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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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VGNC Resource Report Resource Website 10+ mentions |
VGNC (RRID:SCR_017514) | data or information resource, database, service resource | Software resource for vertebrate gene nomenclature. Database of gene symbols. Coordinates with vertebrate nomenclature committees, MGNC (mouse), RGNC (rat), CGNC (chicken), AGNC (Anole green lizard), XNC (Xenopus frog) and ZNC (zebrafish), to ensure genes are named in line with their human homologs. | Vertebrate, gene, nomenclature, data, symbol | is related to: HGNC | NHGRI U24 HG003345; Wellcome Trust |
Free, Freely available | SCR_017514 | Vertebrate Gene Nomenclature Committee | 2026-02-17 10:03:35 | 13 | ||||||||
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apeglm Resource Report Resource Website |
apeglm (RRID:SCR_026951) | software resource, software toolkit | Software package provides Bayesian shrinkage estimators for effect sizes for variety of GLM models, using approximation of posterior for individual coefficients. | Bayesian shrinkage estimators, | NHGRI R01 HG009125; NCI P01 CA142538; NIEHS P30 ES010126; NIGMS R01 GM070335 |
PMID:30395178 | Free, Available for download, Freely available, | SCR_026951 | , Approximate Posterior Estimation for generalized linear model, Approximate posterior estimation for GLM | 2026-02-17 10:05:10 | 0 | ||||||||
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PHATE Resource Report Resource Website 1+ mentions |
PHATE (RRID:SCR_027119) | 3d visualization software, software application, data processing software, source code, software resource, data visualization software | Software tool for visualizing high dimensional data using novel conceptual framework for learning and visualizing manifold to preserve both local and global distances. | visualizing high dimensional data, high dimensional data, | NICHD F31HD097958; NHGRI 1R01HG008383; NSF ; NIGMS R01GM107092; NIGMS R01GM130847 |
PMID:31796933 | Free, Available for download, Freely available, | SCR_027119 | Potential of Heat-diffusion for Affinity-based Transition Embedding | 2026-02-17 10:05:28 | 2 | ||||||||
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dREG Resource Report Resource Website 1+ mentions |
dREG (RRID:SCR_027012) | software application, source code, software resource | Software tool for detecting regulatory elements using GRO-seq and PRO-seq. | detecting regulatory elements, GRO-seq, PRO-seq | NHGRI 5R01HG007070; NIDDK R01 DK058110 |
PMID:25799441 | Free, Available for download, Freely available | SCR_027012 | 2026-02-17 10:05:11 | 1 | |||||||||
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TEProf3 Resource Report Resource Website |
TEProf3 (RRID:SCR_027288) | source code, software resource, software toolkit | Software pipeline to detect Transposable Elements transcripts. Used to identify TE-derived promoters and transcripts using transcriptomic data from multiple sources, including short-read RNA-seq data, long-read RNA-seq data and single cell RNA-seq data. | Transposable Elements, Transposable Elements transcripts, detect TE transcripts, transcriptomic data, short-read RNA-seq data, long-read RNA-seq data, single cell RNA-seq data, | NHGRI R01HG007175; NIA R01AG078958; NINDS U24NS132103; NHGRI U01HG013227 |
PMID:40360186 | Free, Available for download, Freely available, | SCR_027288 | , TE-derived Promoter Finder 3 | 2026-02-17 10:05:13 | 0 | ||||||||
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Current Topics in Genome Analysis Resource Report Resource Website |
Current Topics in Genome Analysis (RRID:SCR_006475) | CTGA | data or information resource, topical portal, portal, training resource | Current Topics in Genome Analysis lecture series consists of 13 lectures on successive Wednesdays, with a mixture of local and outside speakers covering the major areas of genomics. In this tenth edition of the series, rather than splitting the lectures into laboratory-based and computationally-based blocks, we have intermingled the lectures by general subject area. We hope that this approach conveys the idea that both laboratory- and computationally-based approaches are necessary in order to do cutting-edge biological research in the future. The lectures are geared at the level of first year graduate students, are practical in nature, and are intended for a diverse audience. Handouts will be provided for each lecture, and time will be available at the end of each lecture for questions and discussion. All lectures are