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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Biomedical Resource Ontology Resource Report Resource Website 1+ mentions |
Biomedical Resource Ontology (RRID:SCR_004443) | BRO | controlled vocabulary, data or information resource, ontology | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 27,2023. A controlled terminology of resources, which is used to improve the sensitivity and specificity of web searches. It includes ''resource_type'', ''area of research'', and ''activity''. It is under development by a number of NIH-funded researchers who have a combined interest in classification of biomedical resources. The biositemaps site is no longer available but the biomedical resource ontology is still available via bioportal Biomedical Resource Ontology (BRO). | sitemap, resource type, owl, resource |
is listed by: BioPortal is listed by: Biositemaps is related to: Biositemaps is related to: iBIOFind is related to: bioDBcore has parent organization: National Centers for Biomedical Computing |
NIH | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_143813 | http://bioportal.bioontology.org/ontologies/1104, https://bioportal.bioontology.org/ontologies/BRO | SCR_004443 | 2026-09-05 06:29:57 | 4 | ||||||
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SoyBase Resource Report Resource Website 500+ mentions |
SoyBase (RRID:SCR_005096) | SoyBase | analysis service resource, controlled vocabulary, data analysis service, data or information resource, data repository, database, ontology, production service resource, service resource, storage service resource | Professionally curated repository for genetics, genomics and related data resources for soybean that contains the most current genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. SoyBase includes annotated Williams 82 genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. The repository maintains controlled vocabularies for soybean growth, development, and traits that are linked to more general plant ontologies. Contributions to SoyBase or the Breeder''s Toolbox are welcome. | soybean, gene, genetic map, genome, data set, trait, phenotype, molecular biology, sequence, chromosome, quantitative trait locus, php, genetics, genomics, legume, bio.tools, FASEB list |
is listed by: 3DVC is listed by: re3data.org is listed by: Debian is listed by: bio.tools has parent organization: Iowa State University; Iowa; USA is parent organization of: Soybean Ontologies is parent organization of: Soy Ontology |
USDA Agricultural Research Service | PMID:20008513 | The community can contribute to this resource | nif-0000-03483, r3d100010846, biotools:soybase | https://bio.tools/soybase, https://doi.org/10.17616/R3S032 | SCR_005096 | SoyBase and the Soybean Breeder''s Toolbox, SoyBase and the Soybean Breeder''s Toolbox: Integrating Genetics and Molecular Biology for Soybean Researchers | 2026-09-05 06:29:58 | 830 | ||||
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Enzyme Nomenclature Resource Report Resource Website 50+ mentions |
Enzyme Nomenclature (RRID:SCR_006583) | Enzyme Nomenclature | data or information resource, data repository, data set, database, international standard specification, narrative resource, service resource, standard specification, storage service resource | Recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology on the nomenclature and classification of enzymes by the reactions they catalyze. Also included are links to individual documents and advice is provided on how to suggest new enzymes for listing, or correction of existing entries. The common names of all listed enzymes are listed, along with their EC numbers. Where an enzyme has been deleted or transferred to another EC number, this information is also indicated. Each list is linked to either separate entries for each entry or to files with up to 50 enzymes in each file. A start has been made in showing the pathways in which enzymes participate. For other enzymes a glossary entry has been added which may be just a systematic name or a link to a graphic representation. The glossary from Enzyme Nomenclature, 1992 may also be consulted. This has been updated with subsequent glossary entries. Each enzyme entry has links to other databases. Enzyme Subclasses provide links to a list of sub-subclasses which in turn list the enzymes linked to separate files for each enzyme, or to a list as part of a file with up to 50 enzymes per file. | enzyme category, enzyme classification, enzyme nomenclature, enzyme reaction category, enzyme, classification, nomenclature, pathway, gold standard, FASEB list |
is related to: ENZYME has parent organization: Queen Mary University of London; London; United Kingdom |
nif-0000-02804 | SCR_006583 | 2026-09-05 06:30:00 | 54 | |||||||||
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SNPeffect Resource Report Resource Website 50+ mentions |
