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 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Pathbase Resource Report Resource Website 10+ mentions |
Pathbase (RRID:SCR_006141) | Pathbase | controlled vocabulary, data access protocol, data or information resource, data repository, database, image collection, image repository, ontology, service resource, software resource, storage service resource, web service | Database of histopathology photomicrographs and macroscopic images derived from mutant or genetically manipulated mice. The database currently holds more than 1000 images of lesions from mutant mice and their inbred backgrounds and further images are being added continuously. Images can be retrieved by searching for specific lesions or class of lesion, by genetic locus, or by a wide set of parameters shown on the Advanced Search Interface. Its two key aims are: * To provide a searchable database of histopathology images derived from experimental manipulation of the mouse genome or experiments conducted on genetically manipulated mice. * A reference / didactic resource covering all aspects of mouse pathology Lesions are described according to the Pathbase pathology ontology developed by the Pathbase European Consortium, and are available at the site or on the Gene Ontology Consortium site - OBO. As this is a community resource, they encourage everyone to upload their own images, contribute comments to images and send them their feedback. Please feel free to use any of the SOAP/WSDL web services. (under development) | histopathology, photomicrograph, macroscopic, mutant, genetically manipulated, pathology, transgenic, rodent, mpath ontology, mouse pathology ontology, skinbase, genotype, skin, gene, tissue, hair, mutant mouse strain, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: University of Cambridge; Cambridge; United Kingdom is parent organization of: Mouse Pathology Ontology |
Lesion, Mutant mouse strain, Inbred mouse strain | North American Hair Research Society ; Ellison Medical Foundation ; European Union QLRI-1999-00320; European Union LSHG-CT-2006-037188; NCI CA089713; NCRR RR17436; NIH AR49288 |
PMID:20587689 PMID:15623888 PMID:14681470 |
Except where otherwise noted, Creative Commons Attribution-NonCommercial-ShareAlike License, v3 Unported, Images on the database remain the property of the persons generously allowing their images to be used and are acknowledged within each record. Images should not be modified, Reproduced or disseminated without the express permission of the submitter. | biotools:pathbase, nlx_151637 | https://bio.tools/pathbase | SCR_006141 | Pathbase - European mutant mouse pathology database | 2026-09-03 04:58:03 | 11 | |||
|
GOrilla: Gene Ontology Enrichment Analysis and Visualization Tool Resource Report Resource Website 500+ mentions |
GOrilla: Gene Ontology Enrichment Analysis and Visualization Tool (RRID:SCR_006848) | GOrilla | analysis service resource, data analysis service, production service resource, service resource | A tool for identifying and visualizing enriched GO terms in ranked lists of genes. It can be run in one of two modes: * Searching for enriched GO terms that appear densely at the top of a ranked list of genes or * Searching for enriched GO terms in a target list of genes compared to a background list of genes. | gene, genetic, ontology, ontology or annotation visualization, statistical analysis, term enrichment, visualization, analysis, protein |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology |
European Union FP6 ; Yeshaya Horowitz Association |
PMID:19192299 | Acknowledgement requested, Free, Public | nlx_80425, OMICS_02282 | SCR_006848 | Gene Ontology enRIchment anaLysis and visuaLizAtion tool, GOrilla: Gene Ontology Enrichment Analysis Visualization Tool | 2026-09-03 05:02:23 | 524 | |||||
|
PolyA DB Resource Report Resource Website 100+ mentions |
PolyA DB (RRID:SCR_007867) | PolyA_DB | data or information resource, database | A database of mRNA polyadenylation sites. PolyA_DB version 1 contains human and mouse poly(A) sites that are mapped by cDNA/EST sequences. PolyA_DB version 2 contains poly(A) sites in human, mouse, rat, chicken and zebrafish that are mapped by cDNA/EST and Trace sequences. Sequence alignments between orthologous sites are available. PolyA_SVM predicts poly(A) sites using 15 cis elements identified for human poly(A) sites. | FASEB list | has parent organization: University of Medicine and Dentistry of New Jersey; New Jersey; USA | SCR_007867 | 2026-09-03 05:02:44 | 105 | ||||||||||
