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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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ConnectomeDB Resource Report Resource Website 50+ mentions |
ConnectomeDB (RRID:SCR_004830) | ConnectomeDB | data or information resource, image collection, database, service resource, data repository, storage service resource, image repository | 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 | 2026-08-13 09:27:16 | 63 | |||||
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ChEA Resource Report Resource Website 100+ mentions |
ChEA (RRID:SCR_005403) | ChEA | data or information resource, software application, analysis service resource, production service resource, database, service resource, data analysis service, 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 | 2026-08-13 09:27:28 | 280 | |||||||
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Hadoop-BAM Resource Report Resource Website 1+ mentions |
Hadoop-BAM (RRID:SCR_005516) | Hadoop-BAM | software toolkit, software resource, software library | 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 | 2026-08-13 09:27:29 | 7 | |||||||
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SOURCE Resource Report Resource Website 50+ mentions |
SOURCE (RRID:SCR_005799) | SOURCE | data or information resource, analysis service resource, production service resource, database, service resource, data analysis service | 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 | 2026-08-13 09:27:22 | 69 | |||||
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Gene Class Expression Resource Report Resource Website 1+ mentions |
Gene Class Expression (RRID:SCR_005679) | Gene Class | data or information resource, analysis service resource, production service resource, database, service resource, data analysis service | 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 | 2026-08-13 09:27:32 | 1 | ||||
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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 | data or information resource, analysis service resource, production service resource, database, service resource, data analysis service | 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 | 2026-08-13 09:27:18 | 37 | ||||||
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SEECER Resource Report Resource Website 10+ mentions |
SEECER (RRID:SCR_005274) | SEECER | data analysis software, data processing software, software application, algorithm resource, software resource, sequence analysis software | 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 | 2026-08-13 09:27:11 | 12 | |||||
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Unified Medical Language System Resource Report Resource Website 10+ mentions |
Unified Medical Language System (RRID:SCR_006363) | UMLS | data or information resource, narrative resource, data access protocol, standard specification, international standard specification, database, web service, software resource | 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) | 2026-08-13 09:27:29 | 47 | ||||||
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NeuroNEXT Resource Report Resource Website 1+ mentions |
NeuroNEXT (RRID:SCR_006760) | NeuroNEXT | topical portal, data or information resource, disease-related portal, knowledge environment, research forum portal, 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 | 2026-08-13 09:27:34 | 8 | |||||
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Onto-Compare Resource Report Resource Website 1+ mentions |
Onto-Compare (RRID:SCR_005669) | Onto-Compare | data or information resource, analysis service resource, production service resource, database, service resource, data analysis service | Microarrays are at the center of a revolution in biotechnology, allowing researchers to screen tens of thousands of genes simultaneously. Typically, they have been used in exploratory research to help formulate hypotheses. In most cases, this phase is followed by a more focused, hypothesis driven stage in which certain specific biological processes and pathways are thought to be involved. Since a single biological process can still involve hundreds of genes, microarrays are still the preferred approach as proven by the availability of focused arrays from several manufacturers. Since focused arrays from different manufacturers use different sets of genes, each array will represent any given regulatory pathway to a different extent. We argue that a functional analysis of the arrays available should be the most important criterion used in the array selection. We developed Onto-Compare as a database that can provide this functionality, based on the GO nomenclature. Compare commercially available microarrays based on GO. User account required. Platform: Online tool | microarray, gene, ontology, gene expression, data-mining, browser, visualization, analysis, compare, search engine, ontology or annotation browser, ontology or annotation search engine, ontology or annotation visualization, database or data warehouse, other analysis, compare commercially available microarrays based on go |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Wayne State University; Michigan; USA |
PMID:12664686 PMID:15215428 |
