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 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Flash Gviewer Resource Report Resource Website 1+ mentions |
Flash Gviewer (RRID:SCR_012870) | Flash GViewer | software resource | Flash GViewer is a customizable Flash movie that can be easily inserted into a web page to display each chromosome in a genome along with the locations of individual features on the chromosomes. It is intended to provide an overview of the genomic locations of a specific set of features - eg. genes and QTLs associated with a specific phenotype, etc. rather than as a way to view all features on the genome. The features can hyperlink out to a detail page to enable to GViewer to be used as a navigation tool. In addition the bands on the chromosomes can link to defineable URL and new region selection sliders can be used to select a specific chromosome region and then link out to a genome browser for higher resolution information. Genome maps for Rat, Mouse, Human and C. elegans are provided but other genome maps can be easily created. Annotation data can be provided as static text files or produced as XML via server scripts. This tool is not GO-specific, but was built for the purpose of viewing GO annotation data. Platform: Online tool | visualization, chromosome, video, gene, qtl, genome, navitgation, phenotype, ontology or annotation visualization |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Medical College of Wisconsin; Wisconsin; USA |
Free for academic use | nlx_149333 | http://gmod.org/flashgviewer | SCR_012870 | 2026-02-14 02:02:24 | 2 | |||||||
|
IITC Life Sciences Rotarod Test Resource Report Resource Website 1+ mentions |
IITC Life Sciences Rotarod Test (RRID:SCR_015698) | instrument resource | Kit for assessing motor function and endurance in mice and rats. IITC’s Rotarod Test is capable of having up to five mice or rats tested at a time standard. | motor function, endurance, mouse, rat, drug resistance, material resource, hardware, instrument, equipment, USEDit |
is listed by: USEDit is related to: ANY-maze |
Commercially available | https://www.iitcinc.com/pdf/Rotarod.pdf | SCR_015698 | IITC Rotarod Test, IITC Rotarod Treadmill, Rotarod Treadmill for mice and rats, IITC's Rotarod Test, Rotarod Test Rats and Mice, IITC Life Sciences Rotarod Treadmill | 2026-02-14 02:03:04 | 4 | ||||||||
|
pSTIING Resource Report Resource Website 1+ mentions |
pSTIING (RRID:SCR_002045) | pSTIING | data or information resource, database | A publicly accessible knowledgebase about protein-protein, protein-lipid, protein-small molecules, ligand-receptor interactions, receptor-cell type information, transcriptional regulatory and signal transduction modules relevant to inflammation, cell migration and tumourigenesis. It integrates in-house curated information from the literature, biochemical experiments, functional assays and in vivo studies, with publicly available information from multiple and diverse sources across human, rat, mouse, fly, worm and yeast. The knowledgebase allowing users to search and to dynamically generate visual representations of protein-protein interactions and transcriptional regulatory networks. Signalling and transcriptional modules can also be displayed singly or in combination. This allow users to identify important "cross-talks" between signalling modules via connections with key components or "hubs". The knowledgebase will facilitate a "systems-wide" understanding across many protein, signalling and transcriptional regulatory networks triggered by multiple environmental cues, and also serve as a platform for future efforts to computationally and mathematically model the system behavior of inflammatory processes and tumourigenesis. | protein-protein, protein-lipid, protein-small molecule, ligand-receptor interaction, receptor-cell type, transcriptional regulatory module, signal transduction module, inflammation, cell migration, tumorigenesis, protein-protein interaction, transcriptional regulatory network, signalling pathway, interaction, protein interaction, motif, domain, protein, gene |
is listed by: OMICtools is related to: Gene Ontology has parent organization: University College London; London; United Kingdom |
Inflammation, Tumor, Cancer | PMID:16381926 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01916 | SCR_002045 | Protein Signalling Transcriptional Interactions and Inflammation Networks Gateway, Protein Signalling Transcriptional Interactions & Inflammation Networks Gateway | 2026-02-14 02:05:37 | 2 | |||||
|
Bgee: dataBase for Gene Expression Evolution Resource Report Resource Website 50+ mentions |
