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 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
COBrA Resource Report Resource Website 1000+ mentions |
COBrA (RRID:SCR_005677) | COBrA | software resource | COBrA is a Java-based ontology editor for bio-ontologies that distinguishes itself from other editors by supporting the linking of concepts between two ontologies, and providing sophisticated analysis and verification functions. In addition to the Gene Ontology and Open Biology Ontologies formats, COBrA can import and export ontologies in the Semantic Web formats RDF, RDFS and OWL. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | ontology, anatomy, browser, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: OBO has parent organization: University of Edinburgh; Scotland; United Kingdom |
BBSRC 15/BEP 17046 | PMID:15513995 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149117 | SCR_005677 | COBrA - An Ontology Browser for Anatomy, COBrA: a bio-ontology editor | 2026-08-01 12:02:57 | 1396 | |||||
|
Roth Laboratory Resource Report Resource Website 1+ mentions |
Roth Laboratory (RRID:SCR_005711) | Roth Lab | data or information resource, laboratory portal, portal, software resource, organization portal | The Roth Laboratory is designing and interpreting large-scale experiments to understand pathway structure and its relationship to phenotype and human disease. Software for research focused on a specific research goal is available. Current experimental interests: * Exploiting parallel sequencing technology to phenotype all pairwise gene deletion combinations in S. cerevisiae, with initial application to genes involved in transcription. * Generation of S. cerevisiae strains carrying dozens of chosen targeted deletions, with initial application to delete all ABC transporters imparting multidrug resistance. * Targeted insertion of gene sets encoding entire human pathways into S. cerevisiae, with initial application to genes involved in drug metabolism. Current computational interests: * Systematic analysis of genetic interaction to reveal redundant systems and order of action in genetic pathways * Integrating large-scale studies - including phenotype, genetic epistasis, protein-protein and transcription-regulatory interactions and sequence patterns - to quantitatively assign function to genes and guide experimentation and disease association studies. * Alternative splicing and its relationship to protein interaction networks. | gene, pathway, phenotype, disease, transcription, drug metabolism, drug, metabolism, protein-protein interaction, transcription-regulatory interaction, protein interaction, protein |
has parent organization: University of Toronto; Ontario; Canada has parent organization: Harvard Medical School; Massachusetts; USA is parent organization of: FuncAssociate: The Gene Set Functionator |
nlx_149163 | http://llama.med.harvard.edu | SCR_005711 | 2026-08-01 12:02:57 | 5 | ||||||||
|
netClass Resource Report Resource Website |
netClass (RRID:SCR_005672) | netClass | software resource | An R package for network-based feature (gene) selection for biomarkers discovery via integrating biological information. The package adapts the following 5 algorithms for classifying and predicting gene expression data using prior knowledge: # average gene expression of pathway (aep); # pathway activities classification (PAC); # Hub network classification (hubc); # filter via top ranked genes (FrSVM); # network smoothed t-statistic (stSVM). | protein-protein interaction network, biomarker discovery, classification, micoarray, gene expression profile, protein-protein interaction, gene expression, gene, biomarker |
is listed by: OMICtools has parent organization: SourceForge |
PMID:24443376 | Free, Public | OMICS_02241 | SCR_005672 | 2026-08-01 12:03:01 | 0 | |||||||
|
University of Pacific; California; USA Resource Report Resource Website |
University of Pacific; California; USA (RRID:SCR_005706) | university | Private Methodist affiliated university with its main campus in Stockton, California, and graduate campuses in San Francisco and Sacramento. | is parent organization of: University of the Pacific School of Pharmacy and Health Sciences | nlx_70007 | SCR_005706 | 2026-08-01 12:02:57 | 0 | |||||||||||
|
GUMC Department of Biostatistics Bioinformatics and Biomathematics - Liu Lab Resource Report Resource Website |