Free for academic use | nlx_149108 | SCR_005669 | 2026-08-13 09:27:32 | 1 | |||||||
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SBO Resource Report Resource Website 1+ mentions |
SBO (RRID:SCR_006753) | SBO | ontology, data or information resource, database, controlled vocabulary | A set of controlled, relational vocabularies of terms commonly used in Systems Biology, and in particular in computational modeling. The ontology consists of seven orthogonal vocabularies defining: the roles of reaction participants (eg. substrate), quantitative parameters (eg. Michaelis constant), a precise classification of mathematical expressions that describe the system (eg. mass action rate law), the modeling framework used (eg. logical framework), and a branch each to describe entity (eg. macromolecule) and interaction (eg. process) types, and a branch to define the different types of metadata that may be present within a model. SBO terms can be used to introduce a layer of semantic information into the standard description of a model, or to annotate the results of biochemical experiments in order to facilitate their efficient reuse. SBO is an Open Biomedical Ontologies (OBO) candidate ontology, and is free for use. A programmatic access to the content of the Systems Biology Ontology is provided by Web Services. | systems biology, computational modeling, web service, obo, gold standard |
is listed by: BioPortal is related to: BioModels.net is related to: OBO has parent organization: European Bioinformatics Institute |
NIGMS | PMID:17118155 | Free, The community can contribute to this resource | nlx_66206 | SCR_006753 | Systems Biology Ontology | 2026-08-13 09:27:36 | 4 | |||||
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IDEAL - Intrinsically Disordered proteins with Extensive Annotations and Literature Resource Report Resource Website 10+ mentions |
IDEAL - Intrinsically Disordered proteins with Extensive Annotations and Literature (RRID:SCR_006027) | IDEAL | data or information resource, analysis service resource, production service resource, database, service resource, data analysis service | IDEAL, Intrinsically Disordered proteins with Extensive Annotations and Literature, is a collection of knowledge on experimentally verified intrinsically disordered proteins (IDPs) or intrinsically disordered regions (IDRs). IDEAL contains manually curated annotations on IDPs in locations, structures, and functional sites such as protein binding regions and posttranslational modification sites together with references and structural domain assignments. Protean segment One of the unique phenomena seen in IDPs is so-called the coupled folding and binding, where a short flexible segment can bind to its binding partner with forming a specific structure to act as a molecular recognition element. IDEAL explicitly annotates these regions as protean segment (ProS) when unstructured and structured information are both available in the region. Access to the data All the entries are tabulated in the list and individual entries can be retrieved by using the search tool at the upper-right corner in this page. IDEAL also provides the BLAST search, which can find homologs in IDEAL. All the information in IDEAL can be downloaded in the XML file. | intrinsically disordered protein, protein, intrinsically disordered region, region, location, structure, functional site, protein binding region, binding region, posttranslational modification site, reference, structural domain assignment, blast, homolog, simian virus 40, epstein-barr virus, human herpesvirus 1, residue, protean segment, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Nagoya University; Nagoya; Japan |
Japanese Ministry of Education Culture Sports Science and Technology MEXT | PMID:22067451 | biotools:ideal, nlx_151427 | https://bio.tools/ideal | SCR_006027 | IDEAL - Intrinsically Disordered proteins with Extensive Annotations Literature, Intrinsically Disordered proteins with Extensive Annotations and Literature | 2026-08-13 09:27:24 | 11 | |||||
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Pathbase Resource Report Resource Website 10+ mentions |
Pathbase (RRID:SCR_006141) | Pathbase | ontology, data or information resource, data access protocol, controlled vocabulary, image collection, database, service resource, data repository, web service, storage service resource, software resource, image repository | Database of histopathology photomicrographs and macroscopic images derived from mutant or genetically manipulated mice. The database currently holds more than 1000 images of lesions from mutant mice and their inbred backgrounds and further images are being added continuously. Images can be retrieved by searching for specific lesions or class of lesion, by genetic locus, or by a wide set of parameters shown on the Advanced Search Interface. Its two key aims are: * To provide a searchable database of histopathology images derived from experimental manipulation of the mouse genome or experiments conducted on genetically manipulated mice. * A reference / didactic resource covering all aspects of mouse pathology Lesions are described according to the Pathbase pathology ontology developed by the Pathbase European Consortium, and are available at the site or on the Gene Ontology Consortium site - OBO. As this is a community resource, they encourage everyone to upload their own images, contribute comments to images and send them their feedback. Please feel free to use any of the SOAP/WSDL web services. (under development) | histopathology, photomicrograph, macroscopic, mutant, genetically manipulated, pathology, transgenic, rodent, mpath ontology, mouse pathology ontology, skinbase, genotype, skin, gene, tissue, hair, mutant mouse strain, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: University of Cambridge; Cambridge; United Kingdom is parent organization of: Mouse Pathology Ontology |
