Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
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 | 2026-07-28 09:41:22 | 0 | |||||
|
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 | 2026-07-28 09:41:22 | 1 | |||||
|
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 | 2026-07-28 09:41:31 | 6 | |||||
|
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 | 2026-07-28 09:41:32 | 6 | ||||
|
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 | 2026-07-28 09:41:27 | 0 | |||||
|
ProRepeat Resource Report Resource Website 1+ mentions |
ProRepeat (RRID:SCR_006113) | ProRepeat | data or information resource, database | ProRepeat is an integrated curated repository and analysis platform for in-depth research on the biological characteristics of amino acid tandem repeats. ProRepeat collects repeats from all proteins included in the UniProt knowledgebase, together with 85 completely sequenced eukaryotic proteomes contained within the RefSeq collection. It contains non-redundant perfect tandem repeats, approximate tandem repeats and simple, low-complexity sequences, covering the majority of the amino acid tandem repeat patterns found in proteins. The ProRepeat web interface allows querying the repeat database using repeat characteristics like repeat unit and length, number of repetitions of the repeat unit and position of the repeat in the protein. Users can also search for repeats by the characteristics of repeat containing proteins, such as entry ID, protein description, sequence length, gene name and taxon. ProRepeat offers powerful analysis tools for finding biological interesting properties of repeats, such as the strong position bias of leucine repeats in the N-terminus of eukaryotic protein sequences, the differences of repeat abundance among proteomes, the functional classification of repeat containing proteins and GC content constrains of repeats' corresponding codons. | amino acid, tandem, repeat, protein, sequence, nucleotide sequence, repeat fragment, protein repeat, proteome, sequence length, gene, taxon, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: UniProtKB is related to: RefSeq has parent organization: Wageningen University and Research Centre; Gelderland; Netherlands |
PMID:22102581 | nlx_151587, biotools:prorepeat | https://bio.tools/prorepeat | SCR_006113 | 2026-07-28 09:41:27 | 1 | |||||||
|
ProtChemSI Resource Report Resource Website 1+ mentions |
ProtChemSI (RRID:SCR_006115) | ProtChemSI | data or information resource, database | The database of protein-chemical structural interactions includes all existing 3D structures of complexes of proteins with low molecular weight ligands. When one considers the proteins and chemical vertices of a graph, all these interactions form a network. Biological networks are powerful tools for predicting undocumented relationships between molecules. The underlying principle is that existing interactions between molecules can be used to predict new interactions. For pairs of proteins sharing a common ligand, we use protein and chemical superimpositions combined with fast structural compatibility screens to predict whether additional compounds bound by one protein would bind the other. The current version includes data from the Protein Data Bank as of August 2011. The database is updated monthly. | protein, chemical, 3d structure, biological network, interaction, ligand, prediction, fasta, fasta sequence, smiles string, complex, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: Heidelberg University; Baden-Wurttemberg; Germany |
PMID:21573205 | Acknowledgement requested | nlx_151590, biotools:protchemsi | https://bio.tools/protchemsi | SCR_006115 | Protein-Chemical Structural Interactions, ProtChemSI: protein-chemical interaction database, ProtChemSI - the database of protein-chemical structural interactions | 2026-07-28 09:41:31 | 3 | |||||
|
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 | 2026-07-28 09:41:26 | 120 | |||||
|
SILVA Resource Report Resource Website 10000+ mentions |