|
Gemma Resource Report Resource Website 1000+ mentions |
Gemma (RRID:SCR_008007) | Gemma | data or information resource, database | Resource for reuse, sharing and meta-analysis of expression profiling data. Database and set of tools for meta analysis, reuse and sharing of genomics data. Targeted at analysis of gene expression profiles. Users can search, access and visualize coexpression and differential expression results. | chip, microarray, functional genomics, gene expression, coexpression, differential expression, FASEB list |
is used by: NIF Data Federation is used by: Integrated Data Annotation is listed by: Debian is listed by: SoftCite is related to: Gene Ontology is related to: Gene Expression Omnibus is related to: Phenocarta has parent organization: University of British Columbia; British Columbia; Canada is parent organization of: Neurocarta |
Canadian Foundation for Innovation ; Canadian Institutes for Health Research ; Michael Smith Foundation for Health Research ; NIGMS GM076990 |
PMID:22782548 | Free, Freely available | nif-0000-08127, r3d100012747 | https://sources.debian.org/src/gemma/, https://doi.org/10.17616/R36R54, https://doi.org/10.17616/R36R54 | SCR_008007 | 2026-09-03 05:02:38 | 1145 | |||||
|
Nuclear Receptor Signaling Atlas Resource Report Resource Website 100+ mentions |
Nuclear Receptor Signaling Atlas (RRID:SCR_003287) | NURSA | biomaterial supply resource, material resource | THIS RESOURCE IS NO LONGER IN SERVICE.Documented on February 25, 2022.Software tool as knowledge environment resource that accrues, develops, and communicates information that advances understanding of structure, function, and role in disease of nuclear receptors (NRs) and coregulators. It specifically seeks to elucidate roles played by NRs and coregulators in metabolism and development of metabolic disorders. Includes large validated data sets, access to reagents, new findings, library of annotated prior publications in field, and journal covering reviews and techniques.As of March 20, 2020, NURSA is succeeded by the Signaling Pathways Project (SPP). | nuclear receptor, coregulator, metabolism, metabolic disorder, type 2 diabetes, obesity, osteoporosis, lipid dysregulation, cardiovascular disease, oncology, regenerative medicine, environmental agent, genomics, proteomics, reagent, ligand, microarray, gene expression, data set, data analysis service, nuclear receptor signaling, signaling, high through put screening, receptor, ligand, journal, molecule, affinity purification, q-pcr, chip-chip, animal model, antibody, cell line, primer, transcriptomine, clinical trial, disease, drug, data set |
is used by: NIF Data Federation is used by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine lists: NURSA Transcriptomine lists: STRING lists: Nuclear Receptor Cistrome is listed by: NIH Data Sharing Repositories is listed by: NIDDK Research Resources is listed by: NIDDK Information Network (dkNET) is related to: dkCOIN is related to: Integrated Manually Extracted Annotation has parent organization: Baylor College of Medicine; Houston; Texas |
Metabolic disorder, Type 2 diabetes mellitus, Obesity, Osteoporosis, Lipid dysregulation, Cardiovascular disease, Diabetes, Cancer | NHLBI ; NICHD ; NIDDK DK097748; NIEHS |
DOI:10.1101/401729 | Free, Freely available | nif-0000-03208 | https://dknet.org/about/NURSA_Archive | http://www.nursa.org | SCR_003287 | NURSA - Nuclear Receptor Signaling Atlas, NURSA - The Nuclear Receptor Signaling Atlas | 2026-09-03 05:04:52 | 135 | ||
|
COMPARTMENTS Subcellular localization database Resource Report Resource Website 1+ mentions |
COMPARTMENTS Subcellular localization database (RRID:SCR_015561) | data or information resource, database | Web resource that integrates evidence on protein subcellular localization from manually curated literature, high-throughput screens, automatic text mining, and sequence-based prediction methods. All evidence is mapped to common protein identifiers and Gene Ontology terms, and further unify it by assigning confidence scores that facilitate comparison of the different types and sources of evidence and visualize these scores on a schematic cell. | subcellular localization database | EMBL International PhD Programme 295–2012; Luxembourg Centre for Systems Biomedicine ; Novo Nordisk Foundation Center for Protein Research ; CSIRO Office of the Chief Executive ; CSIRO Computation and Simulation Sciences |