Lesion, Mutant mouse strain, Inbred mouse strain | North American Hair Research Society ; Ellison Medical Foundation ; European Union QLRI-1999-00320; European Union LSHG-CT-2006-037188; NCI CA089713; NCRR RR17436; NIH AR49288 |
PMID:20587689 PMID:15623888 PMID:14681470 |
Except where otherwise noted, Creative Commons Attribution-NonCommercial-ShareAlike License, v3 Unported, Images on the database remain the property of the persons generously allowing their images to be used and are acknowledged within each record. Images should not be modified, Reproduced or disseminated without the express permission of the submitter. | biotools:pathbase, nlx_151637 | https://bio.tools/pathbase | SCR_006141 | Pathbase - European mutant mouse pathology database | 2026-08-13 09:27:26 | 11 | |||
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Brain Canada Resource Report Resource Website 10+ mentions |
Brain Canada (RRID:SCR_005053) | Brain Canada | topical portal, data or information resource, funding resource, portal | Brain Canada is a national non-profit organization that develops and supports collaborative, multidisciplinary, multi-institutional research across the neurosciences. Through partnering with the public, private and voluntary sectors, Brain Canada connects the knowledge and resources available in this area to accelerate neuroscience research and funding and maximize the output of Canada''s world-class scientists and researchers. Brain Canada was created to address the twin challenges of increasing the scale of brain research funding in Canada and widening its scope to encourage interdisciplinary collaboration to produce insights for treating multiple disorders. Brain Canada is built on the successes and model of NeuroScience Canada (NSC). Established in 1999, NSC raised more than $11.5 million, leveraged over $20 million with partnered funding, and funded 100 individual and teams of researchers in Canada. Brain Canada is the new vision for Canadian brain researchthe voice for the brain and the grouping of brain disorders, raising awareness about their prevalence and impact on individuals, families, the economy and society. But most important, through the research we are funding, we are giving hope to the millions of Canadians who are directly or indirectly touched by diseases, disorders, and injuries of the brain, spinal cord and nervous system. | brain, neuroscience, research, brain disorder | is related to: Canadian Open Neuroscience Platform | nlx_144038 | SCR_005053 | Brain Canada Foundation | 2026-08-13 09:27:21 | 11 | ||||||||
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Zebrafish Neurophenome Project Database Resource Report Resource Website 1+ mentions |
Zebrafish Neurophenome Project Database (RRID:SCR_004482) | ZNP | data or information resource, service resource, data repository, storage service resource, data set | Database of neurobehavioral and physiological data of adult zebrafish models, complementing the available repositories for zebrafish genetic information, by providing a dynamic, open-access data repository of comprehensive, curated collection of results from zebrafish neurobehavioral experiments. As of May 2012, it contains over 4,500 experimental results, from over 75 unique physiological and behavioral tests and 330 different drug treatments. ZNP incorporates validated and curated data from work published in this field, to improve the accessibility of current knowledge to researchers interested in using adult zebrafish models. Overall, this program will allow investigators to rapidly review data, to direct their research using these models. Data and protocol submissions are now being accepted. | zebrafish, behavior, pharmacology, psychopharmacology, drug, adult zebrafish, phenotype, model, neurobehavior, physiology |
is listed by: 3DVC has parent organization: Tulane University School of Medicine; Louisiana; USA has parent organization: Zebrafish Neuroscience Research Consortium |
Tulane University; Louisiana; USA ; NIDA DA030900-02 |
PMID:22171801 | Open-access, Please cite | nlx_143762 | http://www.tulane.edu/%E2%88%BCznpindex/search | SCR_004482 | ZNPdb, Zebrafish Neurophenome Project, ZNP Database, Zebrafish Neurophenome Database | 2026-08-13 09:26:59 | 2 | ||||
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VisTrails Resource Report Resource Website 10+ mentions |