SNPeffect (RRID:SCR_005091) | SNPeffect | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A database for phenotyping human single nucleotide polymorphisms (SNPs)that primarily focuses on the molecular characterization and annotation of disease and polymorphism variants in the human proteome. They provide a detailed variant analysis using their tools such as: * TANGO to predict aggregation prone regions * WALTZ to predict amylogenic regions * LIMBO to predict hsp70 chaperone binding sites * FoldX to analyse the effect on structure stability Further, SNPeffect holds per-variant annotations on functional sites, structural features and post-translational modification. The meta-analysis tool enables scientists to carry out a large scale mining of SNPeffect data and visualize the results in a graph. It is now possible to submit custom single protein variants for a detailed phenotypic analysis., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | single nucleotide polymorphism, phenotyping, mutation, protein-coding variant, molecule, structure, phenotype, non-synonymous coding snp, allelic variation, gene, protein stability, functional site, protein phosphorylation, glycosylation, subcellular localization, protein turnover, protein aggregation, amyloidosis, chaperone interaction, protein variant, FASEB list |
is listed by: OMICtools has parent organization: Catholic University of Leuven; Flemish Brabant; Belgium |
PMID:22075996 PMID:18086700 PMID:16809394 PMID:15608254 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00187, nif-0000-03480 | http://snpeffect.switchlab.org/ | SCR_005091 | SNPeffect 4 Phenotyping Human Mutations | 2026-09-05 06:29:58 | 62 | |||||
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Generic GO Term Mapper Resource Report Resource Website 10+ mentions |
Generic GO Term Mapper (RRID:SCR_005806) | GOTermMapper, GO Term Mapper | analysis service resource, data analysis service, data processing software, production service resource, service resource, software application, software resource | The Generic GO Term Mapper finds the GO terms shared among a list of genes from your organism of choice within a slim ontology, allowing them to be binned into broader categories. The user may optionally provide a custom gene association file or slim ontology, or a custom list of slim terms. The implementation of this Generic GO Term Mapper uses map2slim.pl script written by Chris Mungall at Berkeley Drosophila Genome Project, and some of the modules included in the GO-TermFinder distribution written by Gavin Sherlock and Shuai Weng at Stanford University, made publicly available through the GMOD project. GO Term Mapper serves a different function than the GO Term Finder. GO Term Mapper simply bins the submitted gene list to a static set of ancestor GO terms. In contrast, GO Term Finder finds the GO terms significantly enriched in a submitted list of genes. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene ontology, gene, gene association, slim ontology, slimmer-type tool, term enrichment, gene annotation, genomics, ontology, process, function, component, bio.tools |
is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Generic Model Organism Database Project has parent organization: Princeton University; New Jersey; USA |
Free for academic use | nlx_149294, biotools:go_term_mapper | https://bio.tools/go_term_mapper | SCR_005806 | Generic Gene Ontology Term Mapper, Generic Gene Ontology (GO) Term Mapper | 2026-09-05 06:29:59 | 45 | ||||||
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hmChIP Resource Report Resource Website 1+ mentions |
hmChIP (RRID:SCR_005407) | hmChIP | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A database of genome-wide chromatin immunoprecipitation (ChIP) data in human and mouse. Currently, the database contains >2000 samples from >500 ChIP-seq and ChIP-chip experiments, representing a total of >170 proteins and >10,000,000 protein-DNA interactions (March 2014). A web server provides an interface for database query. Protein-DNA binding intensities can be retrieved from individual samples for user-provided genomic regions. The retrieved intensities can be used to cluster samples and genomic regions to facilitate exploration of combinatorial patterns, cell type dependencies, and cross-sample variability of protein-DNA interactions. | chromatin immunoprecipitation, chip-seq, chip-chip, protein, protein-dna interaction, binding intensity |
is listed by: OMICtools has parent organization: Johns Hopkins Bloomberg School of Public Health; Maryland; USA |
PMID:21450710 | The community can contribute to this resource | OMICS_00536 | SCR_005407 | 2026-09-05 06:29:58 | 5 | |||||||
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ConnectomeDB Resource Report Resource Website 50+ mentions |