SCR_015561 | COMPARTMENTS, Compartments Database | 2026-09-03 05:03:50 | 7 | ||||||||||
|
tfcheckpoint Resource Report Resource Website 1+ mentions |
tfcheckpoint (RRID:SCR_023880) | data or information resource, database | Collection of transcription factors annotated according to experimental and other evidence on their function as true DbTFs. Provides reference for both small scale experiments and genome scale studies. Curated compendium of specific DNA-binding RNA polymerase II transcription factors. | transcription factor, DNA-binding RNA polymerase II transcription factors, DNA-binding, RNA polymerase II transcription factors, | Liaison Committee between the Central Norway Regional Health Authority ; Norwegian Cancer Society ; Norwegian University of Science and Technology |
PMID:23933972 | Free, Freely available | SCR_023880 | 2026-09-03 05:03:57 | 4 | |||||||||
|
AceView Resource Report Resource Website 100+ mentions |
AceView (RRID:SCR_002277) | AceView/WormGenes | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented August 29, 2016. AceView offers an integrated view of the human, nematode and Arabidopsis genes reconstructed by co-alignment of all publicly available mRNAs and ESTs on the genome sequence. Our goals are to offer a reliable up-to-date resource on the genes and their functions and to stimulate further validating experiments at the bench. AceView provides a curated, comprehensive and non-redundant sequence representation of all public mRNA sequences (mRNAs from GenBank or RefSeq, and single pass cDNA sequences from dbEST and Trace). These experimental cDNA sequences are first co-aligned on the genome then clustered into a minimal number of alternative transcript variants and grouped into genes. Using exhaustively and with high quality standards the available cDNA sequences evidences the beauty and complexity of mammals' transcriptome, and the relative simplicity of the nematode and plant transcriptomes. Genes are classified according to their inferred coding potential; many presumably non-coding genes are discovered. Genes are named by Entrez Gene names when available, else by AceView gene names, stable from release to release. Alternative features (promoters, introns and exons, polyadenylation signals) and coding potential, including motifs, domains, and homologies are annotated in depth; tissues where expression has been observed are listed in order of representation; diseases, phenotypes, pathways, functions, localization or interactions are annotated by mining selected sources, in particular PubMed, GAD and Entrez Gene, and also by performing manual annotation, especially in the worm. In this way, both the anatomy and physiology of the experimentally cDNA supported human, mouse and nematode genes are thoroughly annotated. Our goals are to offer an up-to-date resource on the genes, in the hope to stimulate further experiments at the bench, or to help medical research. AceView can be queried by meaningful words or groups of words as well as by most standard identifiers, such as gene names, Entrez Gene ID, UniGene ID, GenBank accessions. | est, exon, expression, function, gene, alignment, arabidopsis, cdna, co-alignment, coding, disease, genome, genomic, human, intron, localization, mammal, mouse, mrna, nematode, pathway, phenotype, plant, polyadenylation, promoter, rat, sequence, signal, tissue, transcript, transcriptome, worm, blast, gold standard | has parent organization: NCBI | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21007, r3d100010651 | https://doi.org/10.17616/R3260G | http://www.ncbi.nih.gov/IEB/Research/Acembly/ | SCR_002277 | AceView genes, AceView/WormGenes, The AceView Genes | 2026-09-03 05:01:22 | 186 | |||||
|
miRNAMap Resource Report Resource Website 100+ mentions |
miRNAMap (RRID:SCR_003156) | miRNAMap | data or information resource, database | A database of experimentally verified microRNAs and miRNA target genes in human, mouse, rat, and other metazoan genomes. In addition to known miRNA targets, three computational tools previously developed, such as miRanda, RNAhybrid and TargetScan, were applied for identifying miRNA targets in 3'-UTR of genes. In order to reduce the false positive prediction of miRNA targets, several criteria are supported for filtering the putative miRNA targets. Furthermore, miRNA expression profiles can provide valuable clues for investigating the properties of miRNAs, such tissue specificity and differential expression in cancer/normal cell. Therefore, we performed the Q-PCR experiments for monitoring the expression profiles of 224 human miRNAs in eighteen major normal tissues in human. The cross-reference between the miRNA expression profiles and the expression profiles of its target genes can provide effective viewpoint to understand the regulatory functions of the miRNA. | microrna, genome, FASEB list |
