149299, r3d100011567 | https://doi.org/10.17616/R3MG9M | SCR_005809 | BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions, BiGG - a Biochemical Genetic and Genomic knowledgebase | 2026-02-14 02:05:58 | 124 | |||||
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UniPROBE Resource Report Resource Website 100+ mentions |
UniPROBE (RRID:SCR_005803) | UniPROBE | data or information resource, database | Database that hosts experimental data from universal protein binding microarray (PBM) experiments (Berger et al., 2006) and their accompanying statistical analyses from prokaryotic and eukaryotic organisms, malarial parasites, yeast, worms, mouse, and human. It provides a centralized resource for accessing comprehensive data on the preferences of proteins for all possible sequence variants ("words") of length k ("k-mers"), as well as position weight matrix (PWM) and graphical sequence logo representations of the k-mer data. The database's web tools include a text-based search, a function for assessing motif similarity between user-entered data and database PWMs, and a function for locating putative binding sites along user-entered nucleotide sequences. | protein, in vitro, dna binding, protein binding, genetics, dna, nucleotide sequence, sequence variant, k-mer, position weight matrix, graphical sequence logo, motif, motif similarity, binding site, microarray, protein-dna interaction, protein binding microarray probe sequence, probe, FASEB list |
is listed by: re3data.org is listed by: OMICtools |
PMID:21037262 PMID:18842628 |
Acknowledgement requested, Academic research use license | nif-0000-03611, OMICS_00546, r3d100010557 | http://thebrain.bwh.harvard.edu/pbms/webworks_pub/ https://doi.org/10.17616/R35C9J |
SCR_005803 | UniPROBE Database, Universal Protein Binding Microarray Resource for Oligonucleotide Binding Evaluation, Universal PBM Resource for Oligonucleotide Binding Evaluation | 2026-02-14 02:05:53 | 149 | |||||
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MutationAssessor Resource Report Resource Website 500+ mentions |
MutationAssessor (RRID:SCR_005762) | mutationassessor.org | data analysis service, production service resource, service resource, analysis service resource | A web server that predicts the functional impact of amino-acid substitutions in proteins, such as mutations discovered in cancer or nonsynonymous polymorphisms. The functional impact is assessed based on evolutionary conservation of the affected amino acid in protein homologs. The method has been validated on a large set (51k) of disease associated (OMIM) and polymorphic variants., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | cancer, protein, mutation, function, amino-acid, substitution |
is listed by: OMICtools is listed by: SoftCite |
PMID:21727090 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00134, nlx_149228 | SCR_005762 | MutationAssessor - functional impact of protein mutations, MutationAssessor - functional impact of mutations, mutationassessor.org - functional impact of protein mutations | 2026-02-14 02:05:57 | 669 | ||||||
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IndelFR - Indel Flanking Region Database Resource Report Resource Website 1+ mentions |
IndelFR - Indel Flanking Region Database (RRID:SCR_006050) | IndelFR | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. Indel Flanking Region Database is an online resource for indels and the flanking regions of proteins in SCOP superfamilies, including amino acid sequences, lengths, locations, secondary structure constitutions, hydrophilicity / hydrophobicity, domain information, 3D structures and so on. It aims at providing a comprehensive dataset for analyzing the qualities of amino acid insertion/deletions(indels), substitutions and the relationship between them. The indels were obtained through the pairwise alignment of homologous structures in SCOP superfamilies. The IndelFR database contains 2,925,017 indels with flanking regions extracted from 373,402 structural alignment pairs of 12,573 non-redundant domains from 1053 superfamilies. IndelFR has already been used for molecular evolution studies and may help to promote future functional studies of indels and their flanking regions. | indel, flanking region, protein, structural domain, domain, protein superfamily, protein structure, insertion/deletion, insertion, deletion, protein sequence, sequence, structure, protein domain, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: SCOP: Structural Classification of Proteins is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: Shandong University; Shandong; China |
Independent Innovation Foundation of Shandong University 2009JC006; National Natural Science Foundation of China 30970092; National Natural Science Foundation of China 61070017; Scientific Research Reward Fund for excellent Young and Middle-Aged scientists in Shandong Province 20090451326 |
PMID:22127860 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:indelfr, nlx_151448 | https://bio.tools/indelfr | SCR_006050 | IndelFR: Indel Flanking Region Database, Indel Flanking Region Database | 2026-02-14 02:05:54 | 2 | ||||
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Computational Biology at ORNL Resource Report Resource Website |
Computational Biology at ORNL (RRID:SCR_005710) | Computational Biology at ORNL | data analysis service, production service resource, service resource, analysis service resource | We are the Computational Biology and Bioinformatics Group of the Biosciences Division of Oak Ridge National Laboratory. We conduct genetics research and system development in genomic sequencing, computational genome analysis, and computational protein structure analysis. We provide bioinformatics and analytic services and resources to collaborators, predict prospective gene and protein models for analysis, provide user services for the general community, including computer-annotated genomes in Genome Channel. Our collaborators include the Joint Genome Institute, ORNL''s Computer Science and Mathematics Division, the Tennessee Mouse Genome Consortium, the Joint Institute for Biological Sciences, and ORNL''s Genome Science and Technology Graduate Program. | genetics, research, system development, genomic sequencing, computation, genome analysis, protein structure, analysis, gene, protein, gene annotation, annotation, genome | has parent organization: Oak Ridge National Laboratory | nlx_149161 | SCR_005710 | Computational Biology at Oak Ridge National Laboratory, Computational Biology and Bioinformatics Group at ORNL, Computational Biology Bioinformatics Group at ORNL | 2026-02-14 02:05:57 | 0 | ||||||||