ConnectomeDB (RRID:SCR_004830) | ConnectomeDB | data or information resource, data repository, database, image collection, image repository, service resource, storage service resource | Data management platform that houses all data generated by the Human Connectome Project - image data, clinical evaluations, behavioral data and more. ConnectomeDB stores raw image data, as well as results of analysis and processing pipelines. Using the ConnectomeDB infrastructure, research centers will be also able to manage Connectome-like projects, including data upload and entry, quality control, processing pipelines, and data distribution. ConnectomeDB is designed to be a data-mining tool, that allows users to generate and test hypotheses based on groups of subjects. Using the ConnectomeDB interface, users can easily search, browse and filter large amounts of subject data, and download necessary files for many kinds of analysis. ConnectomeDB is designed to work seamlessly with Connectome Workbench, an interactive, multidimensional visualization platform designed specifically for handling connectivity data. De-identified data within ConnectomeDB is publicly accessible. Access to additional data may be available to qualified research investigators. ConnectomeDB is being hosted on a BlueArc storage platform housed at Washington University through the year 2020. This data platform is based on XNAT, an open-source image informatics software toolkit developed by the NRG at Washington University. ConnectomeDB itself is fully open source. | brain, connectivity, human, adult human, evaluation, clinical, behavior, data set, diffusion imaging, resting-state fmri, task-evoked fmri, t1-weighted mri, t2-weighted mri, structural mapping, myelin mapping, magnetoencephalography, electroencephalography, fmri, twin |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: XNAT - The Extensible Neuroimaging Archive Toolkit has parent organization: Washington University in St. Louis; Missouri; USA works with: Connectome Workbench |
Healthy, Twin, Non-twin sibling | NIH Blueprint for Neuroscience Research ; Washington University in St. Louis; Missouri; USA ; McDonnell Center for Systems Neuroscience ; NIMH 1U54MH091657 |
PMID:22366334 | Account required, Open unspecified license, Acknowledgement required, See Data Use Terms, The community can contribute to this resource | nlx_143923 | SCR_004830 | 2026-09-05 06:29:57 | 63 | |||||
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ChEA Resource Report Resource Website 100+ mentions |
ChEA (RRID:SCR_005403) | ChEA | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource, software application, software resource | Data analysis service for gene-list enrichment analysis against a manual database. It allows users to input lists of mammalian gene symbols for which the program computes over-representation of transcription factor targets from the ChIP-X database. The database integrates interaction data from ChIP-chip, ChIP-seq, ChIP-PET and DamID studies and contains 189,933 interactions, manually extracted from 87 publications, describing the binding of 92 transcription factors to 31,932 target genes. | chip, transcription factor, interaction, mrna expression, gene, target gene, command-line, chip-chip, chip-seq |
is listed by: OMICtools has parent organization: Icahn School of Medicine at Mount Sinai; New York; USA |
PMID:20709693 | OMICS_00526 | SCR_005403 | ChIP Enrichment Analysis | 2026-09-05 06:29:58 | 280 | |||||||
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Brain-Art Competition Resource Report Resource Website |
Brain-Art Competition (RRID:SCR_005360) | Brain-Art Competition | data or information resource, image, portal, topical portal | An annual Brain-Art Competition to recognize the beauty and creativity of artistic renderings emerging from the neuroimaging community. Submission deadline: June 1st, 2012. Awards will be announced on June 11th during the OHBM conference in Beijing. (You need not be present to win) Countless hours are devoted to creation of informative visualizations for communicating neuroscientific findings. This competition once again aims to recognize the artistic creativity of our community that often goes underappreciated in the publication process. We are inviting researchers to submit their favorite unpublished works for entry. Both team and single-person entries are welcomed. The competition will have five award categories: # Best Representation of the Human Connectome # Best Abstract Brain Illustration # Best Educational Brain Illustration # Best Humorous Brain Illustration # Best Video Illustration of the Brain Submissions will be evaluated based on their aesthetic merit | neuroimaging, competition, data set, illustration, brain, art | has parent organization: Neuro Bureau | nlx_144427 | SCR_005360 | Neuro Bureau Brain-Art Competition | 2026-09-05 06:29:58 | 0 | ||||||||
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Hadoop-BAM Resource Report Resource Website 1+ mentions |
Hadoop-BAM (RRID:SCR_005516) | Hadoop-BAM | software library, software resource, software toolkit | A Java library for the manipulation of files in common bioinformatics formats using the Hadoop MapReduce framework with the Picard SAM JDK, and command line tools similar to SAMtools. The file formats currently supported are BAM, SAM, FASTQ, FASTA, QSEQ, BCF, and VCF. | mapreduce/hadoop, java, next generation sequencing data, cloud |