GUMC Department of Biostatistics Bioinformatics and Biomathematics - Liu Lab (RRID:SCR_005708) | GUMC Liu Lab | portal, organization portal, data or information resource, laboratory portal | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. | microarray, data mining, natural language processing, biomedical, ontology, biomedicine, data analysis, dna microarray, gene | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149157 | SCR_005708 | Georgetown University Medical Center Department of Biostatistics Bioinformatics and Biomathematics - Liu Lab, Georgetown University Medical Center Liu Lab, GUMC Department of Biostatistics Bioinformatics Biomathematics - Liu Lab | 2026-08-01 12:02:58 | 0 | ||||||||
|
GeneMANIA Resource Report Resource Website 1000+ mentions |
GeneMANIA (RRID:SCR_005709) | GeneMANIA | data analysis service, data or information resource, database, service resource, production service resource, software resource, analysis service resource | Data analysis service to predict the function of your favorite genes and gene sets. Indexing 1,421 association networks containing 266,984,699 interactions mapped to 155,238 genes from 7 organisms. GeneMANIA interaction networks are available for download in plain text format. GeneMANIA finds other genes that are related to a set of input genes, using a very large set of functional association data. Association data include protein and genetic interactions, pathways, co-expression, co-localization and protein domain similarity. You can use GeneMANIA to find new members of a pathway or complex, find additional genes you may have missed in your screen or find new genes with a specific function, such as protein kinases. Your question is defined by the set of genes you input. If members of your gene list make up a protein complex, GeneMANIA will return more potential members of the protein complex. If you enter a gene list, GeneMANIA will return connections between your genes, within the selected datasets. GeneMANIA suggests annotations for genes based on Gene Ontology term enrichment of highly interacting genes with the gene of interest. GeneMANIA is also a gene recommendation system. GeneMANIA is also accessible via a Cytoscape plugin, designed for power users. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, association data, protein interaction, genetic interaction, pathway, co-expression, co-localization, protein, software library, statistical analysis, term enrichment, analysis, browser, gene ontology, gene predicting, gene prioritization, database or data warehouse, other analysis, interaction browser, protein-protein interaction, interaction, FASEB list |
is listed by: Gene Ontology Tools is related to: Cytoscape is related to: Gene Ontology is related to: PSICQUIC Registry has parent organization: University of Toronto; Ontario; Canada |
Genome Canada ; Ontario Ministry of Research and Innovation 2007-OGI-TD-05 |
PMID:20576703 PMID:18613948 PMID:20926419 |
Open unspecified license, Free for academic use | nlx_149159, r3d100013978 | https://doi.org/10.17616/R31NJNA2 | SCR_005709 | 2026-08-01 12:03:01 | 3358 | |||||
|
DMRforPairs Resource Report Resource Website 1+ mentions |
DMRforPairs (RRID:SCR_005702) | software resource | Software for identifying differentially methylated regions between unique samples using array based methylation profiles. It allows researchers to compare n greater than or equal to 2 unique samples with regard to their methylation profile. The (pairwise) comparison of n unique single samples distinguishesit from other existing pipelines as these often compare groups of samples in either single CpG locus or region based analysis. DMRforPairs defines regions of interest as genomic ranges with sufficient probes located in close proximity to each other. Probes in one region are optionally annotated to the same functional class(es). Differential methylation is evaluated by comparing the methylation values within each region between individual samples and (if the difference is sufficiently large), testing this difference formally for statistical significance. | standalone software, mac os x, unix/linux, windows, r, annotation, dna methylation, differential methylation, microarray, report writing, visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Bioconductor |
PMID:24884391 | GNU General Public License, v2 or greater | biotools:dmrforpairs, OMICS_04059 | https://bio.tools/dmrforpairs | SCR_005702 | DMR2+, DMRforPairs: identifying Differentially Methylated Regions between unique samples using array based methylation profiles | 2026-08-01 12:03:01 | 4 | ||||||
|
Research at Cincinnati Childrens Resource Report Resource Website |