held on Wednesday mornings from 9:30 a.m. to 11:00 a.m. in the Lipsett Amphitheatre of the National Institutes of Health Clinical Center (Building 10). Course Directors: Andy Baxevanis, Ph.D., Eric Green, M.D., Ph.D., Tyra Wolfsberg, Ph.D. Lectures in this series will be available on the GenomeTV channel of YouTube viewing shortly after the live lecture and also includes all of the handouts. Lectures will not be Webcast live. The lecture series archives (available from 2005-) covers important milestones in genetics. CME Credits: This activity has been approved for AMA PRA Category 1 Credits. The intended audience includes clinicians, clinical geneticists, social and behavioral scientists, genetic counselors, those involved with genetics and public policy, health educators, and other biomedical and clinical scientists with an interest in genetics, genomics and personalized medicine. No prior expertise on the part of the audience will be required and the lecturers will be instructed to provide any relevant background as part of their lectures. | genomics, bioinformatics, lecture, genome analysis | has parent organization: National Human Genome Research Institute | NHGRI | http://www.genome.gov/COURSE2012 | SCR_006475 | Current Topics in Genome Analysis 2012, Current Topics in Genome Analysis lecture series, NHGRI: Current Topics in Genome Analysis | 2026-02-17 10:01:04 | 0 | |||||||
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scHiCluster Resource Report Resource Website |
scHiCluster (RRID:SCR_027854) | software resource, software toolkit | Software Python package for single-cell chromosome contact data analysis. It includes the identification of cell types (clusters), loop calling in cell types, and domain and compartment calling in single cells. Facilitates visualization and comparison of single-cell 3D genomes. | single-cell chromosome contact data analysis, single-cell, chromosome, contact, data analysis, | NHGRI R21 HG009274 | PMID:31235599 | Free, Available for download, Freely Available | SCR_027854 | 2026-02-17 10:05:32 | 0 | |||||||||
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PHAST Resource Report Resource Website 50+ mentions |
PHAST (RRID:SCR_003204) | PHAST | software resource | A freely available software package for comparative and evolutionary genomics that consists of about half a dozen major programs, plus more than a dozen utilities for manipulating sequence alignments, phylogenetic trees, and genomic annotations. For the most part, PHAST focuses on two kinds of applications: the identification of novel functional elements, including protein-coding exons and evolutionarily conserved sequences; and statistical phylogenetic modeling, including estimation of model parameters, detection of signatures of selection, and reconstruction of ancestral sequences. It consists of over 60,000 lines of C code. | evolutionary genomic, evolution, genomics, sequence alignment, phylogenetic tree, genomic annotation, functional element, protein-coding exon, conserved sequence, phylogenetic modeling, ancestral sequence, c |
is listed by: OMICtools is listed by: Debian has parent organization: Cornell University; New York; USA |
NIH ; David and Lucile Packard Foundation ; NHGRI ; University of California Biotechnology Research and Education Program ; NSF DBI-0644111; NIGMS R01-GM082901-01 |
PMID:21278375 DOI:10.1093/bib/bbq072 |
Free, Available for download, Freely available | OMICS_01557 | https://sources.debian.org/src/phast/ | SCR_003204 | Phylogenetic Analysis with Space/Time Models | 2026-02-14 02:00:42 | 58 | ||||
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Ensembl Resource Report Resource Website 10000+ mentions |
Ensembl (RRID:SCR_002344) | data or information resource, database | Collection of genome databases for vertebrates and other eukaryotic species with DNA and protein sequence search capabilities. Used to automatically annotate genome, integrate this annotation with other available biological data and make data publicly available via web. Ensembl tools include BLAST, BLAT, BioMart and the Variant Effect Predictor (VEP) for all supported species. | collection, genome, dataset, database, vertebrate, eukaryotic, DNA, protein, sequence, search, automaticly, annotate, data, bio.tools, FASEB list |
