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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Type 1 Diabetes - Rapid Access to Intervention Development Resource Report Resource Website |
Type 1 Diabetes - Rapid Access to Intervention Development (RRID:SCR_000203) | T1D-RAID | service resource, resource | NOTE: The T1D-RAID program is not currently accepting applications. Cooperative program that makes available, on a competitive basis, NCI resources for the pre-clinical development of drugs, natural products, and biologics to facilitate translation to the clinic of novel, scientifically meritorious therapeutic interventions for type 1 diabetes and its complications. A partial listing of those services includes: high-throughput screening, studies in animal models, formulation, pharmacology and toxicology studies, and bulk substances acquisition. Requests to T1D-RAID are brief (20 pages or less), and should clearly outline the resources required to ready the proposed therapeutic agent for clinical trials. T1D-RAID should enable entry into the clinic of promising molecules that are not otherwise likely to receive an adequate and timely clinical test. T1D-RAID is designed to accomplish the tasks that are rate-limiting in bringing discoveries from the laboratory to the clinic. Once a project has been approved, NIDDKstaff interact directly with the Principal Investigator (PI). NCI contractors perform the T1D-RAID-approved tasks under the direction of NIDDKand NCI staff. The required tasks will vary from project to project. In some cases T1D-RAID will support only one or two key missing steps necessary to bring a compound to the clinic; in other cases it may be necessary to supply the entire portfolio of development requirements needed to file an IND. Examples of tasks that can be supported by T1D-RAID include, but are not limited to: * Definition or optimization of dose and schedule for in vivo activity * Development of pharmacology assays * Conduct of pharmacology studies with a pre-determined assay * Acquisition of bulk substance (GMP and non-GMP) * Scale-up production from lab-scale to clinical-trials lot scale * Development of suitable formulations * Development of analytical methods for bulk substances * Production of dosage forms * Stability assurance of dosage forms * Range-finding initial toxicology * IND-directed toxicology, with correlative pharmacology and histopathology * Planning of clinical trials * Regulatory affairs, so that FDA requirements are likely to be satisfied by participating investigators seeking to test new molecular entities in the clinic * IND filing advice The output of T1D-RAID activities will be both products and information that will be made fully available to the originating investigator for support of an IND application and clinical trials. T1D-RAID does not sponsor clinical trials. | therapeutic, drug, drug development, pharmacogenomics |
is listed by: NIDDK Information Network (dkNET) is related to: Type 1 Diabetes Preclinical Testing Program has parent organization: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases |
Type 1 diabetes, Diabetes | NCI ; NIDDK |
nlx_152742 | SCR_000203 | Type 1 Diabetes - Rapid Access to Intervention Development (T1D-RAID) | 2026-02-14 02:07:45 | 0 | ||||||
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GESS Resource Report Resource Website 1+ mentions |
GESS (RRID:SCR_021847) | data or information resource, database | Database of global evaluation of SARS-CoV-2/hCoV-19 sequences.Provides comprehensive analysis results based on tens of thousands of high-coverage and high-quality SARS-CoV-2 complete genomes. | global evaluation of SARS-CoV-2/hCoV-19 sequences, SARS-CoV-2 complete genomes | NCI P30 CA082709; Walther Cancer Foundation |
PMID:33045727 | Free, Freely available | SCR_021847 | Global Evaluation of SARS-CoV-2/hCoV-19 Sequences | 2026-02-14 02:06:34 | 1 | ||||||||
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Classification of Human Lung Carcinomas by mRNA Expression Profiling Reveals Distinct Adenocarcinoma Sub-classes Resource Report Resource Website 1+ mentions |