Bgee: dataBase for Gene Expression Evolution (RRID:SCR_002028) | Bgee | data or information resource, database | Database to retrieve and compare gene expression patterns between animal species. Bgee first maps heterogeneous expression data (currently bulk RNA-Seq, scRNA-Seq, Affymetrix, in situ hybridization, and EST data) to anatomy and development of different species. Bgee is based exclusively on curated healthy wild-type expression data (e.g., no gene knock-out, no treatment, no disease), to provide a comparable reference of gene expression. | gene expression, scrna-seq, rna-seq, affymetrix, in situ hybridization, expressed sequence tag, cross specie, comparison, homology, anatomy, developmental stage, gene expression pattern, development, genome, function, chordate, fish, transcriptiome, embryo, adult, mirna, protein coding, prenatal, immature, post-embryonic development, alimentary system, cardiovascular system, nervous system, renal system, reproductive system, respiratory system, skeletal system, ortholog, ontology, FASEB list |
is related to: Gene Expression Omnibus is related to: NCBI Sequence Read Archive (SRA) is related to: ArrayExpress is related to: Zebrafish Information Network (ZFIN) is related to: Xenbase is related to: Mouse Genome Informatics (MGI) is related to: Berkeley Drosophila Genome Project is related to: UniGene is related to: Zebrafish Anatomical Ontology is related to: eVOC is related to: Adult Mouse Anatomy Ontology is related to: Xenopus Anatomy Ontology is related to: Drosophila anatomy and development ontologies is related to: Ensembl has parent organization: SIB Swiss Institute of Bioinformatics has parent organization: University of Lausanne; Lausanne; Switzerland |
Free, Freely available | nif-0000-11819, r3d100014596 | https://doi.org/10.17616/R31NJNR8 | SCR_002028 | Bgee: dataBase Gene Expression Evolution, dataBase Gene Expression Evolution | 2026-02-14 02:06:04 | 54 | ||||||
|
Internet Brain Volume Database Resource Report Resource Website 1+ mentions |
Internet Brain Volume Database (RRID:SCR_002060) | IBVD | data or information resource, database | A database of brain neuroanatomic volumetric observations spanning various species, diagnoses, and structures for both individual and group results. A major thrust effort is to enable electronic access to the results that exist in the published literature. Currently, there is quite limited electronic or searchable methods for the data observations that are contained in publications. This effort will facilitate the dissemination of volumetric observations by making a more complete corpus of volumetric observations findable to the neuroscience researcher. This also enhances the ability to perform comparative and integrative studies, as well as metaanalysis. Extensions that permit pre-published, non-published and other representation are planned, again to facilitate comparative analyses. Design strategy: The principle organizing data structure is the "publication". Publications report on "groups" of subjects. These groups have "demographic" information as well as "volume" information for the group as a whole. Groups are comprised of "individuals", which also have demographic and volume information for each of the individuals. The finest-grained data structure is the "individual volume record" which contains a volume observation, the units for the observation, and a pointer to the demographic record for individual upon which the observation is derived. A collection of individual volumes can be grouped into a "group volume" observation; the group can be demographically characterized by the distribution of individual demographic observations for the members of the group. | anatomy, volume, dsm-iv, normal, schizophrenia, autistic disorder, bipolar disorder, major depressive disorder, alzheimer's disease, attention deficit-hyperactivity disorder, alcohol dependence, dementia, traumatic brain injury, borderline personality disorder, obsessive-compulsive disorder, asperger syndrome, brain, brain structure, in vivo, ex vivo, male, female, gorilla beringei beringei, pongo pygmaeus, volumetric analysis |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: NIF Data Federation is related to: Integrated Manually Extracted Annotation has parent organization: Harvard Medical School; Massachusetts; USA |
Normal, Alzheimers disease, Seizure, Complex febrile seizure, Holoprosencephaly, Alcohol dependence, Bipolar Disorder, Traumatic brain injury, Schizophrenia | The Human Brain Project ; NINDS NS034189 |
PMID:21931990 | Free, Available for download, Freely available | nif-0000-00033 | http://www.nitrc.org/projects/ibvd | http://www.cma.mgh.harvard.edu/ibvd/ | SCR_002060 | 2026-02-14 02:05:37 | 4 | |||
|
UniProt Resource Report Resource Website 10000+ mentions |