is used by: NIF Data Federation is used by: Animal QTLdb is used by: ChannelPedia is used by: Blueprint Epigenome is used by: HmtPhenome lists: Ensembl Covid-19 is listed by: OMICtools is listed by: Biositemaps is listed by: re3data.org is listed by: LabWorm is listed by: bio.tools is listed by: Debian is listed by: SoftCite is related to: Ensembl Genomes is related to: GermOnline is related to: CandiSNPer is related to: Human Splicing Finder is related to: NGS-SNP is related to: Sanger Mouse Resources Portal is related to: DECIPHER is related to: Ensembl Genomes is related to: PeptideAtlas is related to: AnimalTFDB is related to: Bgee: dataBase for Gene Expression Evolution is related to: FlyMine is related to: Rat Gene Symbol Tracker is related to: UniParc at the EBI is related to: go-db-perl is related to: UniParc is related to: g:Profiler is related to: RIKEN integrated database of mammals is related to: VBASE2 is related to: p300db is related to: ShinyGO has parent organization: European Bioinformatics Institute has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom is parent organization of: Ensembl Metazoa is parent organization of: Ensembl Variation is parent organization of: Pre Ensembl is parent organization of: Variant Effect Predictor is parent organization of: Ensembl Bacteria is parent organization of: Ensembl Plants is parent organization of: Ensembl Fungi is parent organization of: Ensembl Protists is parent organization of: Ensembl Genome Browser works with: Genotate works with: CellPhoneDB works with: Open Regulatory Annotation Database works with: Database of genes related to Repeat Expansion Diseases works with: TarBase |
Wellcome Trust ; EMBL ; European Union ; FP7 ; FP6 ; MRC ; NHGRI ; BBSRC |
PMID:24316576 PMID:23203987 |
nif-0000-21145, OMICS_01647, biotools:ensembl, r3d100010228 | https://bio.tools/ensembl https://sources.debian.org/src/ensembl/ https://doi.org/10.17616/R39K5B |
SCR_002344 | ENSEMBL | 2026-02-14 02:00:23 | 11652 | ||||||
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JBrowse Resource Report Resource Website 10+ mentions |
JBrowse (RRID:SCR_001004) | JBrowse | software resource | A high-performance visualization tool for interactive exploration of large, integrated genomic datasets written primarily in JavaScript. It supports a wide variety of data types, including array-based and next-generation sequence data, and genomic annotations. | genome |
is used by: Genome Resources for Yeast Chromosomes is listed by: OMICtools is listed by: Debian has parent organization: Broad Institute |
NHGRI 5R01HG004483-09 | PMID:22517427 PMID:21221095 |
GNU Lesser General Public License, Account required | OMICS_00918 | https://sources.debian.org/src/jbrowse/ | SCR_001004 | 2026-02-14 01:59:53 | 32 | |||||
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ASprofile Resource Report Resource Website 10+ mentions |
ASprofile (RRID:SCR_001833) | ASprofile | software resource | A suite of programs for extracting, quantifying and comparing alternative splicing (AS) events from RNA-seq data. | alternative splicing event, rna-seq, alternative splicing |
is listed by: OMICtools has parent organization: Johns Hopkins University; Maryland; USA |
NHGRI R01-HG006677 | PMID:24555089 | Free, Available for download, Freely available | OMICS_01942 | SCR_001833 | 2026-02-14 02:00:08 | 37 | ||||||
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Consed Resource Report Resource Website 500+ mentions |
Consed (RRID:SCR_005650) | Consed | software resource | A graphical tool for sequence finishing (BAM File Viewer, Assembly Editor, Autofinish, Autoreport, Autoedit, and Align Reads To Reference Sequence) | next-generation sequencing, graphical editor, linux, macosx, solaris, c++ |
is listed by: OMICtools has parent organization: University of Washington; Seattle; USA |
NIH ; NHGRI R01HG005710 |
PMID:23995391 PMID:9521923 |
Free for academic use, Free for non-profit use, Commercial license | OMICS_00879 | SCR_005650 | 2026-02-14 02:01:08 | 595 | ||||||
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Consensus Measures for Phenotype and Exposure Resource Report Resource Website 1+ mentions |
Consensus Measures for Phenotype and Exposure (RRID:SCR_006688) | PhenX | knowledge environment | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on 05 01 2025. PhenX is a project to prioritize Phenotype and eXposure measures for Genome-wide Association Studies (GWAS). Leaders of the scientific community will assess and prioritize a broad range of domains relevant to genomics research and public health. The PhenX Steering Committee (SC), chaired by Dr. Jonathan Haines, provides leadership in the selection of domains and domain experts. Members of the SC include outstanding scientists from the research community and liaisons from the Institutes and Centers of the National Institutes of Health. Consensus measures for GWAS will have a direct impact on