Classification of Human Lung Carcinomas by mRNA Expression Profiling Reveals Distinct Adenocarcinoma Sub-classes (RRID:SCR_003010) | data or information resource, data set | Data set of a molecular taxonomy of lung carcinoma, the leading cause of cancer death in the United States and worldwide. Using oligonucleotide microarrays, researchers analyzed mRNA expression levels corresponding to 12,600 transcript sequences in 186 lung tumor samples, including 139 adenocarcinomas resected from the lung. Hierarchical and probabilistic clustering of expression data defined distinct sub-classes of lung adenocarcinoma. Among these were tumors with high relative expression of neuroendocrine genes and of type II pneumocyte genes, respectively. Retrospective analysis revealed a less favorable outcome for the adenocarcinomas with neuroendocrine gene expression. The diagnostic potential of expression profiling is emphasized by its ability to discriminate primary lung adenocarcinomas from metastases of extra-pulmonary origin. These results suggest that integration of expression profile data with clinical parameters could aid in diagnosis of lung cancer patients. | molecular, taxonomy, lung, carcinoma, cancer, death, mrna, expression, sequence, data, adenocarcinoma, neuroendocrine, gene, type ii pneumocyte, analysis, metastasis, integration, mrna expression profiling | has parent organization: Broad Institute | Lung cancer | NCI U01 CA84995 | PMID:11707567 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30292 | SCR_003010 | Cancer Genomics Publication | 2026-02-14 02:07:20 | 2 | |||||
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National Longitudinal Mortality Study Resource Report Resource Website 10+ mentions |
National Longitudinal Mortality Study (RRID:SCR_008946) | NLMS | data or information resource, data set | A database based on a random sample of the noninstitutionalized population of the United States, developed for the purpose of studying the effects of demographic and socio-economic characteristics on differentials in mortality rates. It consists of data from 26 U.S. Current Population Surveys (CPS) cohorts, annual Social and Economic Supplements, and the 1980 Census cohort, combined with death certificate information to identify mortality status and cause of death covering the time interval, 1979 to 1998. The Current Population Surveys are March Supplements selected from the time period from March 1973 to March 1998. The NLMS routinely links geographical and demographic information from Census Bureau surveys and censuses to the NLMS database, and other available sources upon request. The Census Bureau and CMS have approved the linkage protocol and data acquisition is currently underway. The plan for the NLMS is to link information on mortality to the NLMS every two years from 1998 through 2006 with research on the resulting database to continue, at least, through 2009. The NLMS will continue to incorporate data from the yearly Annual Social and Economic Supplement into the study as the data become available. Based on the expected size of the Annual Social and Economic Supplements to be conducted, the expected number of deaths to be added to the NLMS through the updating process will increase the mortality content of the study to nearly 500,000 cases out of a total number of approximately 3.3 million records. This effort would also include expanding the NLMS population base by incorporating new March Supplement Current Population Survey data into the study as they become available. Linkages to the SEER and CMS datasets are also available. Data Availability: Due to the confidential nature of the data used in the NLMS, the public use dataset consists of a reduced number of CPS cohorts with a fixed follow-up period of five years. NIA does not make the data available directly. Research access to the entire NLMS database can be obtained through the NIA program contact listed. Interested investigators should email the NIA contact and send in a one page prospectus of the proposed project. NIA will approve projects based on their relevance to NIA/BSR''s areas of emphasis. Approved projects are then assigned to NLMS statisticians at the Census Bureau who work directly with the researcher to interface with the database. A modified version of the public use data files is available also through the Census restricted Data Centers. However, since the database is quite complex, many investigators have found that the most efficient way to access it is through the Census programmers. * Dates of Study: 1973-2009 * Study Features: Longitudinal * Sample Size: ~3.3 Million Link: *ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00134 | national, longitudinal, mortality, demographic, socio-economic, age, cause of death, death, death record, ethnicity, mortality rate, gender, marital status, race, late adult human, FASEB list |
