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 | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Read Codes Clinical Terms Version 3 Resource Report Resource Website 1+ mentions |
Read Codes Clinical Terms Version 3 (RRID:SCR_006055) | RCD | controlled vocabulary, data or information resource, ontology | Ontology of clinical terms Version 3 (CTV3) (Read Codes) (Q199): National Health Service National Coding and Classification Centre | umls | is listed by: BioPortal | nlx_157570 | SCR_006055 | SciCrunch Registry | Read Codes CTV3, Read Codes Clinical Terms Version 3 (CTV3) | 2026-10-24 12:45:36 | 1 | ||||||||
|
Genome Research Foundation Resource Report Resource Website 1+ mentions |
Genome Research Foundation (RRID:SCR_006056) | GRF, GF | institution | The Genome Foundation (AKA Genome Research Foundation) is a fully government accredited and registered non-profit research foundation. GRF aims to provide genome philosophy, science, and technology. GRF is a nonprofit publisher, and research and advocacy organization to promote completely free publication of knowledge with minimum restriction. Our core objectives are to: * Provide ways to overcome unnecessary barriers to immediate availability, access, and use of research * Pursue a publishing strategy that optimizes the openness, quality, and integrity of the publication process * Develop innovative approaches to the assessment, organization, and reuse of ideas and data Genome Foundation Research * Personalized Medicine * Personal Genomics * AngioGenesis drug * Bioinformatics * RNA expression * Protein structure * Human Genome Rights Projects at Genome Foundation * The Human Genome Rights * Human Genome Rights Petition * Free Personal Genome Sequencing Project * Free Personal Genome Sequencing Petition * Tiger Genome Initiative: Amur Tiger and big cat genomes * Whale Genome Project | bioinformatics, genomics, genome, genome sequencing, personalized medicine, personal genomics, angiogenesis, drug, rna expression, protein structure |
has parent organization: Korean Ministry of Education Science and Technology is parent organization of: MetaBase |
Content is available under BioLicense: the freest license. | grid.410888.d, nlx_151458, Wikidata: Q5533483 | https://ror.org/03khjyh83 | SCR_006056 | SciCrunch Registry | Genome Foundation | 2026-10-24 12:45:37 | 1 | ||||||
|
OCDM - Ontology of Craniofacial Development and Malformation Resource Report Resource Website 1+ mentions |
OCDM - Ontology of Craniofacial Development and Malformation (RRID:SCR_005999) | OCDM | controlled vocabulary, data or information resource, ontology | To satisfy the need for standardized terminologies several ontologies, we are developing the Ontology of Craniofacial Development and Malformation. When complete, this ontology will describe several realms of anatomy and development relevant to FaceBase, including: * Human craniofacial anatomy, including developmental progressions * Craniofacial malformations * Mouse craniofacial anatomy * Mappings between mouse and human anatomy These ontologies are currently undergoing active development. As a result, these files should be considered very preliminary. They may not work correctly, and contents will almost certainly undergo significant change. Five (sub) ontologies in this zip archive correspond to the categories described above. * OCDM - Ontology of Craniofacial Development and Malformation: currently imports the CHO, CMO, and the CHMMO. * CHO - Craniofacial Human Ontoloogy: normal adult human craniofacial anatomy derived from the FMA. * CMO - Craniofacial Mouse Ontology: normal adult mouse craniofacial anatomy * CHMMO - Craniofacial Human-Mouse Mapping Ontology: mappings of classes in the * CHO to related (homologous) structures in the CMO. CFMO - Craniofacial Malformation Ontology: abnormal human anatomy, includes the CHO All ontologies are in Protege Frames format (requires Protege 3.x). Ontologies refer to other ontologies via the Protege include mechanism. The CHMMO includes the CHO and the CMO. The OCDM (which is the umbrella ontology) includes all of the rest. Future releases will include translations to the OWL language. | craniofacial development, malformation, craniofacial malformation, anatomy | has parent organization: FaceBase | nlx_151377 | SCR_005999 | SciCrunch Registry | Ontology of Craniofacial Development Malformation (OCDM), Ontology of Craniofacial Development and Malformation (OCDM), OCDM - Ontology of Craniofacial Development Malformation | 2026-10-24 12:45:35 | 1 | ||||||||
|
University of Michigan Department of Neuroscience Graduate Program Resource Report Resource Website 1+ mentions |