SILVA (RRID:SCR_006423) | data or information resource, database | High quality ribosomal RNA databases providing comprehensive, quality checked and regularly updated datasets of aligned small (16S/18S, SSU) and large subunit (23S/28S, LSU) ribosomal RNA (rRNA) sequences for all three domains of life (Bacteria, Archaea and Eukarya). Supplementary services include a rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. The extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches. Alignment tool, SINA, is available for download as well as available for use online. | ribosomal rna, gene sequence, gene, sequence, alignment, taxonomy, 16s, 18s, 23s, 28s, phylogeny, probe, primer, alignment service, fish, arb, ribocon, geoblast, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is affiliated with: RNAcentral is related to: ARB project is related to: SINA is related to: European ribosomal RNA database has parent organization: German Collection of Microorganisms and Cell Cultures |
German Collection of Microorganisms and Cell Cultures | PMID:23193283 PMID:24293649 PMID:17947321 |
biotools:silva, OMICS_01514, nif-0000-03464, r3d100011323, rid_000103 | https://bio.tools/silva, https://doi.org/10.17616/R3FP60 | SCR_006423 | SILVA rRNA database, SILVA - high quality ribosomal RNA databases | 2026-07-28 09:41:35 | 13429 | ||||||
|
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 | 2026-07-28 09:41:25 | 5 | |||||
|
ViralZone Resource Report Resource Website 100+ mentions |
ViralZone (RRID:SCR_006563) | ViralZone | data or information resource, database | ViralZone is a SIB Swiss Institute of Bioinformatics web-resource for all viral genus and families, providing general molecular and epidemiological information, along with virion and genome figures. Each virus or family page gives an easy access to UniProtKB/Swiss-Prot viral protein entries. ViralZone project is handled by the virus program of SwissProt group. Proteins popups were developed in collaboration with Prof. Christian von Mering and Andrea Franceschini, Bioinformatics Group , Institute of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland, funded in part by the SIB Swiss Institute of bioinformatics. All pictures in ViralZone are copyright of the SIB Swiss Institute of Bioinformatics. | dna virus, rna virus, virus, dna, rna, genomic, proteomic, sequence, reference strain, image, virion, retro-transcribing virus, genome, bibliographic, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: SIB Swiss Institute of Bioinformatics |
Swiss Institute of Bioinformatics | PMID:20947564 | biotools:viralzone, r3d100013314, nlx_144372 | https://bio.tools/viralzone, https://doi.org/10.17616/R31NJMRM | http://www.expasy.org/viralzone/ | SCR_006563 | Viral Zone | 2026-07-28 09:41:37 | 128 | ||||
|
neuroelectro Resource Report Resource Website 10+ mentions |
neuroelectro (RRID:SCR_006274) | NeuroElectro | data or information resource, database | A database of elecrophysiological properties text-mined from the biomedical literature as a function of neuron type. Specifically, NeuroElectro seeks to extract information about the electrophysiological properties (e.g. resting membrane potentials and membrane time constants) of diverse neuron types from the existing literature and place it into a centralized database. There are 252 neurons currently available, with the naming convention established in NeuroLex. | electrophysiology, text mining, cellular neurophysiology, neuron, neuron electrophysiology, bio.tools |
is used by: NIF Data Federation is listed by: Debian is listed by: bio.tools is related to: NeuroLex has parent organization: Carnegie Mellon University; Pennsylvania; USA |
Open unspecified license | nlx_151885, BioTools:neuroelectro, biotools:neuroelectro, r3d100011798 | https://bio.tools/neuroelectro, https://bio.tools/neuroelectro, https://bio.tools/neuroelectro, https://doi.org/10.17616/R3BP7F | SCR_006274 | Neuro Electro, NeuroElectro: organizing information on cellular neurophysiology | 2026-07-28 09:41:30 | 27 | ||||||
|
Scansite Resource Report Resource Website 100+ mentions |