is listed by: Inter-university Consortium for Political and Social Research (ICPSR) has parent organization: U.S. Census Bureau |
Aging | NCI ; NHLBI ; NIA ; National Center for Health Statistics ; U.S. Census Bureau |
Public | nlx_151861 | SCR_008946 | National Longitudinal Mortality Study (NLMS) | 2026-02-14 02:07:24 | 32 | |||||
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PHAROS Resource Report Resource Website |
PHAROS (RRID:SCR_016258) | TCRD | data or information resource, database | Database of ligands and diseases. Its goal is to develop a knowledge-base for the Druggable Genome (DG) in order to illuminate the uncharacterized and/or poorly annotated portion of the genome. DG, focusing on four of the most commonly drug-targeted protein families: G-protein-coupled receptors (GPCRs); nuclear receptors (NRs); ion channels (ICs); and kinases. | protein, target, disease, ligand, phenotype, drug, medication, pharmacology, gpcr, nuclear, receptor, ion, channel, kinase | Novo Nordisk Foundation NNF14CC0001; NCATS ; NCI U24 CA224370; NCI CA189205; NCI CA189201 |
PMID:27903890 | Freely available, Free, Available for download | SCR_016258 | Target Central Resource Database | 2026-02-14 02:06:53 | 0 | |||||||
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HumanBase Resource Report Resource Website 50+ mentions |
HumanBase (RRID:SCR_016145) | data or information resource, database | Formerly known as GIANT (Genome-scale Integrated Analysis of gene Networks in Tissues), HumanBase applies machine learning algorithms to learn biological associations from massive genomic data collections. These integrative analyses reach beyond existing "biological knowledge" represented in the literature to identify novel, data-driven associations. | genome, analysis, tissue, network, gene, machine, learning, biology | NIGMS R01 GM071966; NHGRI R01 HG005998; NHLBI U54 HL117798; NIGMS P20 GM103534; NHGRI T32 HG003284; NCI T32 CA009528; NIGMS P50 GM071508; US Department Of Health And Human Services HHSN272201000054C |
PMID:25915600 | Free, Public | SCR_016145 | GIANT (Genome-scale Integrated Analysis of gene Networks in Tissues), GIANT | 2026-02-14 02:06:53 | 74 | ||||||||
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Signaling Pathways Project Resource Report Resource Website 10+ mentions |
Signaling Pathways Project (RRID:SCR_018412) | SPP | data or information resource, database | Web multi omics knowledgebase based upon public, manually curated transcriptomic and cistromic datasets involving genetic and small molecule manipulations of cellular receptors, enzymes and transcription factors. Integrated omics knowledgebase for mammalian cellular signaling pathways. Web browser interface was designed to accommodate numerous routine data mining strategies. Datasets are biocurated versions of publically archived datasets and are formatted according to recommendations of the FORCE11 Joint Declaration on Data Citation Principles73, and are made available under Creative Commons CC 3.0 BY license. Original datasets are available. | Data integration, genetic database, gene regulatory network, cell signalling, cellular signalling network, transcriptomic data, manualy curated, cistromic data, cellular receptor, enzyme, transcrptomic factor, mammalian cellular signaling pathway, data mining strategy, dataset, , bio.tools |
is used by: Hypothesis Center is listed by: Debian is listed by: bio.tools works with: Gene Expression Omnibus (GEO) works with: NCBI Sequence Read Archive (SRA) |
NIDDK DK097771; NIDDK DK097748; NIDDK DK48807; NIDDK DK107535; NIDDK DK56338; NIDDK DK095686; NIDDK DK105126; NCI CA125123; NHLBI HL127624; Dan L. Duncan NCI Comprehensive Cancer Center at Baylor College of Medicine ; CPRIT RP150578 |
PMID:31672983 | Free, Freely available | r3d100013650, biotools:Signaling_Pathways_Project | https://bio.tools/Signaling_Pathways_Project https://doi.org/10.17616/R31NJN0Y |
https://www.signalingpathways.org | SCR_018412 | 2026-02-14 02:06:25 | 30 | ||||
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Molecular Signatures Database Resource Report Resource Website 500+ mentions |
Molecular Signatures Database (RRID:SCR_016863) | MSigDB | data or information resource, database | Collection of annotated gene sets for use with Gene Set Enrichment Analysis (GSEA) software. | collection, annotated, gene, set, GSEA, enrichment, analysis, genome, RNA, expression, data, FASEB list |
uses: GSEA uses: Gene Set Enrichment Analysis has parent organization: Broad Institute |
NCI ; NIH ; NIGMS |