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GOtcha Resource Report Resource Website 1+ mentions |
GOtcha (RRID:SCR_005790) | GOtcha | data analysis service, production service resource, service resource, analysis service resource | GOtcha provides a prediction of a set of GO terms that can be associated with a given query sequence. Each term is scored independently and the scores calibrated against reference searches to give an accurate percentage likelihood of correctness. These results can be displayed graphically. Why is GOtcha different to what is already out there and why should you be using it? * GOtcha uses a method where it combines information from many search hits, up to and including E-values that are normally discarded. This gives much better sensitivity than other methods. * GOtcha provides a score for each individual term, not just the leaf term or branch. This allows the discrimination between confident assignments that one would find at a more general level and the more specific terms that one would have lower confidence in. * The scores GOtcha provides are calibrated to give a real estimate of correctness. This is expressed as a percentage, giving a result that non-experts are comfortable in interpreting. * GOtcha provides graphical output that gives an overview of the confidence in, or potential alternatives for, particular GO term assignments. The tool is currently web-based; contact David Martin for details of the standalone version. Platform: Online tool | function, protein, prediction, genome, annotation, gene, statistical analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Dundee; Scotland; United Kingdom |
Wellcome Trust 060269; European Union fifth framework QLRI-CT-2000-00127 |
PMID:15550167 | Free for academic use | nlx_149269 | http://www.compbio.dundee.ac.uk/Software/GOtcha/gotcha.html | SCR_005790 | 2026-02-14 02:05:57 | 1 | |||||
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GoAnnotator Resource Report Resource Website 1+ mentions |
GoAnnotator (RRID:SCR_005792) | GOAnnotator | data analysis service, production service resource, service resource, analysis service resource | A tool for assisting the GO annotation of UniProt entries by linking the GO terms present in the uncurated annotations with evidence text automatically extracted from the documents linked to UniProt entries. Platform: Online tool | text mining, protein, gene ontology, annotation |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: UniProt has parent organization: University of Lisbon; Lisbon; Portugal |
European Union contract QLRI-1999-50595 | PMID:17181854 | Free for academic use | nlx_149303 | SCR_005792 | 2026-02-14 02:06:30 | 1 | ||||||
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PoSSuM Resource Report Resource Website 10+ mentions |
PoSSuM (RRID:SCR_006109) | PoSSuM | data or information resource, database | Relational database of all the discovered similar pairs in a huge number of protein-ligand binding sites with annotations of various types (e.g., CATH, SCOP, EC number, Gene ontology). They used a tremendously fast algorithm called SketchSort that enables the enumeration of similar pairs in a huge number of protein-ligand binding sites. They conducted all-pair similarity searches for 3.4 million known and potential binding sites using the proposed method and discovered over 24 million similar pairs of binding sites. PoSSuM enables rapid exploration of similar binding sites among structures with different global folds as well as similar ones. Moreover, PoSSuM is useful for predicting the binding ligand for unbound structures. Basically, the users can search similar binding pockets using two search modes: # Search K is useful for finding similar binding sites for a known ligand-binding site. Post a known ligand-binding site (a pair of PDB ID and HET code) in the PDB, and PoSSuM will search similar sites for the query site. # Search P is useful for predicting ligands that potentially bind to a structure of interest. Post a known protein structure (PDB ID) in the PDB, and PoSSuM will search similar known-ligand binding sites for the query structure. | binding site, ligand-binding site, protein function, protein, prediction, small molecule, drug discovery |
is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: University of Tokyo; Tokyo; Japan has parent organization: National Institute of Advanced Industrial Science and Technology |
Japan Society for the Promotion of Science KAKENHI 21680025; Japan Society for the Promotion of Science KAKENHI 23500374 |
PMID:22135290 PMID:22113700 |
Freely available, Acknowledgement required | nlx_151581 | SCR_006109 | PoSSuM - POcket Similarity Search Using Multiple-Sketches, Pocket Similarity Search using Multiple-Sketches (PoSSuM), PoSSuM Database, POcket Similarity Search Using Multiple-Sketches | 2026-02-14 02:06:32 | 30 | |||||
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GOanna Resource Report Resource Website 10+ mentions |
GOanna (RRID:SCR_005684) | GOanna | data analysis service, production service resource, service resource, analysis service resource | GOanna is used to find annotations for proteins using a similarity search. The input can be a list of IDs or it can be a list of sequences in FASTA format. GOanna will retrieve the sequences if necessary and conduct the specified BLAST search against a user-specified database of GO annotated proteins. The resulting file contains GO annotations of the top BLAST hits. The sequence alignments are also provided so the user can use these to access the quality of the match. Platform: Online tool | agriculture, annotation, protein, ontology or annotation search engine, ontology or annotation editor |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: AgBase |
USDA ; Mississippi State University; Mississippi; USA ; MSU Office of Research ; MSU Bagley College of Engineering ; MSU College of College of Veterinary Medicine ; MSU Life Science and Biotechnology Institute |
PMID:17135208 PMID:16961921 |
Free for academic use | nlx_149139 | SCR_005684 | AgBase GOanna | 2026-02-14 02:06:24 | 17 |
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