is listed by: OMICtools has parent organization: SourceForge |
PMID:22302568 | MIT License | OMICS_01051 | SCR_005516 | 2026-09-05 06:29:58 | 7 | |||||||
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SOURCE Resource Report Resource Website 50+ mentions |
SOURCE (RRID:SCR_005799) | SOURCE | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | SOURCE compiles information from several publicly accessible databases, including UniGene, dbEST, UniProt Knowledgebase, GeneMap99, RHdb, GeneCards and LocusLink. GO terms associated with LocusLink entries appear in SOURCE. The mission of SOURCE is to provide a unique scientific resource that pools publicly available data commonly sought after for any clone, GenBank accession number, or gene. SOURCE is specifically designed to facilitate the analysis of large sets of data that biologists can now produce using genome-scale experimental approaches Platform: Online tool | genomic, functional annotation, ontology, gene expression, gene, genome, statistical analysis, bio.tools, FASEB list |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: SMD |
NIGMS ; NCI CA85129-04; NIGMS GM07365 |
PMID:12519986 | Restricted | biotools:source, nlx_149287 | https://login.stanford.edu/idp/profile/SAML2/Redirect/SSO?execution=e1s1, https://bio.tools/source | SCR_005799 | 2026-09-05 06:29:59 | 69 | |||||
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Gene Class Expression Resource Report Resource Website 1+ mentions |
Gene Class Expression (RRID:SCR_005679) | Gene Class | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 29, 2012. Gene Class Expression allows functional annotation of SAGE data using the Gene Ontology database. This tool performs searches in the GO database for each SAGE tag, making associations in the selected GO category for a level selected in the hierarchy. This system provides user-friendly data navigation and visualization for mapping SAGE data onto the gene ontology structure. This tool also provides graphical visualization of the percentage of SAGE tags in each GO category, along with confidence intervals and hypothesis testing. Platform: Online tool | serial analysis of gene expression, functional annotation, annotation, gene expression, tag classification, gene ontology, gene, ontology, browser, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Sao Paulo; Sao Paulo; Brazil |
Center for Cell-Based Therapy/FAPESP ; CNPq |
PMID:16755502 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149119 | http://gdm.fmrp.usp.br/cgi-bin/gc/upload/upload.pl | SCR_005679 | GC Browser, Gene Classification Browser Tool, Gene Class expression: analysis tool of Gene Ontology terms with gene expression data | 2026-09-05 06:29:59 | 1 | ||||
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Science Careers Resource Report Resource Website |
Science Careers (RRID:SCR_005156) | Science Careers | data or information resource, job resource, narrative resource | The journal Science is one of the most prestigious and widely cited scientific journals in the world. Founded by Thomas Edison in 1880, Science has been publishing breaking news and seminal research for more than 125 years. Science Careers is the careers component of Science that scientists rely on for career information and job postings. Science Careers offers a wide variety of content designed to assist scientists of all disciplines, backgrounds and experience levels navigate their career path. This includes over 3,000 job listings that are updated daily, thousands of career advice articles written by the Science Careers editorial staff, graduate program information, meetings and event information, funding opportunities on GrantsNet, and a Career Forum where scientists can join a community of experts and peers engaging in real time discussions around career issues. For employers, Science Careers provides multiple platforms for recruiting scientists and extending their employment brand including job postings, banner advertisements, email and newsletters and sponsorships. | job seeker, employer, career, employment, job posting, resume, database, community building portal, data storage repository, postdoctoral program resource |
is used by: NIF Data Federation is related to: Integrated Jobs |
The materials on this Website are protected by United States copyright law except that no copyright is claimed in any work of the US government. For personal, Noncommercial use only. Except where otherwise permitted, Any further reproduction, Distribution, Transmission, Display, Publication, Or broadcast requires the prior written permission of The American Association for the Advancement of Science. | nlx_144181 | SCR_005156 | 2026-09-05 06:29:58 | 0 | ||||||||
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JCVI CMR Resource Report Resource Website 10+ mentions |