is listed by: OMICtools has parent organization: National Chiao Tung University; Hsinchu; Taiwan |
PMID:18029362 PMID:16381831 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00408, nif-0000-03138 | SCR_003156 | 2026-09-03 05:01:10 | 251 | |||||||
|
Rat Gene Symbol Tracker Resource Report Resource Website 10+ mentions |
Rat Gene Symbol Tracker (RRID:SCR_003261) | RGST | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented September 2, 2016. Database for defining official rat gene symbols. It includes rat gene symbols from three major sources: the Rat Genome Database (RGD), Ensembl, and NCBI-Gene. All rat symbols are compared with official symbols from orthologous human genes as specified by the Human Gene Nomenclature Committee (HGNC). Based on the outcome of the comparisons, a rat gene symbol may be selected. Rat symbols that do not match a human ortholog undergo a strict procedure of comparisons between the different rat gene sources as well as with the Mouse Genome Database (MGD). For each rat gene this procedure results in an unambiguous gene designation. The designation is presented as a status level that accompanies every rat gene symbol suggested in the database. The status level describes both how a rat symbol was selected, and its validity. Rat Gene Symbol Tracker approves rat gene symbols by an automatic procedure. The rat genes are presented with links to RGD, Ensembl, NCBI Gene, MGI and HGNC. RGST ensures that each acclaimed rat gene symbol is unique and follows the guidelines given by the RGNC. To each symbol a status level associated, describing the gene naming process. | gene, orthology, naming, gene symbol, nomenclature, human, mouse |
is related to: Rat Genome Database (RGD) is related to: Entrez Gene is related to: Ensembl is related to: Mouse Genome Informatics (MGI) is related to: HGNC has parent organization: RatMap |
Swedish MRC ; Nilsson-Ehle Foundation ; Sven and Lilly Lawski Foundation ; Erik Philip-Sorensen Foundation ; Wilhelm and Martina Lundgren Research Foundation ; SWEGENE Foundation |
PMID:18215257 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31426 | SCR_003261 | RGST (Rat Gene Symbol Tracker), RGST - Rat Gene Symbol Tracker | 2026-09-03 05:01:23 | 14 | |||||
|
Distant Regulatory Elements Resource Report Resource Website 10+ mentions |
Distant Regulatory Elements (RRID:SCR_003058) | DiRE | analysis service resource, data analysis service, production service resource, service resource | Web server based on the Enhancer Identification (EI) method, to determine the chromosomal location and functional characteristics of distant regulatory elements (REs) in higher eukaryotic genomes. The server uses gene co-expression data, comparative genomics, and combinatorics of transcription factor binding sites (TFBSs) to find TFBS-association signatures that can be used for discriminating specific regulatory functions. DiRE's unique feature is the detection of REs outside of proximal promoter regions, as it takes advantage of the full gene locus to conduct the search. DiRE can predict common REs for any set of input genes for which the user has prior knowledge of co-expression, co-function, or other biologically meaningful grouping. The server predicts function-specific REs consisting of clusters of specifically-associated TFBSs, and it also scores the association of individual TFs with the biological function shared by the group of input genes. Its integration with the Array2BIO server allows users to start their analysis with raw microarray expression data. | regulatory element, enhancer identification, genome, prediction, transcription factor binding site, gene, co-expression, co-function, function, transcription factor, comparative genomics, regulatory function, gene locus, chromosome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: NCBI |
NLM ; Intramural Research Program |
PMID:18487623 | Free, Freely available | nif-0000-30448, biotools:dire | https://bio.tools/dire | SCR_003058 | Distant Regulatory Elements of co-regulated genes | 2026-09-03 05:01:08 | 25 | ||||
|
INMEX Resource Report Resource Website 10+ mentions |