Free, Freely available, Registration required to download GSEA software | SCR_016863 | Molecular Signatures Database, The Molecular Signatures Database, MSigDB, MSigDB database v6.2 | 2026-02-14 02:06:54 | 762 | |||||||
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Phenotypes and eXposures Toolkit Resource Report Resource Website 50+ mentions |
Phenotypes and eXposures Toolkit (RRID:SCR_006532) | PhenX Toolkit | database, catalog, data set, service resource, data or information resource, narrative resource, standard specification | Set of measures intended for use in large-scale genomic studies. Facilitate replication and validation across studies. Includes links to standards and resources in effort to facilitate data harmonization to legacy data. Measurement protocols that address wide range of research domains. Information about each protocol to ensure consistent data collection.Collections of protocols that add depth to Toolkit in specific areas.Tools to help investigators implement measurement protocols. | PhenX project, genome, phenotype, genome-wide association study, genetic variation, genomic study, substance abuse, addiction, substance use, environmental exposure, disease susceptibility, outcome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: RTI International has parent organization: Consensus Measures for Phenotype and Exposure has parent organization: Trans-Omics for Precision Medicine (TOPMed) Program has organization facet: PhenX Phenotypic Terms is organization facet of: Consensus Measures for Phenotype and Exposure |
NHGRI U01 HG004597; NHGRI U41HG007050; NIDA ; OBSSR ; NIMH ; NHLBI ; NIMHD ; TRSP ; NHGRI U24 HG012556; ODP ; NINDS ; NCI |
PMID:21749974 | Restricted | SCR_017475, biotools:PhenX_toolkit, nlx_144102 | https://bio.tools/PhenX_Toolkit | SCR_006532 | Phenotypes and eXposures Toolkit | 2026-02-15 09:19:30 | 61 | ||||
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CHASM/SNV-Box Resource Report Resource Website 1+ mentions |
CHASM/SNV-Box (RRID:SCR_006445) | CHASM/SNV-Box | data or information resource, database, software resource | CHASM is a method that predicts the functional significance of somatic missense mutations observed in the genomes of cancer cells, allowing mutations to be prioritized in subsequent functional studies, based on the probability that they give the cells a selective survival advantage. SNV-Box is a database of pre-computed features of all possible amino acid substitutions at every position of the annotated human exome. Users can rapidly retrieve features for a given protein amino acid substitution for use in machine learning. | is listed by: OMICtools | Cancer | NCI CA152432; NCI CA135866; NSF DBI0845275 |
Acknowledgement requested, Free, Non-commercial | OMICS_00127 | SCR_006445 | CHASM / SNV-Box, Cancer-specific High-throughput Annotation of Somatic Mutations | 2026-02-15 09:19:15 | 3 | ||||||
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Transdisciplinary Tobacco Use Research Centers Resource Report Resource Website |
Transdisciplinary Tobacco Use Research Centers (RRID:SCR_006858) | TTURC | disease-related portal, topical portal, data or information resource, portal | A transdisciplinary approach to the full spectrum of basic and applied research on tobacco use to reduce the disease burden of tobacco use, including: * Etiology of tobacco use and addiction * Impact of advertising and marketing * Prevention of tobacco use * Treatment of tobacco use and addiction * Identification of biomarkers of tobacco exposure * Identification of genes related to addiction and susceptibility to harm from tobacco Goals * Increase the number of investigators from relevant disciplines who focus on the study of tobacco use as part of transdisciplinary teams. * Generate basic research evidence to improve understanding of the etiology and natural history of tobacco use. * Produce evidence-based tobacco use interventions that can translate to the community and specific understudied or underserved populations. * Increase the number of evidence-based interventions that are novel, including the development, testing and dissemination of innovative behavioral treatments and prevention strategies based upon findings from basic research. * Train transdisciplinary investigators capable of conducting cutting-edge tobacco use research. * Increase the number of peer-reviewed publications in the areas of tobacco use, nicotine addiction, and treatment. | gene, genetic factor, addiction gene, behavioral treatment, biomarker, molecule, nicotine use disorder, prevention, psychosocial factor, smoking, smoking cessation, tobacco exposure, treatment, nicotine, prevention, tobacco, intervention | has parent organization: National Cancer Institute | Nicotine use disorder, Addiction | NCI ; NIDA ; NIAAA |
