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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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PhylomeDB Resource Report Resource Website 50+ mentions |
PhylomeDB (RRID:SCR_007850) | data or information resource, database | Database for phylomes, that is, complete collections of phylogenetic trees for all proteins encoded in a given genome. It aims at providing a repository of high-quality phylogenies and alignments for proteins encoded in model species. To derive a phylome, each protein encoded in a given genome is used as a seed to retrieve its homologs in other complete genomes. These sequences are aligned and processed to derive reliable phylogenies using several phylogenetic methods. Besides providing the evolutionary history of the gene families, phylomeDB includes phylogeny based predictions of orthology and paralogy relationships., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | Genome-wide collections, gene phylogenies, phylogenetic trees collection, proteins encoded, genome, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools |
PMID:17962297 PMID:21075798 PMID:24275491 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03281, biotools:PhylomeDb | https://bio.tools/PhylomeDB | SCR_007850 | PhylomeDB | 2026-02-14 02:06:39 | 52 | ||||||
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PartiGeneDB Resource Report Resource Website 1+ mentions |
PartiGeneDB (RRID:SCR_007848) | data or information resource, database | A publicly available database resource containing the assembled partial genomes for ~700 eukaryotic organisms. Partial genomes are generated from expressed sequence tag datasets containing more than 1000 sequences. PartiGeneDB allows users to view sets of genes and identify genes of interest in organisms for which a full genome is not currently available. PartiGeneDB is automatically updated to include new organism datasets as they are generated. PartiGeneDB provides four portals of entry into the database. It is hosted and supported by the Hospital for Sick Children, Toronto. In addition to providing a comprehensive resource facilitating comparative analyses, PartiGeneDB allows researchers to access the partial genomes of organisms that may not be available elsewhere. However, we recommend and encourage users interested in exploring datasets from a single organism in more depth, that you visit the specific web sites associated with the sequencing effort associated with that organism . | est, eukaryotic genome, expressed sequence tag, partial genome, bio.tools |
is listed by: bio.tools is listed by: Debian |
nif-0000-03244, biotools:partigenedb | https://bio.tools/partigenedb | SCR_007848 | PartiGeneDB | 2026-02-14 02:06:32 | 6 | ||||||||
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TDR Targets Database Resource Report Resource Website 10+ mentions |
TDR Targets Database (RRID:SCR_007963) | data or information resource, database | This database functions both as a website where researchers can look for information on their targets of interest; and as a tool for prioritization of targets in whole genomes. Using the database as a tool, researchers can quickly prioritize a genome of interest by performing any number of individual queries on a species of interest, then assigning numerical weights to each query (in the history page) to finally obtain a ranked list of genes by combining the weighted queries. This site is part of a WHO/TDR project seeking to exploit the availability of diverse datasets to facilitate the identification and prioritization of drug targets in pathogens causing neglected diseases. | bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian |
nif-0000-03542, biotools:tdr_targets | https://bio.tools/tdr_targets | SCR_007963 | TDR Targets | 2026-02-14 02:06:06 | 43 | ||||||||
|
RNA Virus Database Resource Report Resource Website |
RNA Virus Database (RRID:SCR_007899) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 19, 2016. It is a database and web application describing the genome organization and providing analytical tools for the 938 known species of RNA virus. It can identify submitted nucleotide sequences, can place them into multiple whole-genome alignments (in species where more than one isolate has been fully sequenced) and contains translated genome sequences for all species. It has been created for two main purposes: to facilitate the comparative analysis of RNA viruses and to become a hub for other, more specialised virus Web sites. | bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: University of Oxford; Oxford; United Kingdom |
THIS RESOURCE IS NO LONGER IN SERVICE | biotools:rnavirusdb | https://bio.tools/rnavirusdb | http://virus.zoo.ox.ac.uk/rnavirusdb/ | SCR_007899 | RNA Virus Database | 2026-02-14 02:06:32 | 0 | ||||||