University of Michigan Department of Neuroscience Graduate Program (RRID:SCR_006002) | U-M Neuroscience Graduate Program | data or information resource, department portal, graduate program resource, organization portal, portal | The Graduate Program at the University of Michigan was constituted in 1971, making it the longest-standing neuroscience graduate program in the United States. We are a collegial and interactive group of 75 students and 115 faculty that perform research across the breadth of the neuroscience field. Neuroscience graduate students on this campus form a cohesive group, which promotes interactions among the faculty, making the Graduate Program the nexus of the neuroscience community. Graduates receive a Ph.D. in Neuroscience, which provides tremendous flexibility in choosing one's career path. There are more than 100 alumni of our Program, and these graduates work in academic research, industrial research and development, academic medicine and biotechnology. Our program captures the excitement and interaction intrinsic to the field of neuroscience. Students can seek admission to the Neuroscience Program by three different routes direct application to the Neuroscience Program, application via the Program in Biomedical Sciences and application via the Medical Scientist Training Program. | has parent organization: University of Michigan; Ann Arbor; USA | nif-0000-02211 | SCR_006002 | SciCrunch Registry | University of Michigan Neuroscience Graduate Program | 2026-10-24 12:45:35 | 1 | |||||||||
|
Voronoia Resource Report Resource Website 10+ mentions |
Voronoia (RRID:SCR_006005) | data or information resource, database, software resource, software toolkit | Voronoia is a program suite to analyse and visualize the atomic packing of protein structures. It is based on the Voronoi Cell method and can be used to estimate the quality of a protein structure, e.g. by comparing the packing density of buried atoms to a reference data set or by highlighting protein regions with large packing defects. Voronoia is also targeted to detect locations of putative internal water or binding sites for ligands. Accordingly, Voronoia is beneficial for a broad range of protein structure approaches. It is applicable as a standalone version coming with a user friendly GUI or, alternatively, as a Pymol Plugin. Finally, Voronoia is also available as an easy to use webtool to process user defined PDB-files or to asses precalculated packing files from DOPP, the regularly updated Dictionary of Packing in Proteins. | has parent organization: University Medicine Berlin; Berlin; Germany | nif-0000-03641 | http://141.42.202.21/voronoia/index.php | SCR_006005 | SciCrunch Registry | Voronoia | 2026-10-24 12:45:36 | 10 | |||||||||
|
MetaQC Resource Report Resource Website 10+ mentions |
MetaQC (RRID:SCR_006000) | software resource | Software for quality control and diagnosis for microarray meta-analysis. Quantitative quality control measures include: (1) internal homogeneity of co-expression structure among studies (internal quality control; IQC); (2) external consistency of co-expression structure correlating with pathway database (external quality control; EQC); (3) accuracy of differentially expressed gene detection (accuracy quality control; AQCg) or pathway identification (AQCp); (4) consistency of differential expression ranking in genes (consistency quality control; CQCg) or pathways (CQCp). For each quality control index, the p-values from statistical hypothesis testing are minus log transformed and PCA biplots were applied to assist visualization and decision. Results generate systematic suggestions to exclude problematic studies in microarray meta-analysis and potentially can be extended to GWAS or other types of genomic meta-analysis. The identified problematic studies can be scrutinized to identify technical and biological causes (e.g. sample size, platform, tissue collection, preprocessing etc) of their bad quality or irreproducibility for final inclusion / exclusion decision. | standalone software, mac os x, unix/linux, windows, r, FASEB list |
is listed by: OMICtools has parent organization: CRAN |
PMID:22116060 | GNU General Public License, v2 | OMICS_04032 | https://github.com/donkang34/MetaQC | SCR_006000 | SciCrunch Registry | MetaQC: Objective Quality Control and Inclusion/Exclusion Criteria for Genomic Meta-Analysis, MetaQC: Objective Quality Control and Inclusion / Exclusion Criteria for Genomic Meta-Analysis | 2026-10-24 12:45:36 | 40 | ||||||
|
MIALAB - Medical Image Analysis Lab Resource Report Resource Website 10+ mentions |