Scansite (RRID:SCR_007026) | data or information resource, database | Scansite searches for motifs within proteins that are likely to be phosphorylated by specific protein kinases or bind to domains such as SH2 domains, 14-3-3 domains or PDZ domains. The Motifscanner program utilizes an entropy approach that assesses the probability of a site matching the motif using the selectivity values and sums the logs of the probability values for each amino acid in the candidate sequence. The program then indicates the percentile ranking of the candidate motif in respect to all potential motifs in proteins of a protein database. When available, percentile scores of some confirmed phosphorylation sites for the kinase of interests or confirmed binding sites of the domain of interest are provided for comparison with the scores of the candidate motifs. | binding, kinase, phosphorylate, protein, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian |
biotools:scansite, nif-0000-20914 | https://bio.tools/scansite | SCR_007026 | Scansite | 2026-07-28 09:41:40 | 297 | ||||||||
|
HIstome: The Histone Infobase Resource Report Resource Website 1+ mentions |
HIstome: The Histone Infobase (RRID:SCR_006972) | HIstome | data or information resource, database | Database of human histone variants, sites of their post-translational modifications and various histone modifying enzymes. The database covers 5 types of histones, 8 types of their post-translational modifications and 13 classes of modifying enzymes. Many data fields are hyperlinked to other databases (e.g. UnprotKB/Swiss-Prot, HGNC, OMIM, Unigene etc.). Additionally, this database also provides sequences of promoter regions (-700 TSS +300) for all gene entries. These sequences were extracted from the UCSC genome browser. Sites of post-translational modifications of histones were manually searched from PubMed listed literature. Current version contains information for about ~50 histone proteins and ~150 histone modifying enzymes. HIstome is a combined effort of researchers from two institutions, Advanced Center for Treatment, Research and Education in Cancer (ACTREC), Navi Mumbai and Center of Excellence in Epigenetics (CoEE), Indian Institute of Science Education and Research (IISER), Pune. | histone, protein, enzyme, modifying enzyme, post-translational modification, variant, promoter region, gene, epigenetic regulation, india, bio.tools |
is listed by: re3data.org is listed by: Debian is listed by: bio.tools has parent organization: ACTREC - Advanced Centre for Treatment Research and Education in Cancer |
Cancer | ACTREuropean Union - Advanced Centre for Treatment Research and Education in Cancer ; Government of India |
PMID:22140112 | Free, Public, Acknowledgement requested | biotools:histome, r3d100010977, nlx_151419 | http://www.actrec.gov.in/histome/, https://bio.tools/histome, https://doi.org/10.17616/R3RD0R | http://www.histome.net/ | SCR_006972 | 2026-07-28 09:41:42 | 1 | |||
|
Midbody, Centrosome and Kinetochore Resource Report Resource Website 10+ mentions |
Midbody, Centrosome and Kinetochore (RRID:SCR_007052) | MiCroKit | data or information resource, database | MiCroKit database is the first integrative resource to pin point most of identified components and related scientific information of midbody, centrosome and kinetochore. In this work, we have collected all proteins identified to be localized on kinetochore, centrosome, and/or midbody from two fungi (S. cerevisiae and S. pombe) and five animals, including C. elegans, D. melanogaster, X. laevis, M. musculus and H. sapiens. From the related literature of PubMed, numerous proteins have been manually curated to be localized on at least one of the sub-cellular localizations of kinetochore, centrosome and midbody. And to promise the quality of data, based on the rationale of Seeing is believing (Bloom K et al., 2005), these proteins have been unambiguously observed under fluorescent microscope as directly supportive evidences. Then an integrated and searchable database MiCroKit - Midbody, Centrosome and Kinetochore has been established. The version 1.0 of MiCroKit database was set up on Nov. 2nd, 2005, containing 1,065 unique proteins. The MiCroKit version 2.0 was released on Jun. 5th, 2006, with 1,120 entries. Currently, the MiCroKit 3.0 database was updated on July 9, 2009, containing 1,489 unique protein entries. The online service of MiCroKit 3.0 was implemented in PHP + MySQL + JavaScript. And the local packages of MiCroKit 3.0 were developed in JAVA 1.5 (J2SE). The database will be updated routinely as new microkit proteins are reported. | bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Huazhong University of Science and Technology; Wuhan; China |