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Phospho.ELM Resource Report Resource Website 10+ mentions |
Phospho.ELM (RRID:SCR_001109) | data or information resource, database | Database of experimentally verified phosphorylation sites in eukaryotic proteins. Entries are manually curated with links to literature references, information about structure, interaction partners and sub-cellular compartment tissues, and sequences from the UniProt database. | eukaryotic protein, phosphorylation site, database, curation, bio.tools, FASEB list |
uses: UniProt is listed by: bio.tools is listed by: Debian has parent organization: University of Dundee; Scotland; United Kingdom |
PMID:17962309 | Publicly available | nif-0000-03278, biotools:phosphoelm | https://bio.tools/phosphoelm | SCR_001109 | 2026-02-14 02:05:44 | 40 | |||||||
|
iontree Resource Report Resource Website |
iontree (RRID:SCR_002813) | software resource | Software package that provides utility functions to manage and analyse MS2/MS3 fragmentation data from ion trap mass spectrometry. It was designed for high throughput metabolomics data with many biological samples and a large numer of ion trees collected. Tests have been done with data from low-resolution mass spectrometry but could be readily extended to precursor ion based fragmentation data from high resoultion mass spectrometry. | standalone software, mac os x, unix/linux, windows, r, mass spectrometry, metabolomics, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Bioconductor |
PMID:24958264 | Free, Freely available, Available for download | OMICS_02656, biotools:iontree | https://bio.tools/iontree | SCR_002813 | iontree: Data management and analysis of ion trees from ion-trap mass spectrometry | 2026-02-14 02:04:50 | 0 | ||||||
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HSSP Resource Report Resource Website 10+ mentions |
HSSP (RRID:SCR_004953) | HSSP | data or information resource, database | HSSP (homology-derived structures of proteins) is a derived database merging structural (2-D and 3-D) and sequence information (1-D). For each protein of known 3D structure from the Protein Data Bank, the database has a file with all sequence homologues, properly aligned to the PDB protein. Homologues are very likely to have the same 3D structure as the PDB protein to which they have been aligned. As a result, the database is not only a database of sequence aligned sequence families, but it is also a database of implied secondary and tertiary structures. Likely secondary structure are carried over from the PDB protein to each homologous protein. Tertiary structure models can be built by fitting the sequence of the homologue as aligned into the 3D template of the protein of known structure. Special software is needed to construct 3D models by homology, such WHATIF by Gert Vriend or MaxSprout by Liisa Holm and Chris Sander. The command rsync can be used to obtain a local copy of the HSSP. We appreciate receiving an Email from people who do so, but there are no strings attached. Everybody can freely download the files, academia and industry alike. If your institute''s firewall doesn''t allow you to use the (preferred) rsync way of obtaining HSSP files, feel free to work with FTP. The files are in that case available from: ftp://ftp.cmbi.ru.nl//pub/molbio/data/hssp/ | gold standard, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Radboud University; Nijmegen; The Netherlands |
PMID:2017436 | biotools:hssp, nlx_91976 | https://bio.tools/hssp | SCR_004953 | Homology-derived Secondary Structure of Proteins, homology-derived structures of proteins, HSSP - Homology derived Secondary Structure of Proteins, HSSP database, HSSP - Homology-derived Secondary Structure of Proteins, Homology derived Secondary Structure of Proteins | 2026-02-14 02:06:23 | 33 | ||||||
|
STING Report Resource Report Resource Website 1+ mentions |
STING Report (RRID:SCR_005121) | STING | data or information resource, database | Sting Report is a database of amino acid sequences, structures, functions, and parameters. It allows users to easily extract from the Blue Star Sting Database detailed but focused information about an individual amino acid, which belongs to a structure described in a PDB file. The extracted information is presented as a series of GIF images and a table, which are generated by Blue Star Sting modules and contain values of up to 125 sequence/structure/function descriptors/parameters. The HTML page resulting from a query on Sting Report, containing the GIF images and the table, is printable, and can also be composed and visualized at a computer platform with elementary configuration. | amino acid, amino acid function, amino acid sequence, amino acid structure, bio.tools |