MIALAB - Medical Image Analysis Lab (RRID:SCR_006089) | MIALAB | data or information resource, laboratory portal, organization portal, portal | MIALAB, headed by Dr. Vince Calhoun, focuses on developing and optimizing methods and software for quantitative analysis of structure and function in medical images with particular focus on the study of psychiatric illness. We work with many types of data, including functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), electroencephalography (EEG), structural imaging and genetic data. Much of our time is spent working on new methods for flexible analysis of brain imaging data. The use of data driven approaches is very useful for extracting potentially unpredictable patterns within these data. However such methods can be further improved by incorporating additional prior information as constraints, in order to benefit from what we know. To this end, we draw heavily from the areas of image processing, adaptive signal processing, estimation theory, neural networks, statistical signal processing, and pattern recognition. | software, data, data visualization, medical image, image, neuroimaging, fmri, diffusion tensor imaging, electroencephalography, structural imaging, genetic data, brain, image processing, adaptive signal processing, estimation theory, neural network, statistical signal processing, pattern recognition, mri |
has parent organization: Mind Research Network is parent organization of: Group ICA of fMRI Toolbox is parent organization of: Group ICA Of EEG Toolbox is parent organization of: MIALAB - Resting State Data |
Mental disease | nlx_151551 | SCR_006089 | SciCrunch Registry | Medical Image Analysis Lab, Medical Image Analysis Laboratory, MIA Laboratory, Medical Image Analysis (MIA) Laboratory | 2026-10-24 12:45:37 | 27 | |||||||
|
Scholarly Electronic Publishing Bibliography Resource Report Resource Website |
Scholarly Electronic Publishing Bibliography (RRID:SCR_005949) | SEPB | bibliography, book, data or information resource, narrative resource | Bibliography with over 3,800 selected English-language articles, books, and other printed and electronic sources that are useful in understanding scholarly electronic publishing efforts on the Internet. It covers a wide range of topics, such as digital copyright, digital libraries, digital preservation, digital repositories, e-books, e-journals, license agreements, metadata, and open access. It includes Scholarly Electronic Publishing Resources, a selective directory of related Web sites, and the Scholarly Electronic Publishing Weblog, a frequently updated list of new publications and other resources that may be of interest to bibliography readers. Most sources have been published from January 1, 1990 through October 30, 2011; however, a limited number of earlier key sources are also included. The bibliography includes links to freely available versions of included works. It does not include digital media works (such as MP3 files), editorials, e mail messages, letters to the editor, daily newspaper articles, presentation slides or transcripts, or weblog postings. An archive of prior versions of SEPB is available as a downloadable compressed file (.zip) that includes all versions of the bibliography. The Scholarly Electronic Publishing Bibliography 2010 is available as a paperback (466 pages, $18.95, ISBN-10: 1456453289 and ISBN-13: 9781456453282) and an open access PDF file. | digital copyright, digital library, digital preservation, digital repository, e-book, e-journal, license agreement, metadata, open access, digital publication, digital publication, scholarly, publishing | is listed by: FORCE11 | Creative Commons Attribution-NonCommercial License, v3 United States | nlx_151306 | SCR_005949 | SciCrunch Registry | 2026-10-24 12:45:35 | 0 | ||||||||
|
Automated Image Registration Resource Report Resource Website 10+ mentions |
Automated Image Registration (RRID:SCR_005944) | AIR | alignment software, data processing software, image analysis software, registration software, software application, software library, software resource, software toolkit | A tool for automated registration of 3D (and 2D) images within and across subjects and within and sometimes across imaging modalities. The AIR library can easily incorporate automated image registration into site specific programs adapted to your particular needs. | registration, alignment |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps |
GNU General Public License | nif-0000-00260 | http://www.nitrc.org/projects/air | SCR_005944 | SciCrunch Registry | 2026-10-24 12:45:35 | 29 | |||||||
|
Quantum Dot Corporation Resource Report Resource Website |
Quantum Dot Corporation (RRID:SCR_005941) | commercial organization |
THIS RESOURCE IS NO LONGER IN SERVICE. Documented September 15, 2017.\\\\\\ \\\\\\ An Antibody supplier |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_152443 | SCR_005941 | SciCrunch Registry | 2026-10-24 12:45:35 | 0 | |||||||||||