UniProt (RRID:SCR_002380) | UniProt | data or information resource, database | Collection of data of protein sequence and functional information. Resource for protein sequence and annotation data. Consortium for preservation of the UniProt databases: UniProt Knowledgebase (UniProtKB), UniProt Reference Clusters (UniRef), and UniProt Archive (UniParc), UniProt Proteomes. Collaboration between European Bioinformatics Institute (EMBL-EBI), SIB Swiss Institute of Bioinformatics and Protein Information Resource. Swiss-Prot is a curated subset of UniProtKB. | collection, protein, sequence, annotation, data, functional, information |
is used by: LIPID MAPS Proteome Database is used by: ChannelPedia is used by: Open PHACTS is used by: DisGeNET is used by: Smart Dictionary Lookup is used by: MitoMiner is used by: Cytokine Registry is used by: MobiDB is used by: Pathway Analysis Tool for Integration and Knowledge Acquisition is used by: Phospho.ELM is used by: GEROprotectors is used by: SwissLipids is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org is listed by: LabWorm is related to: Clustal W2 is related to: UniProt DAS is related to: UniParc at the EBI is related to: ProDom is related to: LegumeIP is related to: Pathway Commons is related to: NIH Data Sharing Repositories is related to: FlyMine is related to: IMEx - The International Molecular Exchange Consortium is related to: 3D-Interologs is related to: Biomine is related to: EBIMed is related to: STOP is related to: Coremine Medical is related to: BioExtract is related to: STRAP is related to: GOTaxExplorer is related to: GoAnnotator is related to: IT-GOM: Integrated Tool for IC-based GO Semantic Similarity Measures is related to: Whatizit is related to: MOPED - Model Organism Protein Expression Database is related to: Polbase is related to: PredictSNP is related to: PSICQUIC Registry is related to: IntAct is related to: p300db is related to: UniProt Proteomes is related to: SARS-CoV-2 mutation effects and 3D structure prediction from sequence covariation has parent organization: European Bioinformatics Institute has parent organization: SIB Swiss Institute of Bioinformatics has parent organization: Protein Information Resource is parent organization of: UniProtKB is parent organization of: NEWT is parent organization of: UniParc is parent organization of: UniProt Chordata protein annotation program is parent organization of: UniRef works with: Genotate works with: CellPhoneDB works with: MOLEonline works with: MiMeDB |
NHGRI U41 HG006104; NHGRI P41 HG02273; NIGMS 5R01GM080646; NIGMS R01 GM080646; NLM G08 LM010720; NCRR P20 RR016472; NSF DBI-0850319; British Heart Foundation ; NEI ; NHLBI ; NIA ; NIAID ; NIDDK ; NIMH ; NCI ; EMBL ; PDUK ; ARUK ; NHGRI U24 HG007722 |
PMID:19843607 PMID:18836194 PMID:18045787 PMID:17142230 PMID:16381842 PMID:15608167 PMID:14681372 |
nif-0000-00377, SCR_018750, r3d100010357 | http://www.ebi.uniprot.org http://www.uniprot.org/uniprot/ http://www.pir.uniprot.org ftp://ftp.uniprot.org https://doi.org/10.17616/R3BW2M |
SCR_002380 | , The Universal Protein Resource, Universal Protein Resource, UNIPROT Universal Protein Resource | 2026-02-14 02:05:47 | 17565 | |||||
|
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 | 2026-02-14 02:05:39 | 186 | |||||
|
EDAS - EST-Derived Alternative Splicing Database Resource Report Resource Website 1+ mentions |
EDAS - EST-Derived Alternative Splicing Database (RRID:SCR_002449) | EDAS | data or information resource, database | Databases of alternatively spliced genes with data on the alignment of proteins, mRNAs, and EST. It contains information on all exons and introns observed, as well as elementary alternatives formed from them. The database makes it possible to filter the output data by changing the cut-off threshold by the significance level. It contains splicing information on human, mouse, dog (not yet functional) and rat (not yet functional). For each database, users can search by keyword or by overall gene expression. They can also view genes based on chromosomal arrangement or other position in genome (exon, intron, acceptor site, donor site), functionality, position, conservation, and EST coverage. Also offered is an online Fisher test. | alternative splicing, gene, protein, mrna, est, exon, intron, rat, dog |
is listed by: OMICtools has parent organization: Moscow State University; Moscow; Russia |
PMID:16909834 | Free, Freely available | nif-0000-02786, OMICS_01885 | SCR_002449 | EDAS: EST Derived Alternative Splicing Database, EST Derived Alternative Splicing Database | 2026-02-14 02:06:07 | 1 | ||||||
|
ConsensusPathDB Resource Report Resource Website 500+ mentions |