Research at Cincinnati Childrens (RRID:SCR_005703) | Research at Cincinnati Children's | data or information resource, portal, service resource, training service resource, training resource, organization portal | Foundation scientists and physicians conduct breakthrough research to improve care for children as well as train the next generation of investigators. Cincinnati Children's Research Foundation is dedicated to advancing basic, translational, clinical and outcomes-based research. Why choose our cores for your research? We can provide you with cutting-edge, cost-effective technology and data analysis that would be unattainable on an individual research basis. Our fee-for-service program also offers unique studies that you can't find anywhere else. Our faculty also has access to the research cores hosted at the University of Cincinnati College of Medicine. * Animal Behavioral Core * Cardiovascular Imaging Core * Cell Manipulations Laboratory * Cell Processing Core * Cincinnati Biobank * Cincinnati Center for Nutritional Research and Analysis * Comprehensive Mouse and Cancer Core * Gene Expression Microarray Core * Genetic Variation and Gene Discovery Core * Imaging Research Center * Laser Capture Microdissection Microscopy * Lenti-shRNA Library Core * Pathology Research Core * Pluripotent Stem Cell Facility * Research Flow Cytometry Core * Stem Cell Processing Core Lab * Transgenic and Gene Targeting Core * Translational Core Labs * Translational Trials Development and Support Laboratory (TTDSL) * Vector Production Facility * Veterinary Services * Viral Vector Core Support Services: We provide expert consultation, including grant proposal design, data management and regulatory compliance, to investigators at Cincinnati Children's. Research Education and Training: The Cincinnati Children's Research Foundation offers research-based education and training options for scientists, often in conjunction with the University of Cincinnati. High School Programs, Undergraduate Programs, Graduate Degree Programs, Medical Student Program, Postgraduate Programs, Postdoctoral Programs | pediatric, child, young human | nlx_149152 | SCR_005703 | Cincinnati Children's Research Foundation | 2026-08-01 12:02:57 | 0 | |||||||||
|
University of Barcelona Statistics and Bioinformatics Research Group Resource Report Resource Website |
University of Barcelona Statistics and Bioinformatics Research Group (RRID:SCR_005704) | UB Statistics and Bioinformatics Research Group | data analysis service, data or information resource, portal, service resource, topical portal, production service resource, analysis service resource | The Statistics and Bioinformatics research group has as its main objectives the development of methods and tools to deal with problems appearing in the interface between Statistics and Bioinformatics. We started focusing in DNA microarrays but we are also interested in statistical methods for ''omics'' data integration and next generation sequencing (NGS). Our group collaborates with different research groups in the fields of biology and biomedicine, to whom it offers statistical support for problems which are specifically statistic in nature, such as experimental design or microarray data analysis, and also in more general aspects, such as modeling, analysis or data mining. After a first period of collaboration agreements with the Fundaci�� Vall d''Hebr��n Institut de Recerca we contributed to the creation of the Statistics and Bioinformatics Unit (UEB) which provides statistical and bioinformatical support to VHIR researchers. | statistics, bioinformatics, next generation sequencing, dna microarray, dna, microarray, biology, biomedicine, data mining, modeling, analysis | has parent organization: University of Barcelona; Barcelona; Spain | nlx_149154 | SCR_005704 | University of Barcelona Statistics Bioinformatics Research Group | 2026-08-01 12:02:58 | 0 | ||||||||
|
University of Lorraine; Lorraine; France Resource Report Resource Website |
University of Lorraine; Lorraine; France (RRID:SCR_005705) | UL | university | French public university. | is parent organization of: Suggested Ontology for Pharmacogenomics | Wikidata:Q4173330, Crossref funder ID:100008990, nlx_158101, ISNI:0000 0001 2194 6418, grid.29172.3f | https://ror.org/04vfs2w97 | SCR_005705 | Universit� de Lorraine, University of Lorraine, Universite de Lorraine | 2026-08-01 12:03:01 | 0 | ||||||||
|
go-moose Resource Report Resource Website |