|
DiseaseMeth Resource Report Resource Website 10+ mentions |
DiseaseMeth (RRID:SCR_005942) | data or information resource, data repository, database, service resource, storage service resource | Human disease methylation database. DiseaseMeth version 2.0 is focused on aberrant methylomes of human diseases. Used for understanding of DNA methylation driven human diseases. | disease, methylation, dna methylation, genome, gene, epigenetics, epigenomics, methylome, bio.tools |
is listed by: 3DVC is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Harbin Medical University; Heilongjiang; China |
National Natural Science Foundation of China ; Natural Science Foundation of Heilongjiang Province ; Scientific Research Fund of Heilongjiang Provincial Education Department ; State Key Laboratory of Urban Water Resource and Environment |
PMID:22135302 PMID:27899673 |
Free,Freely available | OMICS_01838, nlx_151289, biotools:diseasemeth, SCR_017488 | http://bioinfo.hrbmu.edu.cn/diseasemeth, https://bio.tools/diseasemeth | http://202.97.205.78/diseasemeth/ | SCR_005942 | SciCrunch Registry | , Disease Meth-The Human Disease Methylation Database, DiseaseMeth database, DiseaseMeth version 2.0 | 2026-10-24 12:45:34 | 44 | ||||
|
DistiLD - Diseases and Traits in LD Resource Report Resource Website 1+ mentions |
DistiLD - Diseases and Traits in LD (RRID:SCR_005943) | DistiLD | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | The DistiLD database aims to increase the usage of existing genome-wide association studies (GWAS) results by making it easy to query and visualize disease-associated SNPs and genes in their chromosomal context. The database performs three important tasks: # published GWAS are collected from several sources and linked to standardized, international disease codes ICD10 codes) # data from the International HapMap Project are analyzed to define linkage disequilibrium (LD) blocks onto which SNPs and genes are mapped # the web interface makes it easy to query and visualize disease-associated SNPs and genes within LD blocks. Users can query the database by diseases, SNPs or genes. No matter which of the three query modes was used, an intermediate page will be shown listing all the studies that matched the search with a link to the corresponding publication. The user can select either all studies related to a certain disease or one specific study for which to view the related LD blocks. The DistiLD resource integrates information on: * Associations between Single Nucleotide Polymorphisms (SNPs) and diseases from genome-wide association studies (GWAS) * Links between SNPs and genes based on linkage disequilibrium (LD) data from HapMap For convenience, we provide the complete datasets as two (zipped) tab-delimited files. The first file contains GWAS results mapped to LD blocks. The second file contains all SNPs and genes assigned to each LD block. | disease, mutation, gene, linkage disequilibrium, trait, genome-wide association study, single nucleotide polymorphism, chromosomal region, chromosome, linkage disequilibrium block, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: International HapMap Project has parent organization: University of Copenhagen; Copenhagen; Denmark |
Novo Nordisk Foundation Center for Protein Research | PMID:22058129 | Files are published under the Creative Commons Attribution v3 License | biotools:distild, nlx_151291 | https://bio.tools/distild | SCR_005943 | SciCrunch Registry | DistiLD - Diseases & Traits in LD, Diseases and Traits In Linkage Disequilibrium blocks, Diseases and Traits In Linkage Disequilibrium, DistiLD Database, DistiLD - Diseases Traits in LD | 2026-10-24 12:45:35 | 5 | ||||
|
ProQuest Dissertation Publishing Resource Report Resource Website |
ProQuest Dissertation Publishing (RRID:SCR_006075) | ProQuest Dissertation Publishing | service resource | ProQuest Dissertation Publishing has been publishing dissertations and theses since 1938. In that time, we have published over 2 million graduate works from graduate schools around the world. We have over 700 active university publishing partners, and publish more than 70,000 new graduate works each year. In addition to publishing, we provide access to graduate works for thousands of libraries around the world. Based on your interests, you should find the information you need below: * Authors - Information for authors on why and how to publish their graduate work with us. * Grad Schools & Libraries - Learn about the benefits of publishing, and why to submit online. * Researchers - We can help you find the dissertation or thesis you need. | dissertation, publishing, thesis, graduate, library, research, author |