is listed by: Debian is listed by: bio.tools |
PMID:15608194 | nif-0000-03498, biotools:sting_millenium | https://bio.tools/sting_millenium | SCR_005121 | Blue Star Sting Report | 2026-02-14 02:06:25 | 4 | ||||||
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Apo and Holo structures DataBase Resource Report Resource Website 1+ mentions |
Apo and Holo structures DataBase (RRID:SCR_004800) | AH-DB | data or information resource, database | Database of apo and holo structure pairs of proteins before and after binding. Various protein functions have been shown directly associated with conformational transitions triggered by binding other molecules. Tertiary structures determined in the unbound and bound state are usually named apo and holo structures, respectively. AH-DB is the largest database of apo-holo structure pairs and provides a sophisticated interface to search and view the collected data. It contains 746314 apo-holo pairs of 3638 proteins from 702 organisms. | ah-db, ahdb, apo, holo, protein interaction, structural change, protein, protein structure, protein binding, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: National Cheng Kung University; Tainan; Taiwan |
National Science Council Taiwan NSC 99-2628-E-006-017 | PMID:22084200 | The community can contribute to this resource | biotools:ah-db, nlx_143908 | https://bio.tools/ah-db | SCR_004800 | Apo-Holo DataBase | 2026-02-14 02:06:20 | 1 | ||||
|
NCBI BioProject Resource Report Resource Website 10000+ mentions |
NCBI BioProject (RRID:SCR_004801) | data or information resource, database | Database of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project. It is a searchable collection of complete and incomplete (in-progress) large-scale sequencing, assembly, annotation, and mapping projects for cellular organisms. Submissions are supported by a web-based Submission Portal. The database facilitates organization and classification of project data submitted to NCBI, EBI and DDBJ databases that captures descriptive information about research projects that result in high volume submissions to archival databases, ties together related data across multiple archives and serves as a central portal by which to inform users of data availability. BioProject records link to corresponding data stored in archival repositories. The BioProject resource is a redesigned, expanded, replacement of the NCBI Genome Project resource. The redesign adds tracking of several data elements including more precise information about a project''''s scope, material, and objectives. Genome Project identifiers are retained in the BioProject as the ID value for a record, and an Accession number has been added. Database content is exchanged with other members of the International Nucleotide Sequence Database Collaboration (INSDC). BioProject is accessible via FTP. | genome sequencing, sequencing, genotype, phenotype, sequence variant, epigenetic, data set, genome, assembly, annotation, mapping, cellular organism, gene mapping, gene expression, biological tag, gene rearrangement, genetic algorithm, genetic code, genetic genealogy, gold standard, bio.tools |
is listed by: 3DVC is listed by: re3data.org is listed by: Debian is listed by: bio.tools is related to: INSDC has parent organization: NCBI |
NLM | PMID:22139929 | Free, Freely available | r3d100013330, nlx_143909, biotools:bioproject | http://www.ncbi.nlm.nih.gov/genomeprj https://bio.tools/bioproject https://doi.org/10.17616/R31NJMS2 |
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?CMD=search&DB=genomeprj | SCR_004801 | NCBI BioProject Database, BioProject | 2026-02-14 02:05:53 | 13968 | ||||
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MethylomeDB Resource Report Resource Website 1+ mentions |
MethylomeDB (RRID:SCR_005583) | MethylomeDB | data or information resource, database | A database containing genome-wide brain DNA methylation profiles for human and mouse brains. The DNA methylation profiles were generated by Methylation Mapping Analysis by Paired-end Sequencing (Methyl-MAPS) method and analyzed by Methyl-Analyzer software package. The methylation profiles cover over 80% CpG dinucleotides in human and mouse brains in single-CpG resolution. The integrated genome browser (modified from UCSC Genome Browser allows users to browse DNA methylation profiles in specific genomic loci, to search specific methylation patterns, and to compare methylation patterns between individual samples. Two species were included in the Brain Methylome Database: human and mouse. Human postmortem brain samples were obtained from three distinct cortical regions, i.e., dorsal lateral prefrontal cortex (dlPFC), ventral prefrontal cortex (vPFC), and auditory cortex (AC). Human samples were selected from our postmortem brain collection with extensive neuropathological and