ConsensusPathDB (RRID:SCR_002231) | CPDB | data or information resource, database | An integrative interaction database that integrates different types of functional interactions from heterogeneous interaction data resources. Physical protein interactions, metabolic and signaling reactions and gene regulatory interactions are integrated in a seamless functional association network that simultaneously describes multiple functional aspects of genes, proteins, complexes, metabolites, etc. With human, yeast and mouse complex functional interactions, it currently constitutes the most comprehensive publicly available interaction repository for these species. Different ways of utilizing these integrated interaction data, in particular with tools for visualization, analysis and interpretation of high-throughput expression data in the light of functional interactions and biological pathways is offered. | gene regulatory network, pathway, gene regulatory network, molecular interaction, interaction, gene regulation, protein interaction, genetic interaction, biochemical reaction, drug-target interaction, molecule, visualization, gene, protein, complex, metabolite, FASEB list |
is listed by: OMICtools is related to: BIND is related to: BioCarta Pathways is related to: Biological General Repository for Interaction Datasets (BioGRID) is related to: CORUM is related to: Database of Interacting Proteins (DIP) is related to: DrugBank is related to: HPRD - Human Protein Reference Database is related to: HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism is related to: Integrating Network Objects with Hierarchies is related to: InnateDB is related to: IntAct is related to: KEGG is related to: MINT is related to: MIPS Mammalian Protein-Protein Interaction Database is related to: MatrixDB is related to: NetPath is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: PDZBase is related to: Pathway Interaction Database is related to: PIG - Pathogen Interaction Gateway is related to: PINdb is related to: PharmGKB is related to: PhosphoPOINT is related to: PhosphoSitePlus: Protein Modification Site is related to: Reactome is related to: Small Molecule Pathway Database is related to: SignaLink is related to: SPIKE is related to: Therapeutic Target Database is related to: WikiPathways has parent organization: Max Planck Institute for Molecular Genetics; Berlin; Germany |
European Union HEALTH-F4-2007-200767 | PMID:23143270 PMID:21071422 PMID:20847220 PMID:18940869 |
Free, Freely available | nif-0000-02684, OMICS_01903, r3d100012822 | https://doi.org/10.17616/R3HF8Z | SCR_002231 | ConsensusPathDB, ConsensusPathDB-human | 2026-02-14 02:06:06 | 667 | ||||
|
PReMod Resource Report Resource Website 10+ mentions |
PReMod (RRID:SCR_003403) | PReMod | data or information resource, database | Database that describes more than 100,000 computational predicted transcriptional regulatory modules within the human genome. These modules represent the regulatory potential for 229 transcription factors families and are the first genome-wide / transcription factor-wide collection of predicted regulatory modules for the human genome. The algorithm used involves two steps: (i) Identification and scoring of putative transcription factor binding sites using 481 TRANSFAC 7.2 position weight matrices (PWMs) for vertebrate transcription factors. To this end, each non-coding position of the human genome was evaluated for its similarity to each PWM using a log-likelihood ratio score with a local GC-parameterized third-order Markov background model. Corresponding orthologous positions in mouse and rat genomes were evaluated similarly and a weighted average of the human, mouse, and rat log-likelihood scores at aligned positions (based on a Multiz (Blanchette et al. 2004) genome-wide alignment of these three species) was used to define the matrix score for each genomic position and each PWM. (ii) Detection of clustered putative binding sites. To assign a module score to a given region, the five transcription factors with the highest total scoring hits are identified, and a p-value is assigned to the total score observed of the top 1, 2, 3, 4, or 5 factors. The p-value computation takes into consideration the number of factors involved (1 to 5), their total binding site scores, and the length and GC content of the region under evaluation. Users can retrieve all information for a given region, a given PWM, a given gene and so on. Several options are given for textual output or visualization of the data. | cis-regulatory module, genome, transcription factor binding site, chromosome, module, predict, gene |
is listed by: OMICtools has parent organization: McGill University; Montreal; Canada |
PMID:17148480 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03334, OMICS_01873 | SCR_003403 | Predicted Regulatory Modules | 2026-02-14 02:06:14 | 11 | ||||||
|
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 | nif-0000-03138, OMICS_00408 | SCR_003156 | 2026-02-14 02:06:13 | 246 | |||||||
|
PolymiRTS Resource Report Resource Website 100+ mentions |