JCVI CMR (RRID:SCR_005398) | JCVI_CMR, JCVI CMR, TIGR_CMR, TIGR CMR | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Database of all of the publicly available, complete prokaryotic genomes. In addition to having all of the organisms on a single website, common data types across all genomes in the CMR make searches more meaningful, and cross genome analysis highlight differences and similarities between the genomes. CMR offers a wide variety of tools and resources, all of which are available off of our menu bar at the top of each page. Below is an explanation and link for each of these menu options. * Genome Tools: Find organism lists as well as summary information and analyses for selected genomes. * Searches: Search CMR for genes, genomes, sequence regions, and evidence. * Comparative Tools: Compare multiple genomes based on a variety of criteria, including sequence homology and gene attributes. SNP data is also found under this menu. * Lists: Select and download gene, evidence, and genomic element lists. * Downloads: Download gene sequences or attributes for CMR organisms, or go to our FTP site. * Carts: Select genome preferences from our Genome Cart or download your Gene Cart genes. The Omniome is the relational database underlying the CMR and it holds all of the annotation for each of the CMR genomes, including DNA sequences, proteins, RNA genes and many other types of features. Associated with each of these DNA features in the Omniome are the feature coordinates, nucleotide and protein sequences (where appropriate), and the DNA molecule and organism with which the feature is associated. Also available are evidence types associated with annotation such as HMMs, BLAST, InterPro, COG, and Prosite, as well as individual gene attributes. In addition, the database stores identifiers from other centers such as GenBank and SwissProt, as well as manually curated information on each genome or each DNA molecule including website links. Also stored in the Omniome are precomputed homology data, called All vs All searches, used throughout the CMR for comparative analysis. | microbial, prokaryotic, genome, annotation, dna sequence, protein, rna gene, blast, FASEB list |
is used by: NIF Data Federation is related to: AmiGO has parent organization: J. Craig Venter Institute is parent organization of: JCVI GenProp |
NSF ; NIAID ; DOE |
Free | nif-0000-03555 | SCR_005398 | JCVI Comprehensive Microbial Resource, J. Craig Venter Institute Comprehensive Microbial Resource, CMR, Comprehensive Microbial Resource | 2026-09-05 06:29:58 | 37 | ||||||
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Regulation of Gene Expression Ontolology Resource Report Resource Website |
Regulation of Gene Expression Ontolology (RRID:SCR_006124) | REXO | controlled vocabulary, data or information resource, ontology | An application ontology for the domain of gene expression regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, KEGG and orthology relations. | obo | is listed by: BioPortal | nlx_157572 | SCR_006124 | 2026-09-05 06:29:59 | 0 | |||||||||
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Reproductive Trait and Phenotype Ontology Resource Report Resource Website |
Reproductive Trait and Phenotype Ontology (RRID:SCR_006245) | REPO | controlled vocabulary, data or information resource, ontology | Ontology for livestock reproductive traits and phenotypes | owl | is listed by: BioPortal | nlx_157574 | SCR_006245 | 2026-09-05 06:29:59 | 0 | |||||||||
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ResearchGate: Research Conferences Resource Report Resource Website |
ResearchGate: Research Conferences (RRID:SCR_006487) | ResearchGate: Research Conferences | community building portal, data or information resource, meeting resource, portal, training resource | Listing of scientific conferences from across the globe and provides you with the tools to get the most out of them: post, follow, discuss - all for free. | conference, research | has parent organization: ResearchGate | Free, The community can contribute to this resource | nlx_143850 | SCR_006487 | 2026-09-05 06:30:00 | 0 | ||||||||
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SEECER Resource Report Resource Website 10+ mentions |
SEECER (RRID:SCR_005274) | SEECER | algorithm resource, data analysis software, data processing software, sequence analysis software, software application, software resource | Algorithm for sequencing error correction of RNA-seq data sets. SEECER removes mismatch and indel errors from the raw reads and improves downstream analysis of the data. | bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Carnegie Mellon University; Pennsylvania; USA |
PMID:23558750 | Free, Available for download | OMICS_01236, biotools:seecer | https://bio.tools/seecer | SCR_005274 | SEECER - SEquencing Error CorrEction for Rna reads | 2026-09-05 06:29:58 | 12 | |||||
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Unified Medical Language System Resource Report Resource Website 10+ mentions |