biomedical research and ultimately on public health. During the course of this project, up to 20 research domains will be examined, with up to 15 measures being recommended for use in future GWAS and other large-scale genomic research efforts. The goal is to maximize the benefits of future research by having comparable measures so that studies can be integrated. Each selected domain will be reviewed by a Working Group (WG) of scientists who are experts in the research area. A systematic review of the literature will guide the WGs selection of up to 15 high priority measures with standardized approaches for measurement. Selection criteria for the measures include factors such as validity, reproducibility, cost, feasibility, and burden to both investigators and participants. The scientific community will be asked to provide input on proposed measures. Consensus development is a key component of the project. | biomedical, domain, genome, health, phenotype, public, research |
has parent organization: RTI International is parent organization of: Phenotypes and eXposures Toolkit is parent organization of: PhenX Phenotypic Terms has organization facet: Phenotypes and eXposures Toolkit |
NHGRI U01 HG004597 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-32816 | SCR_006688 | PhenX - consensus measures for Phenotypes and eXposures, Consensus Measures for Phenotypes Exposures, PhenX (consensus measures for Phenotypes and eXposures), Consensus Measures for Phenotypes Exposure, Consensus Measures for Phenotypes and Exposures | 2026-02-14 02:01:22 | 1 | ||||||
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Resource Discovery System Resource Report Resource Website |
Resource Discovery System (RRID:SCR_005554) | RDS | data or information resource, database | Resource Discovery System is a web-accessible and searchable inventory of biomedical research resources. Powered by the Resource Discovery System (RDS) that includes a standards-based informatics infrastructure * Biositemaps Information Model * Biomedical Resource Ontology Extensions * Web Services distributed web-accessible inventory framework * Biositemap Resource Editor * Resource Discovery System Source code and project documentation to be made available on an open-source basis. Contributing institutions: University of Pittsburgh, University of Michigan, Stanford University, Oregon Health & Science University, University of Texas Houston. Duke University, Emory University, University of California Davis, University of California San Diego, National Institutes of Health, Inventory Resources Working Group Members | registry, web service, source code, biomedical, software resource, material resource, funding resource, service resource, training resource, people resource | has parent organization: Biositemaps | Clinical and Translational Science Awards Consortium ; National Centers for Biomedical Computing ; NCRR 3UL1RR024153-03S1; NCRR 5UL1RR024128-03S1; NCRR 1UL1RR025008-01; NCRR 1UL1RR024146-01; NCRR 1UL1RR024986-01; NCRR 1UL1RR024153-01; NIDA 3U54DA021519-04S1; NHGRI 3U54HG004028-04S |
nlx_144645 | SCR_005554 | 2026-02-14 02:06:28 | 0 | ||||||||
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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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Transcriptional Regulatory Element Database Resource Report Resource Website 50+ mentions |
Transcriptional Regulatory Element Database (RRID:SCR_005661) | TRED | data or information resource, database | Collects mammalian cis- and trans-regulatory elements together with experimental evidence. Regulatory elements were mapped on to assembled genomes. Resource for gene regulation and function studies. Users can retrieve primers, search TF target genes, retrieve TF motifs, search Gene Regulatory Networks and orthologs, and make use of sequence analysis tools. Uses databases such as Genbank, EPD and DBTSS, and employ promoter finding program FirstEF combined with mRNA/EST information and cross-species comparisons. Manually curated. | Mammalian, cis, trans, regulatory, element, mapped, genome, gene, regulation, function, data, FASEB list |
uses: GenBank uses: Eukaryotic Promoter Database uses: DBTSS: Database of Transcriptional Start Sites has parent organization: Cold Spring Harbor Laboratory |
NCI ; NHGRI HG001696 |
PMID:17202159 | Free, Freely available | nif-0000-03585 | SCR_005661 | Transcriptional Regulatory Element Database | 2026-02-14 02:05:57 | 78 | |||||
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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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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 | 2026-02-14 02:06:27 | 1004 | ||||||