PolymiRTS (RRID:SCR_003389) | PolymiRTS | data or information resource, database | Database of naturally occurring DNA variations in microRNA (miRNA) seed regions and miRNA target sites. MicroRNAs pair to the transcripts of protein-coding genes and cause translational repression or mRNA destabilization. SNPs and INDELs in miRNAs and their target sites may affect miRNA-mRNA interaction, and hence affect miRNA-mediated gene repression. The PolymiRTS database was created by scanning 3'UTRs of mRNAs in human and mouse for SNPs and INDELs in miRNA target sites. Then, the potential downstream effects of these polymorphisms on gene expression and higher-order phenotypes are identified. Specifically, genes containing PolymiRTSs, cis-acting expression QTLs, and physiological QTLs in mouse and the results of genome-wide association studies (GWAS) of human traits and diseases are linked in the database. The PolymiRTS database also includes polymorphisms in target sites that have been supported by a variety of experimental methods and polymorphisms in miRNA seed regions. | polymorphism, microrna, human, disease, trait, snp, indel, pathway, genetic variant, gene expression, phenotype, chromosome, chromosome location, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of Tennessee Health Science Center; Tennessee; USA |
PhRMA Foundation ; UT Center for Integrative and Translational Genomics ; NICHD HD052472; NIAAA AA014425; NIDA DA021131; NINR NR009270; NIAID AI081050; NIAID AI019782; American Heart Association 0830134N; United States Department of Defense W81XHW-05-01-0227 |
PMID:24163105 PMID:22080514 |
Free, Available for download, Freely available | nif-0000-03324, biotools:polymirts, OMICS_00391 | https://bio.tools/polymirts | http://compbio.utmem.edu/miRSNP/ | SCR_003389 | Polymorphism in microRNA Target Site, PolymiRTS Database, Polymorphism in microRNAs and their TargetSites | 2026-02-14 02:06:12 | 149 | |||
|
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 | 2026-02-14 02:06:11 | 14 | |||||
|
ASAP: the Alternative Splicing Annotation Project Resource Report Resource Website 10+ mentions |
ASAP: the Alternative Splicing Annotation Project (RRID:SCR_003415) | ASAP | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on 8/12/13. Database to access and mine alternative splicing information coming from genomics and proteomics based on genome-wide analyses of alternative splicing in human (30 793 alternative splice relationships found) from detailed alignment of expressed sequences onto the genomic sequence. ASAP provides precise gene exon-intron structure, alternative splicing, tissue specificity of alternative splice forms, and protein isoform sequences resulting from alternative splicing. They developed an automated method for discovering human tissue-specific regulation of alternative splicing through a genome-wide analysis of expressed sequence tags (ESTs), which involves classifying human EST libraries according to tissue categories and Bayesian statistical analysis. They use the UniGene clusters of human Expressed Sequence Tags (ESTs) to identify splices. The UniGene EST's are clustered so that a single cluster roughly corresponds to a gene (or at least a part of a gene). A single EST represents a portion of a processed (already spliced) mRNA. A given cluster contains many ESTs, each representing an outcome of a series of splicing events. The ESTs in UniGene contain the different mRNA isoforms transcribed from an alternatively spliced gene. They are not predicting alternative splicing, but locating it based on EST analysis. The discovered splices are further analyzed to determine alternative splicing events. They have identified 6201 alternative splice relationships in human genes, through a genome-wide analysis of expressed sequence tags (ESTs). Starting with 2.1 million human mRNA and EST sequences, they mapped expressed sequences onto the draft human genome sequence and only accepted splices that obeyed the standard splice site consensus. After constructing a tissue list of 46 human tissues with 2 million human ESTs, they generated a database of novel human alternative splices that is four times larger than our previous report, and used Bayesian statistics to compare the relative abundance of every pair of alternative splices in these tissues. Using several statistical criteria for tissue specificity, they have identified 667 tissue-specific alternative splicing relationships and analyzed their distribution in human tissues. They have validated our results by comparison with independent studies. This genome-wide analysis of tissue specificity of alternative splicing will provide a useful resource to study the tissue-specific functions of transcripts and the association of tissue-specific variants with human diseases. | gene, genome, human, isoform, mechanism, metazoa, molecular, mrna, nucleus, process, protein, sequence, splice, tissue specificity, transcription, transcript, alternate splicing, microarray, alternative splicing, biological process, alternatively spliced isoform, contig, cancer, image |
is listed by: Biositemaps is related to: Alternative Splicing Annotation Project II Database has parent organization: University of California at Los Angeles; California; USA |