psychopathological data, as well as brain toxicology reports. The Department of Psychiatry of Columbia University and the New York State Psychiatric Institute have assembled this brain collection, where a validated psychological autopsy method is used to generate Axis I and II DSM IV diagnoses and data are obtained on developmental history, history of psychiatric illness and treatment, and family history for each subject. The mouse sample (strain 129S6/SvEv) DNA was collected from the entire left cerebral hemisphere. The three human brain regions were selected because they have been implicated in the neuropathology of depression and schizophrenia. Within each cortical region, both disease and non-psychiatric samples have been profiled (matching subjects by age and sex in each group). Such careful matching of subjects allows one to perform a wide range of queries with the ability to characterize methylation features in non-psychiatric controls, as well as detect differentially methylated domains or features between disease and non-psychiatric samples. A total of 14 non-psychiatric, 9 schizophrenic, and 6 depression methylation profiles are included in the database. | brain, dna methylation, dorsal lateral prefrontal cortex, ventral prefrontal cortex, auditory cortex, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Columbia University; New York; USA |
NIH ; NHGRI HG002915; NIMH MH074118 |
PMID:22140101 | OMICS_01843, nlx_146210, biotools:methylomedb | https://bio.tools/methylomedb | SCR_005583 | MethylomeDB - the Brain Methylome Database, Brain Methylome Database | 2026-02-14 02:06:24 | 1 | |||||
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MIPModDB Resource Report Resource Website 1+ mentions |
MIPModDB (RRID:SCR_006058) | MIPModDB | data or information resource, database | This is a database of comparative protein structure models of MIP (Major Intrinsic Protein) family of proteins. The nearly completed sets of MIPs have been identified from the completed genome sequence of organisms available at NCBI. The structural models of MIP proteins were created by defined protocol. The database aims to provide key information of MIPs in particular based on sequence as well as structures. This will further help to decipher the function of uncharacterized MIPs. For each MIP entry, this database contains information about the source, gene structure, sequence features, substitutions in the conserved NPA motifs, structural model, the residues forming the selectivity filter and channel radius profile. For selected set of MIPs, it is possible to derive structure-based sequence alignment and evolutionary relationship. Sequences and structures of selected MIPs can be downloaded from MIPModDB database. | major intrinsic protein, model, protein structure, structural model, sequence, structure, superfamily, genome sequence, amino acid sequence, motif, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Indian Institute of Technology Kanpur; Uttar Pradesh; India |
Government of India | PMID:22080560 | Free | nlx_151460, biotools:mipmoddb | https://bio.tools/mipmoddb | SCR_006058 | Major Intrinsic Protein superfamily Models, MIPModDB - Major Intrinsic Protein superfamily Models | 2026-02-14 02:06:25 | 6 | ||||
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Yeast Search for Transcriptional Regulators And Consensus Tracking Resource Report Resource Website 100+ mentions |
Yeast Search for Transcriptional Regulators And Consensus Tracking (RRID:SCR_006076) | YEASTRACT | data or information resource, database | A curated repository of more than 206000 regulatory associations between transcription factors (TF) and target genes in Saccharomyces cerevisiae, based on more than 1300 bibliographic references. It also includes the description of 326 specific DNA binding sites shared among 113 characterized TFs. Further information about each Yeast gene has been extracted from the Saccharomyces Genome Database (SGD). For each gene the associated Gene Ontology (GO) terms and their hierarchy in GO was obtained from the GO consortium. Currently, YEASTRACT maintains a total of 7130 terms from GO. The nucleotide sequences of the promoter and coding regions for Yeast genes were obtained from Regulatory Sequence Analysis Tools (RSAT). All the information in YEASTRACT is updated regularly to match the latest data from SGD, GO consortium, RSA Tools and recent literature on yeast regulatory networks. YEASTRACT includes DISCOVERER, a set of tools that can be used to identify complex motifs found to be over-represented in the promoter regions of co-regulated genes. DISCOVERER is based on the MUSA algorithm. These algorithms take as input a list of genes and identify over-represented motifs, which can then be compared with transcription factor binding sites described in the YEASTRACT database. | yeast, gene, regulatory association, transcription factor, target gene, genomic, transcription regulation, transcription, web service, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: SGD is related to: Gene Ontology is related to: Regulatory Sequence Analysis Tools |