INMEX (RRID:SCR_004173) | INMEX | analysis service resource, data analysis service, production service resource, service resource | A web-based tool to support meta-analysis of multiple gene-expression data sets, as well as to enable integration of data sets from gene expression and metabolomics experiments. INMEX contains three functional modules. The data preparation module supports flexible data processing, annotation and visualization of individual data sets. The statistical analysis module allows researchers to combine multiple data sets based on P-values, effect sizes, rank orders and other features. The significant genes can be examined in functional analysis module for enriched Gene Ontology terms or Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, or expression profile visualization. INMEX has built-in support for common gene/metabolite identifiers (IDs), as well as 45 popular microarray platforms for human, mouse and rat. Complex operations are performed through a user-friendly web interface in a step-by-step manner. | gene expression, meta-analysis, metabolomics, pathway, gene, metabolite, visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology is related to: KEGG is related to: Human Metabolome Database has parent organization: University of British Columbia; British Columbia; Canada |
Killam Trust ; Canadian Institutes of Health Research |
PMID:23766290 | Acknowledgement requested | biotools:inmex, OMICS_01546 | https://bio.tools/inmex | SCR_004173 | INtegrative Meta-analysis of EXpression data, INMEX - INtegrative Meta-analysis of EXpression data | 2026-09-03 05:01:38 | 19 | ||||
|
BrainNavigator Resource Report Resource Website 1+ mentions |
BrainNavigator (RRID:SCR_008289) | BrainNavigator | atlas, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented December 31, 2013. An interactive atlas and 3D brain software for research, structure analysis, and education, it offers six atlases representing four species: the mouse, rat, monkey and human. The stereotaxic coordinates atlases are available for all four species and the rodent models have additional chemoarchitectonic atlases. BrainNavigator helps locate specific areas of the brain, making visualizing and experimental planning in the brain easier. *Plan: Browse 6 Atlases, Visualize with 3D models, Search Literature, Analyze gene expression, Identify connections *Publish: Access reference tools, Use and print images for publication, Search literature *Propose: Use and print images for proposals, Search literature, Locate gene expression in 2D and 3D, Identify connections *Produce: Simulate injections, Customize new coordinates, virtually slice sections, overlay atlas maps on your own images, create personal atlas maps With BrainNavigator, you''ll gain 24/7 access to their powerful 3D brain interactive software tool that helps further research in the neurosciences. In addition, their vast library of widely respected and referenced brain publications will provide a plethora of information on the most current brain research available. As publisher of the gold standard in brain atlas publications authored by the team around the leading brain cartographers George Paxinos and Charles Watson, they are pleased to bring an advanced tool to today''s neuroscientists and educators. Combining atlas content and 3D capabilities based on technologies from the Allen Institute for Brain Science, this online workflow solution brings brain research, analysis and education tools to your fingertips. | 3d, 2d, acetylcholinesterase, anatomy, brain, coronal, reconstruction, sagittal, sterotaxic, visualization, molecular neuroanatomy resource, training resource, connection, literature, gene expression, image | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-24037 | SCR_008289 | Brain Navigator | 2026-09-03 05:03:03 | 5 | ||||||||
|
APPRIS Resource Report Resource Website 50+ mentions |
APPRIS (RRID:SCR_012019) | APPRIS | data or information resource, database | A database that houses annotations of human splice isoforms. It adds reliable protein structural and functional data and information from cross-species conservation. A visual representation of the annotations for each gene allows users to easily identify functional changes brought about by splicing events. In addition to collecting, integrating and analyzing reliable predictions of the effect of splicing events, it also selects a single reference sequence for each gene, termed the principal isoform, based on the annotations of structure, function and conservation for each transcript. | isoform, function, annotation, splice, reference sequence, structure, conservation, transcript, FASEB list |