PMID:19783819 | r3d100010550, nif-0000-03126, biotools:microkit | https://bio.tools/microkit, https://doi.org/10.17616/R32P6K | http://bioinformatics.lcd-ustc.org/microkit/ | SCR_007052 | MiCroKit - An Integrated Database of Midbody Centrosome and Kinetochore, MiCroKit - An Integrated Database of Midbody Centrosome Kinetochore, MiCroKit database, MiCroKit - Midbody Centrosome and Kinetochore, MiCroKit - Midbody Centrosome Kinetochore | 2026-07-28 09:41:40 | 11 | |||||
|
BioCarta Pathways Resource Report Resource Website 1000+ mentions |
BioCarta Pathways (RRID:SCR_006917) | data or information resource, database | BioCarta Pathways allows users to observe how genes interact in dynamic graphical models. Online maps available within this resource depict molecular relationships from areas of active research. In an open source approach, this community-fed forum constantly integrates emerging proteomic information from the scientific community. It also catalogs and summarizes important resources providing information for over 120,000 genes from multiple species. Find both classical pathways as well as current suggestions for new pathways. | graphical model, molecular interaction, molecular relationship, pathway, proteomics, bio.tools, FASEB list |
is used by: Database for Annotation Visualization and Integrated Discovery is listed by: bio.tools is listed by: Debian is related to: Pathway Interaction Database is related to: DAVID is related to: ConsensusPathDB is related to: Babelomics is related to: ClueGO is related to: KOBAS is related to: hiPathDB - human integrated Pathway DB with facile visualization |
nif-0000-02604, biotools:biocarta | https://bio.tools/biocarta | http://www.biocarta.com/genes/allPathways.asp | SCR_006917 | BioCarta Pathways | 2026-07-28 09:41:41 | 1118 | |||||||
|
IMGT/LIGM-DB Resource Report Resource Website 10+ mentions |
IMGT/LIGM-DB (RRID:SCR_006931) | IMGT LIGM, IMGT/LIGM | data or information resource, database | IMGT/LIGM-DB is a comprehensive database of immunoglobulin (IG) and T cell receptor (TR) nucleotide sequences from human and other vertebrate species (270). IMGT/LIGM-DB includes all germline (non-rearranged) and rearranged IG and TR genomic DNA (gDNA) and complementary DNA (cDNA) sequences published in generalist databases. IMGT/LIGM-DB allows searches from the Web interface according to biological and immunogenetic criteria through five distinct modules depending on the user interest. Users can search the catalogue by accession number, mnemonic, definition, creation date, length, or annotation level. They also have the option to search through taxonomic classification, keywords, and annotated labels. For a given entry, nine types of display are available including the IMGT flat file, the translation of the coding regions and the analysis by the IMGT/V-QUEST tool (see parent org. below). IMGT/LIGM-DB distributes expertly annotated sequences. The annotations hugely enhance the quality and the accuracy of the distributed detailed information. They include the sequence identification, the gene and allele classification, the constitutive and specific motif description, the codon and amino acid numbering, and the sequence obtaining information, according to the main concepts of IMGT-ONTOLOGY. They represent the main source of IG and TR gene and allele knowledge stored in IMGT/GENE-DB and in the IMGT reference directory., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | nucleotide sequence, gold standard or authority, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: IMGT - the international ImMunoGeneTics information system |
PMID:16381979 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:IMGt_LIGM-Db, nif-0000-03015, r3d100012534 | https://bio.tools/IMGT_LIGM-DB, https://doi.org/10.17616/R3VV2X | http://imgt.cines.fr, http://imgt.cines.fr/cgi-bin/IMGTlect.jv | SCR_006931 | IMGT LIGM, IMGT/LIGM, ImMunoGeneTics/Laboratoire d''ImmunoGenetique Moleculaire-Database | 2026-07-28 09:41:39 | 16 | ||||
|
Database of Arabidopsis Transcription Factors Resource Report Resource Website 10+ mentions |