Fundacao para a Ciencia e a Tecnologia contract Pest-OE/EQB/LA0023/2011_research line: Systems and Synthetic Biology; Fundacao para a Ciencia e a Tecnologia ERA-IB/0002/2010; Fundacao para a Ciencia e a Tecnologia PTDC/EIA-EIA/111239/2009; Fundacao para a Ciencia e a Tecnologia PTDC/EIA-CCO/118522/2010 |
PMID:24170807 PMID:20972212 PMID:18032429 PMID:16381908 |
Free | nif-0000-03652, OMICS_00547, biotools:yeastract | https://bio.tools/yeastract | SCR_006076 | 2026-02-14 02:06:32 | 120 | |||||
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HotRegion - A Database of Cooperative Hotspots Resource Report Resource Website 1+ mentions |
HotRegion - A Database of Cooperative Hotspots (RRID:SCR_006022) | HotRegion | data or information resource, database | Hot spots are energetically important residues at protein interfaces and they are not randomly distributed across the interface but rather clustered. These clustered hot spots form hot regions. Hot regions are important for the stability of protein complexes, as well as providing specificity to binding sites. HotRegion provides the hot region information of the interfaces by using predicted hot spot residues, and structural properties of these interface residues such as pair potentials of interface residues, accessible surface area (ASA) and relative ASA values of interface residues of both monomer and complex forms of proteins. Also, the 3D visualization of the interface and interactions among hot spot residues are provided. The number of interfaces in the database is 147909 and still growing. | residue, chain, complex, monomer, pair potential, hotspot, hotregion, accessible surface area, protein, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Koc University; Istanbul; Turkey |
Turkish Academy of Sciences ; TUBITAK 109T343; TUBITAK 109E207 |
PMID:22080558 | nlx_151420, biotools:hotregion | https://bio.tools/hotregion | SCR_006022 | HotRegion: a database of predicted hot spot clusters, HotRegion: A database of cooperative hot spots | 2026-02-14 02:06:32 | 5 | |||||
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glycomedb Resource Report Resource Website 10+ mentions |
glycomedb (RRID:SCR_005717) | GlycomeDB | data or information resource, database | GlycomeDB is a database of all known carbohydrate structures. This was achieved by crosslinking several other databases of carbohydrate structures by using the GlycoCT XML language specification. We have analyzed all of the existing public databases and defined a sequence format based on XML (GlycoCT) capable of storing all structural information of carbohydrate sequences. We have implemented a library of parsers for the interpretation of the different encoding schemes for carbohydrates. With this library we have translated the carbohydrate sequences of all freely available databases (CFG , KEGG, GLYCOSCIENCES.de, BCSDB and Carbbank) to GlycoCT, and created a new database (GlycomeDB) containing all structures and annotations. During the process of data integration we found multiple inconsistencies in the existing databases which were corrected in collaboration with the responsible curators. With the new database, GlycomeDB, it is possible to get an overview of all carbohydrate structures in the different databases and to crosslink common structures in the different databases. Scientists are now able to search for a particular structure in the meta database and get information about the occurrence of this structure in the five carbohydrate structure databases. | carbohydrate structure, carbohydrate, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: German Cancer Research Center |
European Union FP6 ; DFG |
PMID:21045056 PMID:19759275 PMID:18803830 |
nlx_149174, r3d100011527, biotools:glycomedb | https://bio.tools/glycomedb https://doi.org/10.17616/R34M07 |
SCR_005717 | GlycomeDB - A carbohydrate structure metadatabase | 2026-02-14 02:06:24 | 24 | |||||
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TropGENE DB Resource Report Resource Website 1+ mentions |
TropGENE DB (RRID:SCR_005716) | data or information resource, database | A database that manages genetic and genomic information about tropical crops studied by Cirad. The database is organised into crop specific modules. Each module includes data on genetic ressources (agro-morphological data, parentages, allelic diversity), information on molecular markers, genetics maps, result of QTL analyses, data from physical mapping, sequences, genes, as well as corresponding references. GENE DB interface has been designed to allow quick consultations as well as complex queries. Nine modules are presently on line. | banana, cocoa, coconut, coffee, cotton, oil palm, rice, rubber tree, sugarcane, bio.tools |