is listed by: OMICtools has parent organization: Spanish National Cancer Research Center |
PMID:23161672 | Free | OMICS_01881 | SCR_012019 | APPRIS - A system for annotating alternative splice isoforms | 2026-09-03 05:03:32 | 97 | ||||||
|
Spliceman Resource Report Resource Website 1+ mentions |
Spliceman (RRID:SCR_005354) | Spliceman | analysis service resource, data analysis service, production service resource, service resource | An online tool that takes a set of DNA sequences with point mutations and returns a ranked list to predict the effects of point mutations on pre-mRNA splicing. The current implementation includes 11 genomes: human, chimp, rhesus, mouse, rat, dog, cat, chicken, guinea pig, frog and zebrafish. | dna sequence, pre-mrna, splicing, pre-mrna splicing, point mutation, mutation, sequence variation, fasta |
is listed by: OMICtools has parent organization: Brown University; Rhode Island; USA |
PMID:22328782 | Free, Non-commercial, Commercial use requires license | OMICS_02259 | SCR_005354 | 2026-09-03 05:02:01 | 5 | |||||||
|
Peptide Sequence Database Resource Report Resource Website |
Peptide Sequence Database (RRID:SCR_005764) | PepSeqDB | data or information resource, database | The Peptide Sequence Database contains putative peptide sequences from human, mouse, rat, and zebrafish. Compressed to eliminate redundancy, these are about 40 fold smaller than a brute force enumeration. Current and old releases are available for download. Each species'' peptide sequence database comprises peptide sequence data from releveant species specific UniGene and IPI clusters, plus all sequences from their consituent EST, mRNA and protein sequence databases, namely RefSeq proteins and mRNAs, UniProt''s SwissProt and TrEMBL, GenBank mRNA, ESTs, and high-throughput cDNAs, HInv-DB, VEGA, EMBL, IPI protein sequences, plus the enumeration of all combinations of UniProt sequence variants, Met loss PTM, and signal peptide cleavages. The README file contains some information about the non amino-acid symbols O (digest site corresponding to a protein N- or C-terminus) and J (no digest sequence join) used in these peptide sequence databases and information about how to configure various search engines to use them. Some search engines handle (very) long sequences badly and in some cases must be patched to use these peptide sequence databases. All search engines supported by the PepArML meta-search engine can (or can be patched to) successfully search these peptide sequence databases. | peptide, sequence | has parent organization: Edwards Lab | nlx_149230 | SCR_005764 | 2026-09-03 05:02:00 | 0 | |||||||||
|
DisGeNET Resource Report Resource Website 1000+ mentions |
DisGeNET (RRID:SCR_006178) | DisGeNET | data or information resource, database | Database and discovery platform containing publicly available collections of genes and variants associated to human diseases. Integrates data from curated repositories, GWAS catalogues, animal models and scientific literature. | gene, disease, gene-disease association, gene-disease ontology, gene-disease text mining, text mining, genotype-phenotype, rdf, genotype, phenotype, gene-disease, variant-disease, FASEB list |
uses: Comparative Toxicogenomics Database (CTD) uses: Genetic Association Database uses: UniProt uses: Mouse Genome Database uses: Reactome uses: Unified Medical Language System uses: Entrez Gene uses: MEDLINE uses: National Center for Biomedical Ontology uses: National Cancer Institute Thesaurus uses: Human Phenotype Ontology uses: Semanticscience Integrated Ontology uses: Cytoscape uses: Literature-derived human gene-disease network uses: Rat Genome Database (RGD) uses: National Library of Medicine uses: PsyGeNET is used by: HmtPhenome is listed by: 3DVC is affiliated with: Gene-Disease Association Type Ontology has parent organization: Pompeu Fabra University; Barcelona; Spain |
EFPIA ; Elixir-Excelerate ; European Union Horizon 2020 ; European Union Seventh Framework Programme ; Innovative Medicines Initiative Joint Undertaking ; Instituto de Salud Carlos III-Fondo Europeo de Desarrollo Regional |
PMID:27924018 PMID:25877637 PMID:21695124 PMID:20861032 |
Restricted | nlx_151710, r3d100013301 | https://doi.org/10.17616/R31NJMR9 | SCR_006178 | database of gene disease associations | 2026-09-03 05:02:05 | 3128 | ||||
|
