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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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VARIANT Resource Report Resource Website 1000+ mentions |
VARIANT (RRID:SCR_005194) | VARIANT | service resource, production service resource, software application, data processing software, analysis service resource, software resource, data analysis service, data analysis software | Analysis tool that can report the functional properties of any variant in all the human, mouse or rat genes (and soon new model organisms will be added) and the corresponding neighborhoods. Also other non-coding extra-genic regions, such as miRNAs are included in the analysis. It not only reports the obvious functional effects in the coding regions but also analyzes noncoding SNVs situated both within the gene and in the neighborhood that could affect different regulatory motifs, splicing signals, and other structural elements. These include: Jaspar regulatory motifs, miRNA targets, splice sites, exonic splicing silencers, calculations of selective pressures on the particular polymorphic positions, etc. Software analysis pipelines used in the analysis of NGS data are highly modular, heterogeneous, and rapidly evolving. VARIANT can easily be incorporated into a NGS resequencing pipeline either as a CLI or invoked a webservice. It inputs data directly from the most widely used programs for SNV detection., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | functional property, variant, gene, non-coding region, mirna, function, single nucleotide variant, next generation sequencing, command line |
is listed by: OMICtools has parent organization: Principe Felipe Research Centre; Valencia; Spain |
Spanish Ministry of Science and Innovation BIO2011-27069 | PMID:22693211 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00193 | SCR_005194 | Variant effect, VARIant ANalysis Tool | 2026-08-12 10:49:07 | 1366 | |||||
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SNPdbe Resource Report Resource Website 1+ mentions |
SNPdbe (RRID:SCR_005190) | SNPdbe | service resource, data or information resource, database, data repository, storage service resource | A database to fill the annotation gap left by the high cost of experimental testing for functional significance of protein variants. It joins related bits of knowledge, currently distributed throughout various databases, into a consistent, easily accessible, and updatable resource. It currently covers over 155,000 protein sequences which come from more than 2,600 organisms. Overall more than one million single amino acid substitutions (SAASs) are referenced consisting of natural variants, SAASs from mutagenesis experiments and sequencing conflicts. SNPdbe offers the following pieces of information (if available) on each SAAS: * Experimentally derived functional and structural impact * Predicted functional effect * Associated disease * Average heterozygosity * Experimental evidence of the nsSNP * Evolutionary conservation of wildtype and mutant amino acid * Link-outs to external databases A convenient webinterface to query SAASs on the following levels is offered: * Protein and gene identifiers and keywords * Disease keywords * Protein sequence on different sequence identity thresholds * Variant identifier (dbSNP rs, SwissVar, PMD) or specific mutant like XposY and specified sequence They offer the possibility to submit protein sequences along with experimentally substantiated mutations in order to predict their functional effect and inclusion into our database. | single amino acid substitution, protein variant, protein, variant, protein sequence, natural variant, mutagenesis, sequencing, mutation |
is listed by: OMICtools has parent organization: ROSTLAB |
PMID:22210871 | Free for academic use, Non-commercial, Commercial use with permission, The community can contribute to this resource | OMICS_00185 | SCR_005190 | SNPdbe - nsSNP database of functional effects, nsSNP database of functional effects | 2026-08-12 10:49:07 | 4 | ||||||
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Protocol Online - Your labs reference book Resource Report Resource Website 10+ mentions |
Protocol Online - Your labs reference book (RRID:SCR_004937) | Protocol Online | data or information resource, narrative resource, experimental protocol | Database of research protocols in a variety of life science fields, it contains protocols contributed by worldwide researchers as well as links to web protocols hosted by worldwide research labs, biotech companies, personal web sites. The data is stored in a MySql relational database. Protocol Online also hosts discipline specific discussion forums (BioForum), and provides a free PubMed search and alerting service (PubAlert). | bioinformatics, molecular biology, immunology, microbiology, proteomics, cell biology, database |
is used by: NIF Data Federation is used by: Integrated Blogs |
Eppendorf ; Invitrogen ; Chang Bioscience ; Mirus ; KPL ; Oligomaster ; Abcam ; Nature Publishing Group |
nlx_90492 | SCR_004937 | Protocol Online Your lab''s reference book, Protocol-Online | 2026-08-12 10:49:04 | 11 | |||||||
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CTSAconnect Resource Report Resource Website |