NSF 0082964; NSF DGE-9987641; DOE DEFG0387ER60615 |
PMID:12519958 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33105 | SCR_003415 | Alternative Splicing, Alternative Splicing Annotation Project, Alternative Splicing Annotation Project database | 2026-02-14 02:05:49 | 33 | |||||
|
GENSAT at NCBI - Gene Expression Nervous System Atlas Resource Report Resource Website 1+ mentions |
GENSAT at NCBI - Gene Expression Nervous System Atlas (RRID:SCR_003923) | NCBI GENSAT Database | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 19, 2012. Due to budgetary constraints, the National Center for Biotechnology Information (NCBI) has discontinued support for the NCBI GENSAT database, and it has been removed from the Entrez System. The Gene Expression Nervous System Atlas (GENSAT) project involves the large-scale creation of transgenic mouse lines expressing green fluorescent protein (GFP) reporter or Cre recombinase under control of the BAC promoter in specific neural and glial cell populations. BAC expression data for all the lines generated (over 1300 lines) are available in online, searchable databases (www.gensat.org and the Database of GENSAT BAC-Cre driver lines). If you have any specific questions, please feel free to contact us at info_at_ncbi.nlm.nih.gov The GENSAT project aims to map the expression of genes in the central nervous system of the mouse, using both in situ hybridization and transgenic mouse techniques. Search criteria include gene names, gene symbols, gene aliases and synonyms, mouse ages, and imaging protocols. Mouse ages are restricted to E10.5 (embryonic day 10.5), E15.5 (embryonic day 15.5), P7 (postnatal day 7), and Adult (adult). The project focuses on two techniques * Evaluation of unmodified mice lines for expression of a given gene using radiolabelled riboprobes and in-situ hybridization. * Creation of transgenic mice lines containing a BAC construct that expresses a marker gene in the same environment as the native gene | mouse, central nervous system, neuron, transgenic mouse, transgenic mouse line, cell line, in-situ hybridization, gene expression, embryonic, postnatal, adult, radiolabelled riboprobe, bac, gold standard |
has parent organization: NCBI is parent organization of: Retina Project |
NINDS | PMID:23457350 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02905 | http://www.ncbi.nlm.nih.gov/projects/gensat/ | SCR_003923 | 2026-02-14 02:05:50 | 3 | |||||
|
Integrated Brain Gene Expression Resource Report Resource Website |
Integrated Brain Gene Expression (RRID:SCR_004197) | data or information resource, database | Virtual database indexing brain region gene expression data from mice from: Gene Expression Nervous System Atlas (GENSAT), Allen Mouse Brain Atlas, and Mouse Genome Institute (MGI). | database, brain gene expression, molecular neuroanatomy resource, brain, gene expression, mouse, gene |
is used by: NIF Data Federation is related to: Gene Expression Nervous System Atlas is related to: Allen Mouse Brain Reference Atlas is related to: Mouse Genome Informatics (MGI) is related to: Allen Institute for Brain Science has parent organization: Integrated |
Restricted | nlx_22354 | https://legacy.neuinfo.org/mynif/search.php?q=*&t=indexable&list=cover&nif=nlx_154697-4 http://neuinfo.org/nif/nifgwt.html?query=nlx_22354, https://www.neuinfo.org/mynif/search.php?q=*&t=indexable&nif=nlx_22354-1, https://neuinfo.org/mynif/search.php?q=*&t=indexable&list=cover&nif=nlx_154697-4 | SCR_004197 | NIF Integrated Brain Gene Expression View, NIF Integrated Brain Gene Expression, Integrated BGE, Integrated Brain Gene Expression View, NIF Brain Gene Expression, Brain Gene Expression | 2026-02-14 02:05:51 | 0 | |||||||
|
Nephromine Resource Report Resource Website 10+ mentions |
Nephromine (RRID:SCR_003813) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE; REPLACED BY NEPHROSEQ; A growing database of publicly available renal gene expression profiles, a sophisticated analysis engine, and a powerful web application designed for data mining and visualization of gene expression. It provides unique access to datasets from the Personalized Molecular Nephrology Research Laboratory incorporating clinical data which is often difficult to collect from public sources and mouse data. | kidney, gene expression, visualization, clinical, expression profile, gene, mouse model, microarray |
is listed by: NIDDK Information Network (dkNET) is related to: Nephroseq has parent organization: University of Michigan; Ann Arbor; USA has parent organization: Life Technologies |
Kidney disease, Healthy, Lupus nephritis, Chronic kidney disease, Diabetic nephropathy | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_158114 | SCR_003813 | 2026-02-14 02:06:13 | 20 | ||||||||
|
Ancillary Domains Associated With Human and Mouse Proteases Resource Report Resource Website 1+ mentions |