is listed by: bio.tools is listed by: Debian |
biotools:TropGeneDB, nif-0000-03593 | http://tropgenedb.cirad.fr/ https://bio.tools/TropGeneDB |
SCR_005716 | TropGENE DB | 2026-02-14 02:05:53 | 5 | ||||||||
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DOMMINO - Database Of MacroMolecular INteractiOns Resource Report Resource Website 1+ mentions |
DOMMINO - Database Of MacroMolecular INteractiOns (RRID:SCR_005958) | DOMMINO | data or information resource, database | DOMMINO is a comprehensive structural database on macromolecular interactions. As of June, 2011, it contains more than 407,000 binary interactions. The distinctive features of DOMMINO are: # Automated updates: DOMMINO is fully automated and is designed to update itself on a weekly basis, one day after a PDB weekly update. Thus, the community will be able to study macromolecular interactions almost immediately after they are released by PDB. # Coverage of non-domain mediated interactions: In addition to domain-domain and domain-peptide interactions the database characterizes the interaction between domains and unstructured protein regions that are not parts of a domain, such as inter-domain linkers and N- and C-termini. The interactions that involve the latter unstructured parts of proteins have been included to the database for the first time providing additional ~186,000 interactions (~45% of the total number of interactions, as of June, 2011). # Coverage of new structural domains: DOMMINO employs one of the most accurate structural classifications of proteins, SCOP. In addition to the existing SCOP-annotated domains, we employ a state-of-the-art machine learning approach to classify newer protein structures into existing SCOP families. With the progress of structural genomics, we do not expect a significant growth of the number of structurally novel folds or protein families and therefore our method allows covering almost all new protein structures. In total, using this predictive approach has allowed us to add more than 261,000 new interactions, almost twice as many as existing SCOP-annotated interactions. # The web-interface is designed to give the user a possibility of a flexible search as well as the capability to study macromolecular interactions in a PDB structure at the interaction network level and at the individual interface level. The web interface of the DOMMINO database includes a comprehensive list of help topics linked to the specific actions. In addition, we have designed a step-by-step tutorial that covers all aspects of working with the data from DOMMINO using the web interface. | macromolecular interaction, macromolecule, structural domain, non-domain mediated interaction, protein, domain, peptide, interaction, protein-protein interaction, protein-peptide interaction, protein-dna interactions, protein-rna interactions, rna-rna interactions, rna-dna interactions, interface structure, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: SCOP: Structural Classification of Proteins has parent organization: University of Missouri; Missouri; USA |
NSF DBI-0845196 | PMID:22135305 | biotools:dommino, nlx_151316 | http://orion.rnet.missouri.edu/~nz953/DOMMINO/ https://bio.tools/dommino |
SCR_005958 | Database Of MacroMolecular INteractiOns | 2026-02-14 02:05:53 | 1 | |||||
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CharProtDB: Characterized Protein Database Resource Report Resource Website |
CharProtDB: Characterized Protein Database (RRID:SCR_005872) | CharProtDB | data or information resource, database | The Characterized Protein Database, CharProtDB, is designed and being developed as a resource of expertly curated, experimentally characterized proteins described in published literature. For each protein record in CharProtDB, storage of several data types is supported. It includes functional annotation (several instances of protein names and gene symbols) taxonomic classification, literature links, specific Gene Ontology (GO) terms and GO evidence codes, EC (Enzyme Commisssion) and TC (Transport Classification) numbers and protein sequence. Additionally, each protein record is associated with cross links to all public accessions in major protein databases as ��synonymous accessions��. Each of the above data types can be linked to as many literature references as possible. Every CharProtDB entry requires minimum data types to be furnished. They are protein name, GO terms and supporting reference(s) associated to GO evidence codes. Annotating using the GO system is of importance for several reasons; the GO system captures defined