go-moose (RRID:SCR_005666) | go-moose | data processing software, data analysis software, software application, software resource | go-moose is intended as a replacement for the aging go-perl and go-db-perl Perl libraries. It is written using the object oriented Moose libraries. It can be used for performing a number of analyses on GO data, including the remapping of GO annotations to a selected subset of GO terms. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | software library, slimmer-type tool, analysis, gene ontology, other analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: go-perl is related to: go-db-perl has parent organization: SourceForge has parent organization: Berkeley Bioinformatics Open-Source Projects has parent organization: Lawrence Berkeley National Laboratory |
Free for academic use | nlx_149189 | SCR_005666 | 2026-08-01 12:03:01 | 0 | ||||||||
|
MolGen Resource Report Resource Website 10+ mentions |
MolGen (RRID:SCR_005700) | MolGen | topical portal, data or information resource, portal | The research of the group concentrates on the molecular biology of Gram-positive bacteria, with Bacillus subtilis and Lactococcus lactis as the main model organisms. A number of important (human) pathogens are also investigated: Bacillus cereus, Streptococcus pneumoniae and Enterococcus faecalis. The nature of the research is both fundamental and application-oriented. Transcript- and protein profiling by high-throughput technologies such as DNA microarrays and proteomics tools are being used. The very large data sets generated are analyzed by employing existing and novel bioinformatics tools. Major lines of research are in the field of functional genomics of these organisms, using systems- and synthetic biology approaches. | molecular biology, gram-positive bacteria, pathogen, transcript, protein, profile, high-throughput, dna microarray, proteomics, dna, microarray, functional genomics, bioinformatics, genetics, gene |
has parent organization: University of Groningen; Groningen; Netherlands is parent organization of: FIVA - Functional Information Viewer and Analyzer |
nlx_149166 | http://molgen.biol.rug.nl/molgen/index.php | SCR_005700 | Molecular Genetics | 2026-08-01 12:02:57 | 27 | |||||||
|
KI Biobank Resource Report Resource Website |
KI Biobank (RRID:SCR_005664) | KI Biobank - Gallstone | biomaterial supply resource, material resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. KI Biobank - Gallstone aims at investigating genetics of gallstone disease on Swedish Twins. Types of samples * EDTA whole blood * DNA * Plasma Number of sample donors: 82 | gene, genetics |
is listed by: One Mind Biospecimen Bank Listing is related to: Swedish Twin Registry has parent organization: Karolisnka Biobank |
Gallstone disease, Twin | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151297, nlx_151300, SCR_005796 | https://www.researchgate.net/publication/246710484_Gallstone_disease_in_Swedish_twins_is_linked_to_ABCG8_D19H_risk_genotype | SCR_005664 | KI Biobank - Gallstone, KI Biobank - KTS | 2026-08-01 12:02:57 | 0 | |||||
|
NIDA Podcasts Resource Report Resource Website |
NIDA Podcasts (RRID:SCR_005660) | NIDA Podcasts | narrative resource, podcast, data or information resource | Audio clips that highlight research efforts at the National Institute on Drug Abuse and include interviews with prominent NIDA scientists. To listen to these clips, just click Listen Now under the clip summary. You must have Real Media Player or Windows Media Player installed to download these clips. To view a printable transcript of a clip, click View Transcript under the clip summary. | drug abuse, transcript | has parent organization: National Institute on Drug Abuse | NIDA | All of these clips are free from copyright and can be used for broadcast or other use with acknowledgement of the National Institute on Drug Abuse. | nlx_149377 | SCR_005660 | 2026-08-01 12:03:01 | 0 | |||||||
|
Stanford Center for Biomedical Informatics Research Resource Report Resource Website |
Stanford Center for Biomedical Informatics Research (RRID:SCR_005698) | BMIR | portal, organization portal, data or information resource, laboratory portal | Mark Musen''s laboratory studies components for building knowledge-based systems, controlled terminologies and ontologies, and technology for the Semantic Web. For more than two decades, Musen''s group has worked to elucidate reusable building blocks of intelligent systems, and to develop scalable computational architectures for systems with significant applications in biomedicine. Informatics is the study of information: its structure, its communication, and its use. As society becomes increasingly information intensive, the need to understand, create, and apply new methods for modeling, managing, and acquiring information has never been greater especially in biomedicine. BMIR is home to world class scientists and trainees developing cutting-edge ways to acquire, represent, process, and manage knowledge and data related to health, health care, and the biomedical sciences. Our faculty, students, and staff are committed to ensuring the biomedical community is properly equipped for the information age, and believe our efforts will provide the structure for the burgeoning revolution of health care and the biomedical sciences. | biomedicine, informatics |