Database of Arabidopsis Transcription Factors (RRID:SCR_007101) | DATF | data or information resource, database | Database that collects all arabidopsis transcription factors (totally 1922 Loci; 2290 Gene Models) and classifies them into 64 families. It uses not only locus (gene), but also gene model (transcript, protein) and the detail information is for each gene model not for locus. It adds multiple alignment of the DNA-binding domain of each family, Neighbor-Joining phylogenetic tree of each family, the GO annotation, homolog with the Database of Rice Transcription Factors (DRTF). It also keeps old information items such as the unique cloned and sequenced information of about 1200 transcription factors, protein domains, 3D structure information with BLAST hits against PDB, predicted Nuclear Location Signals, UniGene information, as well as links to literature reference. | gene, alignment, arabidopsis, binding, clone, dna, domain, locus, phylogenetic tree, transcription, chromosome, transcription factor, blast, family, bio.tools, FASEB list |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Peking University; Beijing; China |
State Key Laboratory of Protein and Plant Gene Research ; National Natural Science Foundation of China 31470330; China 863 Programs 2006AA02Z334; China Postdoctoral Science Foundation Grant 2014M560017 |
PMID:15731212 | Free | nif-0000-21112, OMICS_00551, biotools:datf | https://bio.tools/datf | SCR_007101 | 2026-07-28 09:41:51 | 36 | |||||
|
Polygenic Pathways Resource Report Resource Website 1+ mentions |
Polygenic Pathways (RRID:SCR_006962) | data or information resource, database | Database of disease genes and risk factors and of host pathogen/interactomes. Lists genes, pathways and environmental risk factors positively associated with diseases and conditions such as Alzheimer's disease, schizophrenia, multiple sclerosis, childhood obesity, anorexia nervosa, HIV-1/AIDS, and helicobacter pylori. Details of polymorphisms as well as negative/positive association data can be found via Useful links. Throughout the site are links to Entrez Gene and Pubmed. | genetic disease, risk factor, host pathogen, interactome, polygenic pathway, bio.tools |
is listed by: bio.tools is listed by: Debian is parent organization of: Polygenic Pathways Jobs is parent organization of: PolygenicBlog |
Alzheimer's disease, Schizophrenia, Bipolar disorder, depression, Parkinson's disease, Huntington's disease, Multiple sclerosis, Cystic fibrosis, Childhood obesity, Chronic fatigue syndrome, Autism, Anorexia nervosa, Attention deficit hyperactivity disorder, HIV-1/AIDS | Google ; Amazon |
Free, Freely available | nif-0000-00514, biotools:polygenicpathways, SCR_015716 | https://bio.tools/polygenicpathways | SCR_006962 | PolygenicPathways, Polygenic Signaling Pathways | 2026-07-28 09:41:39 | 4 | |||||
|
HaploReg Resource Report Resource Website 1000+ mentions |
HaploReg (RRID:SCR_006796) | HaploReg | data or information resource, database | HaploReg is a tool for exploring annotations of the noncoding genome at variants on haplotype blocks, such as candidate regulatory SNPs at disease-associated loci. Using linkage disequilibrium (LD) information from the 1000 Genomes Project, linked SNPs and small indels can be visualized along with their predicted chromatin state in nine cell types, conservation across mammals, and their effect on regulatory motifs. HaploReg is designed for researchers developing mechanistic hypotheses of the impact of non-coding variants on clinical phenotypes and normal variation. | chromatin state, conservation, regulatory motif, alteration, variant, chromatin, motif, annotation, genome, variation, genome-wide association study, refsnp, refseq gene, snp, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: Broad Institute |
NHGRI R01-HG004037; NHGRI RC1-HG005334; NSF 0644282 |
PMID:22064851 | biotools:HaploReg, nlx_151407 | http://compbio.mit.edu/HaploReg, https://bio.tools/HaploReg | SCR_006796 | 2026-07-28 09:41:39 | 1004 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET 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 dkNET then you can log in from here to get additional features in dkNET 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 dkNET 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.
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