nif-0000-24133 | SCR_006858 | 2026-02-15 09:19:23 | 0 | |||||||
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WebGestalt: WEB-based GEne SeT AnaLysis Toolkit Resource Report Resource Website 1000+ mentions |
WebGestalt: WEB-based GEne SeT AnaLysis Toolkit (RRID:SCR_006786) | WebGestalt | web service, web application, data access protocol, software resource | Web based gene set analysis toolkit designed for functional genomic, proteomic, and large-scale genetic studies from which large number of gene lists (e.g. differentially expressed gene sets, co-expressed gene sets etc) are continuously generated. WebGestalt incorporates information from different public resources and provides a way for biologists to make sense out of gene lists. This version of WebGestalt supports eight organisms, including human, mouse, rat, worm, fly, yeast, dog, and zebrafish. | proteomic, gene expression, genome wide association study, statistical analysis, functional genomics, protein protein interaction, pathway, regulatory module, analysis toolkit, web application |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology is related to: Entrez Gene is related to: KEGG is related to: Pathway Commons is related to: WikiPathways is related to: PheWAS Catalog is related to: webgestaltr has parent organization: Vanderbilt University; Tennessee; USA |
NIAAA U01 AA016662; NIAAA U01 AA013512; NIDA P01 DA015027; NIMH P50 MH078028; NIMH P50 MH096972; NCI U24 CA159988; NIGMS R01 GM088822 |
PMID:24233776 PMID:15980575 PMID:14975175 |
Free, Freely available | OMICS_02222, nif-0000-30622 | http://bioinfo.vanderbilt.edu/webgestalt/ | SCR_006786 | GOTM, Gene Ontology Tree Machine, WebGestalt2, WEB-based GEne SeT AnaLysis Toolkit, WebGestalt | 2026-02-15 09:19:21 | 2760 | ||||
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Weighted Gene Co-expression Network Analysis Resource Report Resource Website 1000+ mentions |
Weighted Gene Co-expression Network Analysis (RRID:SCR_003302) | WGCNA | software application, data processing software, data analysis software, software resource | Software R package for weighted correlation network analysis. WGCNA is also available as point-and-click application. Unfortunately this application is not maintained anymore. It is known to have compatibility problems with R-2.8.x and newer, and the methods it implements are not all state of the art., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, co-expression, analysis, network, bio.tools, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: University of California at Los Angeles; California; USA |
NCI P50CA092131; NIDA 1R01DA030913-01; NIDCR R01DE019255; NIAID U19 AI063603-01 |
PMID:19114008 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31889, biotools:crosslinkwgcna | http://labs.genetics.ucla.edu/horvath/htdocs/CoexpressionNetwork/Rpackages/WGCNA/#citation https://bio.tools/crosslinkwgcna |
SCR_003302 | WGCNA: an R package for weighted correlation network analysis | 2026-02-15 09:18:32 | 1860 | ||||
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Glioma Molecular Dignostic Initiatives Resource Report Resource Website 10+ mentions |
Glioma Molecular Dignostic Initiatives (RRID:SCR_003329) | GMDI | service resource, storage service resource, data repository, data or information resource, narrative resource, standard specification, controlled vocabulary | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 28,2023. An initiative to develop a molecular classification schema that is both clinically and biologically meaningful, based on gene expression and genomic data from tumors (Gliomas) of patients who will be prospectively followed through natural history and treatment phase of their illness. The study will also explore gene expression profiles to determine the responsiveness of the patients and correlate with discrete chromosomal abnormalities. The initiative was designed to obtain a large amount of molecular data on DNA and RNA of freshly collected tumor samples that were collected, processed and analyzed in a standardized fashion to allow for large-scale cross sample analysis. The sample collection is accompanied by careful and prospective clinical data acquisition, allowing a variety of matched molecular and clinical data permitting a