has parent organization: Stanford University; Stanford; California is parent organization of: CLENCH is parent organization of: BioPortal is parent organization of: Center for Expanded Data Annotation and Retrieval is parent organization of: Protege is parent organization of: WebProtege |
nlx_149147 | SCR_005698 | Stanford Medical Informatics | 2026-08-01 12:02:58 | 0 | ||||||||
|
Science of Mental Illness: Grades 6- 8 Resource Report Resource Website |
Science of Mental Illness: Grades 6- 8 (RRID:SCR_005612) | video resource, data or information resource, narrative resource, training material | A set of lessons for students used to gain insight into the biological basis of mental illnesses and how scientific evidence and research can help us understand its causes and lead to treatments and, ultimately, cures. Both the Web version and the free supplement are available. It is a creative, inquiry-based instruction program designed to promote active learning and stimulate student interest in medical topics. This curriculum supplement aims to help students experience the process of scientific inquiry and develop an enhanced understanding of the nature and methods of science. | mental disease, treatment, human, curriculum, student, adolescent, teacher, teacher's guide, lesson plan, k-12, training resource | has parent organization: NIMH Educational Resources | National Institute of Mental Health | nlx_146230 | http://science.education.nih.gov/customers.nsf/MSMental | SCR_005612 | Science of Mental Illness | 2026-08-01 12:02:55 | 0 | |||||||
|
geneXplain Resource Report Resource Website 50+ mentions |
geneXplain (RRID:SCR_005573) | GeneXplain | software toolkit, workflow software, software application, data processing software, software resource | An online toolbox and workflow management system for a broad range of bioinformatic and systems biology applications. The individual modules, or Bricks, are unified under a standardized interface, with a consistent look-and-feel and can flexibly be put together to comprehensive workflows. The workflow management is intuitively handled through a simple drag-and-drop system. With this system, you can edit the predefined workflows or compose your own workflows from scratch. Your own Bricks can easily be added as scripts or plug-ins and can be used in combination with pre-existing analyses. GeneXplain GmbH provides a number of state-of-the-art bricks; some of them can be obtained free of charge, while others require licensing for small fee in order to guarantee active maintenance and dynamic adaptation to the rapidly developing know-how in this field. | scientific workflow, bioinformatics, systems biology, network modeling, microarray, proteomics, mirna, chip-chip, sequence, biomarker, gene expression | nlx_146199 | SCR_005573 | geneXplain GmbH | 2026-08-01 12:02:54 | 66 | |||||||||
|
Virtual Biology Lab Resource Report Resource Website |
Virtual Biology Lab (RRID:SCR_005694) | Virtual Biology | data or information resource, laboratory portal, portal, software resource, organization portal | Virtual Biology Lab portal from the University of Nice Sophia Antipolis; Nice; France. Offered are a variety of software including: * GenBank2Treedyn: Extract annotations from GenBank files for: ** More convenient alignments and phylogeny (replace def line of fasta file by GI number) ** Extremely powerful annotations of phylogenetic trees with TreeDyn. * THEA: Analyses of DNA chip data with ontologies * Blast2Tree: Blast server for the identification of procaryotes * Dashboard: e-Tool for data exchanges among partners, DNA chips design and developement * Oligo Heat Map: Check thermodynamical parameters for PCR primers and compute graphical representation to show specificity of target sequences * EmblEx: A cgi tool to parse and extract data from EMBL entries to various formats * Miscellaneous software ** Jane plugin: Add a small panel to Jane server to retrieve PMID of publications ** EtBlast plugin: Add a small panel to EtBlast server to retrieve PMID of publications ** Oligo Builder: Get the oligomers from a set of target sequences by avoiding non-target sequences | biodiversity, ontology, bioinformatics, thea, ontology |
has parent organization: University of Nice Sophia Antipolis; Nice; France is parent organization of: THEA - Tools for High-throughput Experiments Analysis |