is related to: ProQuest Dissertations and Theses Global has parent organization: ProQuest |
nlx_151558 | SCR_006075 | SciCrunch Registry | 2026-10-24 12:45:37 | 0 | |||||||||
|
PartiGene ARTHROPODA Database Resource Report Resource Website 1+ mentions |
PartiGene ARTHROPODA Database (RRID:SCR_006071) | ARTHROPODA PartiGene Databases | data or information resource, database, organism-related portal, portal, topical portal | As part of our effort in PhyloGenomics, we have developed the PartiGene ARTHROPODA Database. In these databases, we have analyzed the EST datasets for sixty different arthropod species. To aid searching we have split the interface between four class-based views: Chelicerata, Hexapoda, Crustacea, Myriapoda. Amongst other analyses, we have included Alfried Vogler's lab's PartiGene analysis of ~30 different arthropod species ESTs. A separate access point for that dataset is also available. | expressed sequence tag, cluster, arthropod | has parent organization: nematodes.org | nlx_151477 | SCR_006071 | SciCrunch Registry | 2026-10-24 12:45:36 | 1 | |||||||||
|
Newtomics Resource Report Resource Website 1+ mentions |
Newtomics (RRID:SCR_006073) | Newt-Omics | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Newt-omics is a database, which enables researchers to locate, retrieve and store data sets dedicated to the molecular characterization of newts. Newt-omics is a transcript-centered database, based on an Expressed Sequence Tag (EST) data set from the newt, covering ~50,000 Sanger sequenced transcripts and a set of high-density microarray data, generated from regenerating hearts. Newt-omics also contains a large set of peptides identified by mass spectrometry, which was used to validate 13,810 ESTs as true protein coding. Newt-omics is open to implement additional high-throughput data sets without changing the database structure. Via a user-friendly interface Newt-omics allows access to a huge set of molecular data without the need for prior bioinformatical expertise. The newt Notopthalmus viridescens is the master of regeneration. This organism is known for more than 200 years for its exceptional regenerative capabilities. Newts can completely replace lost appendages like limb and tail, lens and retina and parts of the central nervous system. Moreover, after cardiac injury newts can rebuild the functional myocardium with no scar formation. To date only very limited information from public databases is available. Newt-Omics aims to provide a comprehensive platform of expressed genes during tissue regeneration, including extensive annotations, expression data and experimentally verified peptide sequences with yet no homology to other publicly available gene sequences. The goal is to obtain a detailed understanding of the molecular processes underlying tissue regeneration in the newt, that may lead to the development of approaches, efficiently stimulating regenerative pathways in mammalians. * Number of contigs: 26594 * Number of est in contigs: 48537 * Number of transcripts with verified peptide: 5291 * Number of peptides: 15169 | gene expression, regeneration, annotation, expression data, peptide sequence, gene sequence, tissue regeneration, newt, pathway, mammal, blast, contigs, peptide, tissue, microarray, heart, lens, dorsal, ventral, transcript, functional annotation, molecular process, model organism, expressed sequence tag, sequence, mass spectrometry, protein, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Max Planck Institute for Heart and Lung Research; Bad Nauheim; Germany |
Hessian Ministry for Science and Art | PMID:22039101 | To be used only for research and educational purposes. Any reproduction or use for commercial purpose is prohibited without the prior express written permission of the MPI for heart and lung research. | nlx_151479, biotools:newt-omics | https://bio.tools/newt-omics | SCR_006073 | SciCrunch Registry | newt db, Newt database | 2026-10-24 12:45:37 | 1 | ||||
|
NEMBASE Resource Report Resource Website 10+ mentions |