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Public Expression Profiling Resource Resource Report Resource Website 10+ mentions |
Public Expression Profiling Resource (RRID:SCR_007274) | PEPR | data or information resource, database | An experiment in web-database access to large multi-dimensional data sets using a standardized experimental platform to determine if the larger scientific community can be given simple, intuitive, and user-friendly web-based access to large microarray data sets. All data in PEPR is also available via NCBI GEO. The structure and goals of PEPR differ from other mRNA expression profiling databases in a number of important ways. * The experimental platform in PEPR is standardized, and is an Affymetrix - only database. All microarrays available in the PEPR web database should ascribe to quality control and standard operating procedures. A recent publication has described the QC/SOP criteria utilized in PEPR profiles ( The Tumor Analysis Best Practices Working Group 2004 ). * PEPR permits gene-based queries of large Affymetrix array data sets without any specialized software. For example, a number of large time series projects are available within PEPR, containing 40-60 microarrays, yet these can be simply queried via a dynamic web interface with no prior knowledge of microarray data analysis. * Projects in PEPR originate from scientists world-wide, but all data has been generated by the Research Center for Genetic Medicine, Children''''s National Medical Center, Washington DC. Future developments of PEPR will allow remote entry of Affymetrix data ascribing to the same QC/SOP protocols. They have previously described an initial implementation of PEPR, and a dynamic web-queried time series graphical interface ( Chen et al. 2004 ). A publication showing the utility of PEPR for pharmacodynamic data has recently been published ( Almon et al. 2003 ). | microarray, expression profiling, affymetrix, metadata standard, gene, time series, data sharing, visualization, data mining, platform, blood, cell, cancer, bone, brain, eye, gut, heart, kidney, liver, lung, muscle, spinal cord, spleen, analysis |
is listed by: OMICtools is related to: Gene Expression Omnibus |
NINDS ; United States Department of Defense ; NHGRI ; NHLBI |
PMID:14681485 PMID:14596642 |
Public, Account required, (to download, For the analysis and visualization tools), The community can contribute to this resource | nif-0000-00014, OMICS_00776 | SCR_007274 | 2026-02-14 02:06:28 | 16 | ||||||
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Open Regulatory Annotation Database Resource Report Resource Website 50+ mentions |
Open Regulatory Annotation Database (RRID:SCR_007835) | ORegAnno | data or information resource, database | Open source, open access database and literature curation system for community based annotation of experimentally identified DNA regulatory regions, transcription factor binding sites and regulatory variants. Automatically cross referenced against PubMED, Entrez Gene, EnsEMBL, dbSNP, eVOC: Cell type ontology, and Taxonomy database. Community driven resource for curated regulatory annotation. | Collection, annotation, curated, experimentally, identified, DNA, regulatory, region, element, transcript, factor, binding, site, regulatory, variant, data, FASEB list |
has parent organization: University of Manchester; Manchester; United Kingdom works with: PubMed works with: Entrez Gene works with: Ensembl works with: dbSNP |
British Columbia Cancer Foundation ; Genome Canada ; Genome British Columbia ; European Network of Excellence ; BioSapiens Network of Excellence ; Research Foundation – Flanders ; Pleiades Promoter Project ; Michael Smith Foundation for Health Research ; Canadian Institutes of Health Research ; European Molecular Biology Laboratory ; Marie Curie Early Stage Research Training Fellowship ; Natural Sciences and Engineering Research Council ; Swedish Research Council ; American Cancer Society ; Edward Mallinckrodt ; Jr. Foundation ; NHGRI K99 HG007940; NHGRI R01 HG008150; NIMH R01 MH101814; NCI K22 CA188163 |
PMID:18006570 PMID:26578589 |
Free, Freely available | nif-0000-03223, r3d100010656 | http://www.oreganno.org/ https://doi.org/10.17616/R3DG70 |
SCR_007835 | Open REGulatory ANNOtation, ORegAnno 3.0 | 2026-02-14 02:06:39 | 81 |
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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 2U24DK097771-09.
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