GeneTrail Resource Report Resource Website 100+ mentions |
GeneTrail (RRID:SCR_006250) | GeneTrail | analysis service resource, data analysis service, production service resource, service resource | A web-based application that analyzes gene sets for statistically significant accumulations of genes that belong to some functional category. Considered category types are: KEGG Pathways, TRANSPATH Pathways, TRANSFAC Transcription Factor, GeneOntology Categories, Genomic Localization, Protein-Protein Interactions, Coiled-coil domains, Granzyme-B clevage sites, and ELR/RGD motifs. The web server provides two statistical approaches, "Over-Representation Analysis" (ORA) comparing a reference set of genes to a test set, and "Gene Set Enrichment Analysis" (GSEA) scoring sorted lists of genes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | pathway, microarray, enrichment, genomic, proteomic, function, transcription factor, genomic localization, protein-protein interaction, coiled-coil domain, granzyme-b clevage site, motif, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: KEGG is related to: TRANSPATH is related to: TRANSFAC is related to: Gene Ontology has parent organization: Saarland University; Saarbrucken; Germany |
PMID:17526521 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:genetrail, OMICS_02236 | https://bio.tools/genetrail | SCR_006250 | 2026-09-03 05:01:54 | 114 | ||||||
|
Adult Wistar Rat Atlas Resource Report Resource Website 1+ mentions |
Adult Wistar Rat Atlas (RRID:SCR_006288) | Adult Wistar Rat Atlas | atlas, data or information resource | Multidimensional atlas of the adult Wistar rat brain based on magnetic resonance histology (MRH). The atlas has been carefully aligned with the widely used Paxinos-Watson atlas based on optical sections to allow comparisons between histochemical and immuno-marker data, and the use of the Paxinos-Watson abbreviation set. Our MR atlas attempts to make a seamless connection with the advantageous features of the Paxinos-Watson atlas, and to extend the utility of the data through the unique capabilities of MR histology: a) ability to view the brain in the skull with limited distortion from shrinkage or sectioning; b) isotropic spatial resolution, which permits sectioning along any arbitrary axis without loss of detail; c) three-dimensional (3D) images preserving spatial relationships; and d) widely varied contrast dependent on the unique properties of water protons. 3D diffusion tensor images (DTI) at what we believe to be the highest resolution ever attained in the rat provide unique insight into white matter structures and connectivity. The 3D isotropic data allow registration of multiple data sets into a common reference space to provide average atlases not possible with conventional histology. The resulting multidimensional atlas that combines Paxinos-Watson with multidimensional MRH images from multiple specimens provides a new, comprehensive view of the neuroanatomy of the rat and offers a collaborative platform for future rat brain studies. To access the atlas, click view supplementary materials in CIVMSpace at the bottom of the following webpage. | magnetic resonance histology, wistar rat, brain, mri, diffusion tensor imaging, histology, magnetic resonance imaging, neuroanatomy, histology | has parent organization: Duke University; North Carolina; USA | NIBIB ; NCRR P41 RR005959 |
PMID:22634863 | Free for academic use, We ask that you provide contact information, Acknowledgement required | nlx_151935 | SCR_006288 | Multidimensional Magnetic Resonance Histology Atlas of the Wistar Rat Brain | 2026-09-03 05:01:55 | 6 | |||||
|
PEpiD Resource Report Resource Website 1+ mentions |
PEpiD (RRID:SCR_000235) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A database to store the curated epigenetic data from studies of prostate cancer retrieved by literature mining. The Prostate Epigenetic Database (PEpiD) is meant as a resource for finding previous studies of prostate cancer in humans, mice and rats. Searches can be targeted through the categories of DNA methylation, histone modification, and microRNA. | epigenetic, prostate cancer, dna methylation, histone modification, micro rna, mrna |
is listed by: OMICtools has parent organization: Tongji University; Shanghai; China |
Prostate Cancer | PMID:23696878 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01845 | SCR_000235 | Prostate Epigenetic Database | 2026-09-03 05:00:54 | 2 |
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