NEMBASE (RRID:SCR_006070) | NEMBASE | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | NEMBASE is a comprehensive Nematode Transcriptome Database including 63 nematode species, over 600,000 ESTs and over 250,000 proteins. Nematode parasites are of major importance in human health and agriculture, and free-living species deliver essential ecosystem services. The genomics revolution has resulted in the production of many datasets of expressed sequence tags (ESTs) from a phylogenetically wide range of nematode species, but these are not easily compared. NEMBASE4 presents a single portal into extensively functionally annotated, EST-derived transcriptomes from over 60 species of nematodes, including plant and animal parasites and free-living taxa. Using the PartiGene suite of tools, we have assembled the publicly available ESTs for each species into a high-quality set of putative transcripts. These transcripts have been translated to produce a protein sequence resource and each is annotated with functional information derived from comparison with well-studied nematode species such as Caenorhabditis elegans and other non-nematode resources. By cross-comparing the sequences within NEMBASE4, we have also generated a protein family assignment for each translation. The data are presented in an openly accessible, interactive database. An example of the utility of NEMBASE4 is that it can examine the uniqueness of the transcriptomes of major clades of parasitic nematodes, identifying lineage-restricted genes that may underpin particular parasitic phenotypes, possible viral pathogens of nematodes, and nematode-unique protein families that may be developed as drug targets. | nematode, transcriptome, expressed sequence tag, protein, cluster, library, sequence, peptide prediction, functional annotation, gene family, gene, annotation, pathway, genome, partigene, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: nematodes.org |
Wellcome Trust ; Hospital for Sick Children ; BBSRC ; MRC ; NERC |
PMID:21550347 PMID:14681449 |
Public | nlx_151476, biotools:nembase4 | https://bio.tools/nembase4 | SCR_006070 | SciCrunch Registry | NEMBASE4, NEMBASE4 - Nematode Transcriptome Analyses | 2026-10-24 12:45:37 | 25 | ||||
|
W3C Provenance Working Group Resource Report Resource Website |
W3C Provenance Working Group (RRID:SCR_005938) | Provenance Working Group | data or information resource, knowledge environment, narrative resource, standard specification | Working group to support the widespread publication and use of provenance information of Web documents, data, and resources. The Working Group will publish W3C Recommendations that define a language for exchanging provenance information among applications. The Working Group is based on an extensive review and roadmap developed by a prior incubator group. Specifications: * PROV Primer * PROV Ontology * PROV Data Model * PROV Notation * PROV Constraints * PROV Access and Query | web, exchange format, provenance, publication, working group |
is listed by: FORCE11 is related to: W3C Provenance Incubator Group Wiki has parent organization: University of Southampton; Southampton; United Kingdom has parent organization: VU University; Amsterdam; Netherlands |
nlx_151285 | SCR_005938 | SciCrunch Registry | 2026-10-24 12:45:35 | 0 | |||||||||
|
Workflow4Ever Resource Report Resource Website 1+ mentions |
Workflow4Ever (RRID:SCR_005939) | Wf4Ever | knowledge environment | Project to addresses challenges associated with the preservation of scientific experiments in data-intensive science, including: * The definition of models to describe, in a standard way, scientific experiments by means of workflow-centric Research Objects, which comprise scientific workflows, the provenance of their executions, interconnections between workflows and related resources (e.g., datasets, publications, etc.), and social aspects related to such scientific experiments. * The collection of best practices for the creation and management of Research Objects. * The analysis and management of decay in scientific workflows. To address these challenges they are creating an architecture and tooling for the access, manipulation, sharing, reuse and evolution of Research Objects in a range of disciplines. This will result into the next generation RO-enabled myExperiment. | preservation, workflow, provenance, archive, research object, workflow model, management, experimental method |
is listed by: FORCE11 is related to: myExperiment is related to: RightField |
European Union | nlx_151286 | SCR_005939 | SciCrunch Registry | 2026-10-24 12:45:34 | 1 | ||||||||
|
University of North Texas; Texas; USA Resource Report Resource Website |
University of North Texas; Texas; USA (RRID:SCR_005935) | UNT | university | Public research university in Denton, Texas. | is related to: Alzheimers Disease Genetics Consortium | grid.266869.5, nlx_157964, Wikidata:Q860527, ISNI:0000 0001 1008 957X, Crossref funder ID:100008973 | https://ror.org/00v97ad02 | SCR_005935 | SciCrunch Registry | University of North Texas | 2026-10-24 12:45:35 | 0 | ||||||||
|
ReproCELL Incorporated Resource Report Resource Website |
ReproCELL Incorporated (RRID:SCR_005973) | commercial organization | An Antibody supplier | nlx_152450 | SCR_005973 | SciCrunch Registry | 2026-10-24 12:45:35 | 0 |
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