concepts (the GO terms) with unique ids, which can be attached to specific genes and the three controlled vocabularies of the GO allow for the capture of much more annotation information than is traditionally captured in protein common names, including, for example, not just the function of the protein, but its location as well. GO evidence codes implemented in CharProtDB directly correlate with the GO consortium definitions of experimental codes. CharProtDB tools link characterization data from multiple input streams through synonymous accessions or direct sequence identity. CharProtDB can represent multiple characterizations of the same protein, with proper attribution and links to database sources. Users can use a variety of search terms including protein name, gene symbol, EC number, organism name, accessions or any text to search the database. Following the search, a display page lists all the proteins that match the search term. Click on the protein name to view more detailed annotated information for each protein. Additionally, each protein record can be annotated. | protein, annotation, functional annotation, taxonomic classification, literature, gene ontology, evidence code, enzyme commission, transport classification, protein sequence, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: J. Craig Venter Institute |
NHGRI R01 HG004881; NIAID contract HHSN266200100038C |
PMID:22140108 | biotools:charprotdb, nlx_149421 | https://bio.tools/charprotdb | SCR_005872 | Characterized Protein Database | 2026-02-14 02:06:25 | 0 | |||||
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VirHostNet: Virus-Host Network Resource Report Resource Website 1+ mentions |
VirHostNet: Virus-Host Network (RRID:SCR_005978) | VirHostNet | data or information resource, database | Public knowledge base specialized in the management and analysis of integrated virus-virus, virus-host and host-host interaction networks coupled to their functional annotations. It contains high quality and up-to-date information gathered and curated from public databases (VirusMint, Intact, HIV-1 database). It allows users to search by host gene, host/viral protein, gene ontology function, KEGG pathway, Interpro domain, and publication information. It also allows users to browse viral taxonomy. | interaction, protein, virus, protein-protein interaction, protein interaction, infectious disease, antiviral drug design, proteome, interactome, molecular function, cellular pathway, protein domain, virus-virus, virus-host, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology is related to: VirusMINT is related to: IntAct is related to: HIV-1 Human Protein Interaction Database is related to: PSICQUIC Registry has parent organization: Claude Bernard University Lyon 1; Lyon; France |
PMID:18984613 | Acknowledgement requested, Public | nif-0000-03634, OMICS_01910, biotools:virhostnet | https://bio.tools/virhostnet | SCR_005978 | Virus-Host Network | 2026-02-14 02:05:53 | 6 | |||||
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RecountDB Resource Report Resource Website |
RecountDB (RRID:SCR_006117) | RecountDB | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Database for corrected read counts and genome mapping on NCBI's Short Read Archive. The corrected count was done using RECOUNT and the mapping with LAST. We also provide information of reference genome to which we aligned the short reads. We focus on transcriptomic data, specifically TSS-Seq and RNA-Seq. Because this is the type of data for which sequence count correction is most important. Hence we do not include the genomic reads. The current version contains 2,265 entries from 45 organisms, with read lengths from 17 to 100bp. Via a searchable and browseable interface users can obtain corrected data in formats useful for transcriptomic analysis. We provide the data grouped according to the genome, type of studies and submitter in TAB , PSL and BAM format. They contain the mapping position and annotation of reads observed and corrected counts. | read count, genome mapping, short read, genome, transcript, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: NCBI Sequence Read Archive (SRA) is related to: RECOUNT is related to: LAST has parent organization: National Institute of Advanced Industrial Science and Technology |
Japanese Ministry of Education Culture Sports Science and Technology MEXT 221S002 | PMID:22139942 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151592, biotools:recountdb | https://bio.tools/recountdb | SCR_006117 | 2026-02-14 02:05:54 | 0 |
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Welcome to the NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on NIF then you can log in from here to get additional features in NIF such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