wide variety of analyses. GMDI has accrued fresh frozen tumors in the retrospective phase (all from the Henry Ford Hospital, without germline DNA) and fresh frozen tumors in the prospective phase (from a variety of institutions). In addition to characterizing the samples from patients enrolled in GMDI, the microarray group has generated genomic-scale analyses of the many human and canine glioma initiating cells/glioma stem cells (GIC/GSC) lines, as well as many canine and murine normal neural stem cell (NSC) lines produced in laboratory. | molecular neuroanatomy resource, molecular data, clinical data, genomic analyses, genomics, gene, expression array, snp array, gene expression, microarray, glioma initiating cell, glioma stem cell, protein, glioma, molecular, diagnostic, dna, rna, tumor, tissue, blood, plasma, data repository |
is listed by: One Mind Biospecimen Bank Listing is related to: Repository of molecular brain neoplasia data has parent organization: National Cancer Institute |
Glioma, Brain cancer, Brain tumor | NCI | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31950 | http://search.engrant.com/project/NxvG9G/the_glioma_molecular_diagnostic_initiative_characterizing_brain_tumor_data | SCR_003329 | Glioma Molecular Diagnostic Initiative: Characterizing Brain Tumor Data | 2026-02-15 09:18:29 | 17 | ||||
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Duke Cancer Institute Resource Report Resource Website 1+ mentions |
Duke Cancer Institute (RRID:SCR_004338) | DCI | topical portal, data or information resource, portal | One of 40 centers in the country designated by the National Cancer Institute (NCI) as a comprehensive cancer center, it combines cutting-edge research with compassionate care. Its vision is to accelerate research advances related to cancer and improve Duke''s ability to translate these discoveries into the most advanced cancer care to patients by uniting hundreds of cancer physicians, researchers, educators, and staff across the medical center, medical school, and health system under a shared administrative structure. | cancer, patient, research, clinical trial |
is related to: Biospecimen Repository and Processing Core has parent organization: Duke University School of Medicine; North Carolina; USA is parent organization of: DCI Tissue and Blood Procurement Shared Resource |
Cancer | NCI | nlx_143695 | http://www.cancer.duke.edu/ | SCR_004338 | Duke Cancer Institute: A National Cancer Institute-designated Comprehensive Cancer Center | 2026-02-15 09:18:41 | 1 | |||||
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Stem Cell Discovery Engine Resource Report Resource Website 50+ mentions |
Stem Cell Discovery Engine (RRID:SCR_004453) | SCDE | source code, database, software resource, service resource, storage service resource, data repository, production service resource, data or information resource, analysis service resource | An online database of curated cancer stem cell (CSC) experiments coupled to the Galaxy analytical framework. Driven by a need to improve our understanding of molecular processes that are common and unique across cancer stem cells (CSCs), the SCDE allows users to consistently describe, share and compare CSC data at the gene and pathway level. The initial focus has been on carefully curating tissue and cancer stem cell-related experiments from blood, intestine and brain to create a high quality resource containing 53 public studies and 1098 assays. The experimental information is captured and stored in the multi-omics Investigation/Study/Assay (ISA-Tab) format and can be queried in the data repository. A linked Galaxy framework provides a comprehensive, flexible environment populated with novel tools for gene list comparisons against molecular signatures in GeneSigDB and MSigDB, curated experiments in the SCDE and pathways in WikiPathways. Investigation/Study/Assay (ISA) infrastructure is the first general-purpose format and freely available desktop software suite targeted to experimentalists, curators and developers and that: * assists in the reporting and local management of experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships) from studies employing one or a combination of technologies; * empowers users to uptake community-defined minimum information checklists and ontologies, where required; * formats studies for submission to a growing number of international public repositories endorsing the tools, currently ENA (genomics), PRIDE (proteomics) and ArrayExpress (transcriptomics). Galaxy