Ancillary Domains Associated With Human and Mouse Proteases (RRID:SCR_008363) | Ancillary domains associated with human and mouse proteases | data or information resource, data set | Domains found in human and mouse proteases colour-coded according to the catalytic class in which they appear. Some of them appear in more than one catalytic group, and two-colours are used. Yellow, aspartyl proteases; blue, cysteine proteases; green, metalloproteases; and red, serine proteases. | protease, ancillary domain, catalytic domain, aspartyl protease, cysteine protease, metalloprotease, serine protease |
is related to: Mammalian Degradome Database has parent organization: University of Oviedo; Oviedo; Spain |
nif-0000-25547 | SCR_008363 | Ancillary Domains | 2026-02-14 02:07:24 | 2 | ||||||||
|
National Institutes of Health Stem Cell Tables Resource Report Resource Website |
National Institutes of Health Stem Cell Tables (RRID:SCR_008359) | NIH Stem Cells | data or information resource, data set | Data tables providing an overview of information about stem cells that have been derived from mice and humans. The tables summarize published research that characterizes cells that are capable of developing into cells of multiple germ layers (i.e., multipotent or pluripotent) or that can generate the differentiated cell types of another tissue (i.e., plasticity) such as a bone marrow cell becoming a neuronal cell. The tables do not include information about cells considered progenitor or precursor cells or those that can proliferate without the demonstrated ability to generate cell types of other tissues. The tables list the tissue from which the cells were derived, the types of cells that developed, the conditions under which differentiation occurred, the methods by which the cells were characterized, and the primary references for the information. | ectoderm, endoderm, adipocyte, astrocyte, bone marrow, brain, cardiac, chondrocyte, differentiation, germ layer, hematopoietic stem cell, human, liver, mesenchymal stem cell, mesoderm, mouse, muscle, neuron, neuronal, osteoblast, pancreas, plasticity, platelet, red blood cell, skeletal, skin, spinal cord, neural stem cell, tenocyte, tissue, white blood cell, stem cell, multipotent stem cell, pluripotent stem cell, embryonic stem cell, embryonic primordial germ cell, primordial germ cell, neural progenitor cell, mesenchymal progenitor cell | has parent organization: National Institutes of Health | NIH | nif-0000-25459 | http://stemcells.nih.gov/info/scireport/appendixD.asp | SCR_008359 | 2026-02-14 02:07:58 | 0 | |||||||
|
Integrated Technology Resource for Biomedical Glycomics Resource Report Resource Website 1+ mentions |
Integrated Technology Resource for Biomedical Glycomics (RRID:SCR_009003) | Integrated Technology Resource for Biomedical Glycomics | biomedical technology research center, training resource | Biomedical technology research center that develops and implements new technologies to investigate the glycome of cells, including glycoproteomics and glycoconjugate analysis, transcript analysis and bioinformatics. It develops the tools and technology to analyze in detail the glycoprotein and glycolipid expression of mouse embryonic stem cells and the cells into which they differentiate. The technology developed in the Center will allow an understanding of how glycosylation is controlled during differentiation and will allow the development of tools to promote the use of stem cells to treat human disease. In addition, the technology developed will be applicable to the study of other cell types, including cancer cells that are progressing to a more invasive phenotype. The technology developed will also allow others in the scientific community to participate in glycomics research through dissemination of the new methods developed and through the analytical services provided by the resource to other scientists requesting assistance in glycomic analyses. | systems biology technology center, glycome, cell, glycoproteomics, glycoconjugate analysis, transcript analysis, bioinformatics, glycoprotein, glycolipid, embryonic stem cell, glycosylation, stem cell, glycomics | has parent organization: University of Georgia; Georgia; USA | NCRR ; NIGMS |
nlx_152678 | SCR_009003 | NCRR Integrated Technology Resource for Biomedical Glycomics | 2026-02-14 02:08:00 | 1 |
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 SPARC SAWG Resources search. From here you can search through a compilation of resources used by SPARC SAWG and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that SPARC SAWG 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 SPARC SAWG then you can log in from here to get additional features in SPARC SAWG 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 SPARC SAWG 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.