nlx_149144 | SCR_005694 | Virtual Biology Laboratory | 2026-08-01 12:02:58 | 0 | ||||||||
|
BIIT - Bioinformatics Algorithmics and Data Mining Group Resource Report Resource Website 1+ mentions |
BIIT - Bioinformatics Algorithmics and Data Mining Group (RRID:SCR_005690) | BIIT Research group | data or information resource, text-mining software, portal, software application, software resource, organization portal, department portal | The Bioinformatics, Algorithmics, and Data Mining group BIIT lead by prof. Jaak Vilo is a joint research group between the Department of Computer Science (University of Tartu), Quretec, and the Estonian Biocenter. Our main research topics and capabilities include the gene regulation, gene expression data analysis, biological data mining, systems biology, combinatorial pattern matching, developing software for biomedical research databases, as well as partnering in stem cell and cancer related projects. Software * MEM - Multi-Experiment-Matrix -- large-scale gene expression data queries and mining (Genome Biology 2009) * g:Profiler family of tools for functional assessment of gene groups, gene ID mappings, orthology and expression similarity searches. (NAR web server issue 2007) * KEGGanim - visualisation of high-throughput data on biological pathway charts (Bioinformatics, 2007) * GraphWeb - a tool for mining large biological networks (NAR Web server issue 2008) * FunGenES data atlas * More software tools | gene regulation, gene expression, data analysis, biological, data mining, systems biology, combinatorial pattern matching, software, biomedical research, stem cell, cancer |
has parent organization: University of Tartu; Tartu; Estonia is parent organization of: GraphWeb is parent organization of: g:Profiler |
nlx_149141 | http://biit.cs.ut.ee/about/main | SCR_005690 | BIIT - Bioinformatics Algorithmics Data Mining Group, BIIT Group - Institute of Computer Science | 2026-08-01 12:02:57 | 7 | |||||||
|
Principe Felipe Research Centre; Valencia; Spain Resource Report Resource Website 1+ mentions |
Principe Felipe Research Centre; Valencia; Spain (RRID:SCR_005691) | CIPF | institution | The Pr��ncipe Felipe Research Centre (CIPF), which was inaugurated by their Royal Highnesses the Prince and Princess of Asturias on 17th March 2005, is a centre dedicated to biomedical research, with the aim of taking on new challenges in the field of basic research and encouraging scientific works of excellence. The construction of the Centre was carried out thanks to the Regional Development Funds from the European Union, and from the Regional Government (Generalitat Valenciana) through its Ministry of Health. The current financing of the CIPF comes mainly from the investment made by the Generalitat Valenciana through the Ministry of Health, as well as the Regenerative Medicine Programme, the fruit of an agreement between the Institute of Health Carlos III and the Ministry of Health for basic and translation research in this field. The CIPF takes the research tradition from the then Valencian Cytological Research Institute and the Valencian Biomedical Research Foundation, with the aim of consolidating and expanding this research. Therefore the activity in the CIPF can be divided into three main strategic work areas: The Regenerative Medicine area focuses its research on cellular therapy and interdisciplinary research in human embryonic and adult stem cells, with the aim of regenerating damaged organs to improve human health. The Chemical and Quantative Biology area aims to understand, through the application of (bio) chemical, genetic, and bioinformatic methods, to understand the molecular mechanisms that control the biological processes and alterations that lead to pathological conditions. The Biomedicine area focuses on understanding the molecular bases of human pathologies that require new diagnostic and clinical procedures for their identification and treatment, pathologies such as cancer, neurological pathologies and rare illnesses. |
is parent organization of: QualiMap is parent organization of: VARIANT is parent organization of: CIPF Bioinformatics and Genomics Department is parent organization of: Blast2GO is parent organization of: Gene Expression Profile Analysis Suite |
nlx_149142, grid.418274.c, ISNI: 0000 0004 0399 600X | https://ror.org/05xr2yq54 | SCR_005691 | Centro de Investigaci��n Pr��ncipe Felipe, Centro de Investigacion Principe Felipe, Principe Felipe Research Center, Pr��ncipe Felipe Research Centre | 2026-08-01 12:02:58 | 2 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