VisTrails (RRID:SCR_006261) | VisTrails | workflow software, data processing software, software resource, software application | Open-source scientific workflow and provenance management system that provides support for simulations, data exploration and visualization. It was designed to manage these rapidly-evolving workflows. VisTrails has a comprehensive provenance infrastructure that maintains detailed history information about the steps followed and data derived in the course of an exploratory task: VisTrails maintains provenance of data products, of the workflows that derive these products and their executions. This information is persisted as XML files or in a relational database, and it allows users to navigate workflow versions in an intuitive way, to undo changes but not lose any results, to visually compare different workflows and their results, and to examine the actions that led to a result. It also enables a series operations and user interfaces that simplify workflow design and use, including the ability to create and refine workflows by analogy and to query workflows by example. VisTrails supports the creation and execution of workflows. It allows the combination of loosely-coupled resources, specialized libraries, grid and Web services. The released version comes with support for several packages including, VTK, Image Magick, Web Services, and pylab. You can also download packages contributed by users, as well as create your own packages/modules. Workflows can be run interactively, through the VisTrails GUI, or in batch using a VisTrails server. VisTrails is written in Python and it uses the multi-platform Qt library for its user interface. It runs on Mac, Linux and Windows. Provenance-rich results derived by VisTrails can be included in LaTeX, Wiki, Microsoft Word and PowerPoint documents. | workflow, provenance, simulation, data exploration, visualization, data analysis, management system, python, mac, linux, windows |
is listed by: FORCE11 is related to: crowdLabs has parent organization: University of Utah; Utah; USA |
DOE ; IBM ; NSF IIS-0905385; NSF IIS-0844572; NSF IIS CAREER-0746500; NSF CNS-0751152; NSF IIS-0513692; NSF CCF-0401498; NSF CNS-0541560; NSF OISE-0405402; NSF OCE-0424602; NSF CNS-0524096; NSF IIS-0534628 |
Open unspecified license | nif-0000-06694 | SCR_006261 | Vis Trails | 2026-08-13 09:27:36 | 20 | ||||||
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TreeBASE Resource Report Resource Website 500+ mentions |
TreeBASE (RRID:SCR_005688) | TreeBASE | data or information resource, database, service resource, data repository, storage service resource | Repository of phylogenetic information, specifically user-submitted phylogenetic trees and the data used to generate them. TreeBASE accepts all kinds of phylogenetic data (e.g., trees of species, trees of populations, trees of genes) representing all biotic taxa. Data in TreeBASE are exposed to the public if they are used in a publication that is in press or published in a peer-reviewed scientific journal, book, conference proceedings, or thesis. Data used in publications that are in preparation or in review can be submitted to TreeBASE but will not be available to the public until they have passed peer review. | taxonomy, matrix, tree, topology, phylogeography, cladistic analysis, amino acid sequence, animal behavior, morphology, nucleotide sequence, genetics, dna, phylogeny, evolution, gene, population, web service, FASEB list |
is listed by: re3data.org is listed by: SoftCite has parent organization: NESCent - National Evolutionary Synthesis Center |
NSF DEB 9318325; NSF EF 0331654 |
Public, The community can contribute to this resource | r3d100010170, nif-0000-03587 | https://doi.org/10.17616/R3DK58 | SCR_005688 | TreeBASE - A Database of Phylogenetic Knowledge | 2026-08-13 09:27:20 | 813 | |||||
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DARC - Database for Aligned Ribosomal Complexes Resource Report Resource Website 10+ mentions |
DARC - Database for Aligned Ribosomal Complexes (RRID:SCR_006932) | DARC | data or information resource, analysis service resource, model, production service resource, database, service resource, data analysis service | A database for aligned ribosomal complexes that provides a resource for directly comparing the structures. A collection of files deposited in the RCSB protein data bank and the Electron Microscopy Data Bank have been aligned so as to make direct comparison of the structures possible. An easy-to-use, searchable interface allows users to access and download >130 cryo-EM maps and >300 atomic models in the format of brix and pdb files, respectively. The aligned coordinate system substantially simplifies direct visualization of conformational changes in the ribosome, such as subunit rotation and head-swiveling, as well as direct comparison of bound ligands, such as antibiotics or translation factors. | ribosomal complex, cryo-electron microscopy, ribosomal particle, atomic model, ribosome, x-ray crystallography, structure, bio.tools |
uses: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) uses: Electron Microscopy Data Bank at PDBe (MSD-EBI) is listed by: Debian is listed by: bio.tools has parent organization: Ludwig-Maximilians-University; Munich; Germany |
DFG SFB594; DFG SFB646; DFG WI3285/1-1 |
PMID:22009674 | biotools:darc_site, nlx_149452 | https://bio.tools/darc_site | SCR_006932 | The DARC site, Database for Aligned Ribosomal Complexes, Database for Aligned Ribosomal Complexes (DARC), DARC site | 2026-08-13 09:27:36 | 27 | |||||