CTSAconnect (RRID:SCR_005225) | CTSAconnect | ontology, service resource, data or information resource, narrative resource, controlled vocabulary, source code, knowledge environment, standard specification, software resource | THIS RESOURCE IS NO LONGER IS SERVICE. Documented on December 5th, 2022. Semantic framework to integrate information about research activities, clinical activities, and scientific resources to facilitate the production and consumption of Linked Open Data about investigators, physicians, biomedical research resources, services, and clinical activities. The goal is to enable software to consume data from multiple sources and allow the broadest possible representation of researchers'''' and clinicians'''' activities and research products. Current research tracking and networking systems rely largely on publications, but clinical encounters, reagents, techniques, specimens, model organisms, etc., are equally valuable for representing expertise. CTSAConnect will provide linkage between semantic representations of a wide range of clinical and research data using controlled vocabularies mapped to the Unified Medical Language System (UMLS) as a bridge between the two subject areas. The data sources include data from Medicaid, hospital billing systems, CTSAShareCenter, and other CTSA resource data, eagle-i and VIVO. It allows institutions to leverage existing tools and data sources by making the information they contain more discoverable and easier to integrate. For instance, with the ISF, researchers can be characterized by organizational affiliations, grant and project participation, research resources that they have generated, and publications that they have (co)-authored. Clinicians can be characterized by training and credentials, by clinical research topic, and by the kinds of procedures and specialization that can be inferred from encounter data. LOD refers to data that has been given a specific Uniform Resource Identifier (URI), for the purpose of sharing and linking data and information on the Semantic Web. While a large amount of data is published as LOD, there remains a significant gap in the representation of research resources and clinical expertise. Researchers can be characterized by the organization to which they belong, the grants and research in which they have participated, the research topics and research resources (reagents, biospecimens, animal models) they have generated, as well as the publications they have (co)-authored. Clinician profiles on the other hand, can be defined by their credentials, clinical research topics, and the kinds of procedures and specialization that can be inferred from clinical encounter data. They believe that integrating and relating this diversity of information sources and platforms requires addressing the overlap between research resources and the attributes and activities of researchers and clinicians. CTSAconnect aims to promote integration and discovery of research activities, resources, and clinical expertise. To this end, they will publish their ontologies and LOD via their website, which will also illustrate repeatable methods and examples of how to extract, consume, and utilize this valuable new LOD using freely available tools like VIVO, eagle-i, and Google APIs. CTSAconnect is a collaboration between Oregon Health & Science University, Stony Brook University, Cornell University, Harvard University, University at Buffalo, and the University of Florida, and leverages the work of eagle-i (eagle-i.net), VIVO (vivoweb.org), and ShareCenter (ctsasharecenter.org). | data sharing, clinical, research, semantic framework, linked open data, collaborate |
is related to: Eagle I is related to: VIVO is related to: CTSA ShareCenter is related to: Clinical and Translational Science Awards Consortium is related to: CTSA ShareCenter has parent organization: Oregon Health and Science University; Oregon; USA has parent organization: Harvard University; Cambridge; United States |
Booz Allen Hamilton ; National Center for Advancing Translational Sciences |
THIS RESOURCE IS NO LONGER IS SERVICE | nlx_144228 | SCR_005225 | CTSAconnect: A Linked Open Data approach to represent clinical and research expertise activities and resources, CTSA Connect, Clinical and Translational Science Awards Connect | 2026-08-12 10:49:08 | 0 | ||||||
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Wikipedia Resource Report Resource Website 1000+ mentions |
Wikipedia (RRID:SCR_004897) | Wikipedia | data or information resource, database, narrative resource, wiki | Wikipedia is a free, web-based, collaborative, multilingual encyclopedia project supported by the non-profit Wikimedia Foundation. Its 19 million articles (over 3.6 million in English) have been written collaboratively by volunteers around the world, and almost all of its articles can be edited by anyone with access to the site. As of July 2011, there were editions of Wikipedia in 282 languages. Wikipedia was launched in 2001 by Jimmy Wales and Larry Sanger and has become the largest and most popular general reference work on the Internet, ranking around seventh among all websites on Alexa and having 365 million readers. The name Wikipedia was coined by Larry Sanger and is a combination of wiki (a technology for creating collaborative websites, from the Hawaiian word wiki, meaning quick) and encyclopedia. Wikipedia''s departure from the expert-driven style of encyclopedia building and the large presence of unacademic content has been noted several times. Some have noted the importance of Wikipedia not only as an encyclopedic reference but also as a frequently updated news resource because of how quickly articles about recent events appear. Although the policies of Wikipedia strongly espouse verifiability and a neutral point of view, critics of Wikipedia accuse it of systemic bias and inconsistencies (including undue weight given to popular culture), and allege that it favors consensus over credentials in its editorial processes. Its reliability and accuracy are also targeted. A 2005 investigation in Nature showed that the science articles they compared came close to the level of accuracy of Encyclopedia Britannica and had a similar rate of serious errors. |
is used by: DBpedia is related to: ImpactStory is related to: WikiProject Clinical Trials is parent organization of: Comparison of web annotation systems is parent organization of: Gene Wiki is parent organization of: Cumulative Distribution Function is parent organization of: Wikibooks |
Wikimedia Foundation | nlx_86719 | SCR_004897 | 2026-08-12 10:49:03 | 1760 | |||||||||
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Inflammatory Breast Cancer Research Foundation Resource Report Resource Website |