allows you to do analyses you cannot do anywhere else without the need to install or download anything. You can analyze multiple alignments, compare genomic annotations, profile metagenomic samples and much much more. Best of all, Galaxy''''s history system provides a complete analyses record that can be shared. Every history is an analysis workflow, which can be used to reproduce the entire experiment. The code for this Galaxy instance is available for download from BitBucket. | stem cell, analysis, cancer stem cell, galaxy, gene, pathway, molecular signature, tissue, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: Galaxy is related to: Galaxy is related to: ISA Infrastructure for Managing Experimental Metadata has parent organization: Harvard T.H. Chan School of Public Health |
Cancer | NCI 1RC2CA148222-01 | PMID:22121217 | Free, The community can contribute to this resource | biotools:scde_discovery, nlx_44656 | https://bio.tools/scde_discovery | SCR_004453 | Harvard Stem Cell Discovery Engine, SCDE - Stem Cell Discovery Engine | 2026-02-15 09:18:43 | 57 | |||
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Case Western Reserve University Case Comprehensive Cancer Center Resource Report Resource Website |
Case Western Reserve University Case Comprehensive Cancer Center (RRID:SCR_004387) | Case CCC, CWRU Case CCC | portal, service resource, core facility, data or information resource, access service resource, topical portal | Core is a partnership organization supporting all cancer-related research efforts at CWRU, University Hospitals Case Medical Center, and the Cleveland Clinic. The Case CCC is organized into 9 interdisciplinary scientific programs plus one program initiative. Research programs of the Case CCC are extending into CWRU affiliated hospitals including MetroHealth Medical Center (the region's county hospital), Louis Stokes Veterans Affairs Hospital, and 13 community medical centers operated by University Hospitals and Cleveland Clinic. The Center operates an NCI-supported Cancer Information Service (CIS) serving the northern half of Ohio as part of the Midwest consortium and has an active outreach program for clinical practice-based prevention and screening initiatives, educational programs, minority recruitment, and facilitation of patient referrals. Case CCC is a member of NCI's CaBIG initiative and is actively pursuing electronic databases for clinical trials, tissue repositories, and related bioinformatics. |
has parent organization: Case Western Reserve University; Ohio; USA is parent organization of: Case Comprehensive Cancer Center Biorepository and Tissue Processing Core Facility |
NCI | Available to external user | nlx_40003 | SCR_004387 | 2026-02-15 09:18:46 | 0 | ||||||||
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NCI Office of Biospecimens Resource Report Resource Website 1+ mentions |
NCI Office of Biospecimens (RRID:SCR_007076) | OBBR | portal, data or information resource, narrative resource, standard specification, topical portal | The NCI Office of Biorepositories and Biospecimen Research (OBBR) was established in 2005 in recognition of the critical role that biospecimens play in cancer research. The OBBR is responsible for developing a common biorepository infrastructure that promotes resource sharing and team science, in order to facilitate multi-institutional, high throughput genomic and proteomic studies. OBBR is focused on the following objectives: * Establish biobanking as a new area of research, in order to determine the impact of various collection and processing protocols on the usefulness of biospecimens in genomic and proteomic studies * Disseminate first-generation Best Practices in order to harmonize policies and procedures of NCI-supported biorepositories * Develop future generations of biorepository best practices, based on the data generated in the biobanking research programs above * Promote professional oversight of biospecimen standards development by standards organizations * Develop new technologies for biorepository operations * Develop a biorepository accreditation program * Coordinate with the international biobanking community to harmonize policies and procedures to facilitate multi-national research | has parent organization: National Cancer Institute | NCI | nlx_29021 | SCR_007076 | Office of Biorepositories and Biospecimen Research, NCI OBBR, NCI Office of Biorepositories and Biospecimen Research, National Cancer Institute Office of Biorepositories and Biospecimen Research | 2026-02-15 09:19:27 | 2 | ||||||||