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MRB - Mouse Resource Browser Resource Report Resource Website 1+ mentions |
MRB - Mouse Resource Browser (RRID:SCR_005961) | MRB | data or information resource, data access protocol, registry, database, source code, web service, software resource | Dynamic and interactive view of 222 world wide available mouse resources, classified in 22 categories. The massive generation of data has led to the propagation of mouse resources and databases and the concomitant need for formalized experimental descriptions, data standardization and database interoperability and integration. In this context and with these goals, information is collected through an online questionnaire and/or manual curation. All mouse resource data in MRB are broken up in four sections and presented in four tabs: * The General section/tab contains information such as URL(s), contact information, database description and categorization and related links. * The Ontologies & Standards tab indicates controlled vocabularies and data representation standards adopted by each resource, such as ontologies and minimum information standards. A hyperlink to an index of OBO and non-OBO ontologies can be found here; an index of minimum information standards can be found here. * The Technical tab holds technical information for each resource such as the server technology used, relational database management system(s) utilized, programming language(s) of implementation, schema descriptive documents or actual database dumps and most importantly information on each resource''s programmatic access, the integration and interoperability services. Additionally and through the integration with Molgenis, MRB is capable of generating a SOAP API for hosted resources. * The final section on Database Description Framework (DDF) Criteria, describes the compliance of each resource to the CASIMIR database criteria, which aim to capture key technical data about a database in a formal framework. All data in MRB are freely available to interested users through downloadable weekly database dumps. Programmatic access to some of MRB''s data is feasible via MRB''s SOAP web service. MRB is the front end of a relational, fully normalized PostgreSQL database. The source code is available under the GNU general public license (GPL) as a binary download and via cvs. | registry, experimental description, data standardization, database interoperability, integration, minimum information standard, ontology, standard | has parent organization: BSRC Al. Fleming; East Attica; Greece | European Union LSHG-CT-2006-037811 | Free, Source code is available under the GNU general public license., The community can contribute to this resource | nlx_151623 | SCR_005961 | Mouse Resource Browser (MRB), Mouse Resource Browser | 2026-08-13 09:27:21 | 2 | ||||||
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Biomedical Informatics Research Network Resource Report Resource Website 10+ mentions |
Biomedical Informatics Research Network (RRID:SCR_005163) | BIRN | data or information resource, database, service resource, data repository, storage service resource, atlas, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 22, 2023. National initiative to advance biomedical research through data sharing and online collaboration that provides data sharing infrastructure, software tools, strategies and advisory services. Groups may choose whether to share data internally or with external audiences. Hardware and data remain under control of individual user groups. | dti, fmri, alzheimer's disease, cognitive impairment, collaborative environment, cyberinfrastructure, data sharing, depressive disorder, information technology, infrastructure, memory dysfunction, microarray, mri, neurodegenerative disease, neuroinformatics, neuroimaging, genetics, biomedical material, neurobiology, electrophysiology, collaboration, biomedical, imaging, imaging system, biomedical engineering, brain, health |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: re3data.org is listed by: DataCite has parent organization: University of Southern California; Los Angeles; USA is parent organization of: Morphometry BIRN is parent organization of: Knowledge Engineering from Experimental Design is parent organization of: Mouse Biomedical Informatics Research Network is parent organization of: NIH Topic Maps - A Topic Database of NIH Funded Grants is parent organization of: Human Imaging Database is parent organization of: Function BIRN is parent organization of: B0 and eddy current correction for DTI is parent organization of: BrainSuite is parent organization of: Open Access Series of Imaging Studies |
NIH Blueprint for Neuroscience Research ; NCRR 1U24-RR025736; NCRR U24-RR021992; NCRR U24-RR021760; NCRR 1U24-RR026057-01; NIGMS U24 GM104203 |
PMID:21515543 PMID:18348946 PMID:17238407 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00027, r3d100010770 | http://www.nitrc.org/projects/birn, https://doi.org/10.17616/R3F02K | http://www.birncommunity.org/, https://neuroscienceblueprint.nih.gov/factSheet/birn.htm | SCR_005163 | BIRN - The Conduit for Biomedical Research, Biomedical Informatics Research Network - The Conduit for Biomedical Research | 2026-08-13 09:27:16 | 12 |
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