Unified Medical Language System (RRID:SCR_006363) | UMLS | data access protocol, data or information resource, database, international standard specification, narrative resource, software resource, standard specification, web service | Database of key terminology, classification and coding standards, and associated resources to promote creation of more effective and interoperable biomedical information systems and services, including electronic health records. This set of files and software brings together many health and biomedical vocabularies and standards to enable interoperability between computer systems. Users can use the UMLS to enhance or develop applications, such as electronic health records, classification tools, dictionaries and language translators. The UMLS has three tools, which we call the Knowledge Sources: * Metathesaurus: Terms and codes from many vocabularies, including CPT, ICD-10-CM, LOINC, MeSH, RxNorm, and SNOMED CT * Semantic Network: Broad categories (semantic types) and their relationships (semantic relations) * SPECIALIST Lexicon and Lexical Tools: Natural language processing tools We use the Semantic Network and Lexical Tools to produce the Metathesaurus. Metathesaurus production involves: * Processing the terms and codes using the Lexical Tools * Grouping synonymous terms into concepts * Categorizing concepts by semantic types from the Semantic Network * Incorporating relationships and attributes provided by vocabularies * Releasing the data in a common format Although we integrate these tools for Metathesaurus production, you can access them separately or in any combination according to your needs. The UMLS Terminology Services (UTS) provides three ways to access the UMLS: Web Browsers, Local Installation, and Web Services APIs. | interoperability, electronic health record, classification tool, dictionary, language translator, classification, terminology, semantic, metathesaurus, vocabulary, thesaurus, natural language processing |
is used by: DisGeNET is related to: MeSH is related to: ConceptWiki has parent organization: National Library of Medicine |
NLM | License required and only issued to individuals, Not to groups or organizations - no charge for licensing the UMLS from NLM. | nlx_152104 | SCR_006363 | Unified Medical Language System (UMLS) | 2026-09-05 06:29:59 | 47 | ||||||
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NeuroNEXT Resource Report Resource Website 1+ mentions |
NeuroNEXT (RRID:SCR_006760) | NeuroNEXT | data or information resource, disease-related portal, knowledge environment, portal, research forum portal, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 26,2022. A unique clinical trial network open to studies of more than 400 neurological diseases, allowing investigators to more efficiently pursue new therapies based on scientific opportunity. The network has a centralized IRB serving 25 sites, which will allow trials to move faster, without the need to coordinate IRBs at each individual site. It is not necessary to be part of the NeuroNEXT infrastructure to propose and conduct a study within the network. The Network for Excellence in Neuroscience Clinical Trials, or NeuroNEXT, was created to conduct studies of treatments for neurological diseases through partnerships with academia, private foundations, and industry. The network is designed to expand the National Institute of Neurological Disorders and Stroke''s (NINDS) capability to test promising new therapies, increase the efficiency of clinical trials before embarking on larger studies, and respond quickly as new opportunities arise to test promising treatments for people with neurological disorders. The NeuroNEXT program aims to: * Provide a robust, standardized, and accessible infrastructure to facilitate rapid development and implementation of protocols in neurological disorders affecting adult and/or pediatric populations. The network includes multiple Clinical Sites, one Clinical Coordinating Center (CCC) and one Data Coordinating Center (DCC). * Support scientifically sound, possibly biomarker-informed, Phase II clinical trials that provide data for clear go/no-go decisions. * Energize and mobilize federal, industry, foundations and patient advocacy partners by leveraging existing relationships between NINDS and NeuroNEXT to organize high impact Phase II clinical trials for neurological disorders. * Expand the pool of experienced clinical investigators and research staff who are prepared to be leaders of multicenter clinical research trials. * Working with NeuroNEXT is a cooperative venture between NINDS, the NeuroNEXT network and the applicant. | clinical trial, adult, pediatric, child, network |
has parent organization: University of Iowa; Iowa; USA has parent organization: National Institute of Neurological Disorders and Stroke |
Neurological disorder | NINDS | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151750 | SCR_006760 | NeuroNEXT - Network for Excellence in Neuroscience Clinical Trials | 2026-09-05 06:30:00 | 8 |
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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