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ModelDB Resource Report Resource Website 100+ mentions |
ModelDB (RRID:SCR_007271) | ModelDB | database, service resource, storage service resource, data repository, data or information resource | Curated database of published models so that they can be openly accessed, downloaded, and tested to support computational neuroscience. Provides accessible location for storing and efficiently retrieving computational neuroscience models.Coupled with NeuronDB. Models can be coded in any language for any environment. Model code can be viewed before downloading and browsers can be set to auto-launch the models. The model source code has to be available from publicly accessible online repository or WWW site. Original source code is used to generate simulation results from which authors derived their published insights and conclusions. | repository, collection, network, neuron, computational, neuroscience, model, simulation, neural, data |
is used by: NIF Data Federation lists: ModelRun is listed by: 3DVC is listed by: Biositemaps is listed by: Integrated Models is related to: SimToolDB is related to: NeuronDB is related to: NeuronVisio is related to: Integrated Manually Extracted Annotation is related to: Allen Institute for Brain Science has parent organization: Yale University; Connecticut; USA works with: MicrocircuitDB |
NIMH ; NINDS ; NCI ; Human Brain Project ; NIDCD P01 DC004732; NIDCD R01 DC009977 |
PMID:15218350 PMID:15055399 PMID:8930855 |
Free, Freely available, Acknowledgement requested | nif-0000-00004, r3d100011330 | https://doi.org/10.17616/R3P61F | SCR_007271 | Model_DB, Model Database, Model DB, Model-DB | 2026-02-15 09:19:44 | 304 | ||||
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Mouse Gene Expression at the BC Cancer Agency Resource Report Resource Website 10+ mentions |
Mouse Gene Expression at the BC Cancer Agency (RRID:SCR_008091) | Mouse Gene Expression at the BC Cancer Agency | portal, database, atlas, data or information resource, topical portal | A portal to the Mouse Atlas of Gene Expression Project and Dissecting Gene Expression Networks in Mammalian Organogenesis Project. This Atlas will define the normal state for many tissues by determining, in a comprehensive and quantitative fashion, the number and identity of genes expressed throughout development. The resource will be comprehensive, quantitative, and publicly accessible, containing data on essentially all genes expressed throughout select stages of mouse development. Serial Analysis of Gene Expression (SAGE) is the gene expression methodology of choice for this work. Unlike expressed sequence tags (ESTs) and gene chip data, SAGE data are independent of prior gene discovery and are quantitative. Furthermore, SAGE data are digital, easily exchanged between laboratories for comparison and can be added to by scientists for years to come. Thus, this Atlas will include a data structure and data curation strategy that will facilitate the ongoing collection of gene expression data, even after the completion of this project. The Mouse Atlas project compromises 202 SAGE Libraries from 198 tissues. The list of libraries is available in a number of different groupings, including groups of libraries taken from specific tissue locations and libraries taken from specific developmental stages. Furthermore, this atlas will assemble gene expression profiles for a few focused experiments that will test hypotheses related to the techniques employed, tumor models and models of abnormal development. This will test the resource and provide quality control, validation and demonstrate applicability. Additionally, The Mammalian Organogenesis - Regulation by Gene Expression Networks (MORGEN) project will provide a complete, permanent, and accurate picture of mouse gene expression in the heart (atrioventricular canal and outflow tract), pancreas, and liver; new techniques to understand the interplay of proteins governing the expression of genes key to the development of these organ systems; and the identification of the master regulatory switches that control development of the tissues. | gene, gene expression, abnormal development, development, heart, liver, mouse, organ system, pancreas, protein, tissue, tumor | has parent organization: BC Cancer Agency | Genome Canada ; BC Cancer Agency ; BC Cancer Foundation ; NCI |
nif-0000-11029 | SCR_008091 | 2026-02-15 09:19:48 | 15 |
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