Inflammatory Breast Cancer Research Foundation (RRID:SCR_004898) | IBC Research Foundation | portal, data or information resource, funding resource, disease-related portal, topical portal | The Inflammatory Breast Cancer Research Foundation is a non-profit corporation dedicated to the support of research and public awareness. It is dedicated to researching the cause of Inflammatory Breast Cancer, also known as IBC, an advanced and accelerated form of breast cancer usually not detected by mammograms or ultrasounds. Inflammatory breast cancer requires immediate aggressive treatment with chemotherapy prior to surgery and is treated differently than more common types of breast cancer. Our mission is to assist scientists and researchers in their quest to determine the definitive causes of inflammatory breast cancer. The Inflammatory Breast Cancer Research Foundation seeks to assist them in their work so effective and meaningful detection and diagnosis, prevention and treatment can be pursued and achieved. Our Goals Include: * To ignite interest in the study and research of inflammatory breast cancer at every level. From researchers to physicians, educators and scientists, the IBC Research Foundation seeks to support and inspire those seeking to identify the cause(s) of inflammatory breast cancer. * To support research, the purpose of which is to reach an unambiguous definition of inflammatory breast cancer. The clinical/pathological definition in use since the late 1800s with little change in the 1900s is ambiguous and doesn''t result in a diagnosis of all cases of IBC. By using research methods available in the 21st Century, an unambiguous definition is now possible, assuring with high certainty that all cases of IBC will be correctly diagnosed, and possible sub-types of IBC identified, which may lead to better treatment outcomes. * To increase awareness of IBC for primary care physicians, nursing professionals, and medical technicians in order to minimize the time from presentation of symptoms to correct diagnosis of inflammatory breast cancer. * To increase public awareness in an effort to encourage women to seek medical attention for common inflammatory breast cancer symptoms soon after they appear and to empower patients, caregivers, families and friends to pursue meaningful paths in support of diagnosis and treatment of inflammatory breast cancer. | is parent organization of: Inflammatory Breast Cancer Biobank | small tax-deductible voluntary donations | nlx_86933 | SCR_004898 | 2026-08-12 10:49:04 | 0 | |||||||||
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NCBI Sequence Read Archive (SRA) Resource Report Resource Website 5000+ mentions |
NCBI Sequence Read Archive (SRA) (RRID:SCR_004891) | SRA | service resource, data or information resource, database, data repository, storage service resource | Repository of raw sequencing data from next generation of sequencing platforms including including Roche 454 GS System, Illumina Genome Analyzer, Applied Biosystems SOLiD System, Helicos Heliscope, Complete Genomics, and Pacific Biosciences SMRT. In addition to raw sequence data, SRA now stores alignment information in form of read placements on reference sequence. Data submissions are welcome. Archive of high throughput sequencing data,part of international partnership of archives (INSDC) at NCBI, European Bioinformatics Institute and DNA Database of Japan. Data submitted to any of this three organizations are shared among them. | sequence, blast, next-generation sequence, alignment, read placement, reference sequence, roche 454 gs system, illumina genome analyzer, applied biosystems solid system, helicos heliscope, complete genomics, pacific biosciences smrt, high-throughput sequencing, data analysis service, gold standard |
is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is listed by: OMICtools is related to: European Nucleotide Archive (ENA) is related to: RecountDB is related to: SRAdb is related to: DDBJ Sequence Read Archive is related to: Bgee: dataBase for Gene Expression Evolution is related to: NCBI BioSample is related to: DDBJ Sequence Read Archive is related to: METAGENOTE has parent organization: NCBI works with: SARS-CoV-2-Sequences works with: Signaling Pathways Project |
NLM | PMID:22009675 PMID:21062823 |
Free, Available for download, Freely available | OMICS_01031, nlx_86174, r3d100010775 | https://doi.org/10.17616/R31S69 | SCR_004891 | Sequence Read Archive, , SRA, NCBI SRA | 2026-08-12 10:49:03 | 7247 | ||||
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SINA Resource Report Resource Website 100+ mentions |
SINA (RRID:SCR_005067) | SINA | service resource, production service resource, analysis service resource, software resource, data analysis service | Service to align and optionally taxonomically classify your rRNA gene sequences. The results can be combined with any other sequences aligned by SINA or taken from the SILVA databases by concatenation of FASTA files or using the ARB MERGE tool. Note: Submission is currently limited to at most 1000 sequences of at most 6000 bases each. If your requirements exceed this limitation, get Opens internal link in current windowSINA for local installation. | alignment, taxonomic classification, rrna, gene sequence, fasta, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: SILVA is related to: ARB project has parent organization: Max Planck Institute for Marine Microbiology; Bremen; Germany |
PMID:22556368 | Free, Available for download, Freely available | OMICS_01438, biotools:sina | https://bio.tools/sina, https://sources.debian.org/src/sina/, https://github.com/epruesse/SINA | SCR_005067 | SINA Alignment Service, SILVA Incremental Aligner | 2026-08-12 10:49:05 | 387 | |||||
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Neuron Navigator Resource Report Resource Website |
Neuron Navigator (RRID:SCR_005063) | NNG | d spatial image, service resource, data or information resource, production service resource, database, analysis service resource, data analysis service | Neuron Navigator (NNG) integrates a 3D neuron image database into an easy-to-use visual interface. Via a flexible and user-friendly interface, NNG is designed to help researchers analyze and observe the connectivity within the neural maze and discover possible pathways. With NNG''s 3D neuron image database, researchers can perform volumetric searches using the location of neural terminals, or the occupation of neuron volumes within the 3D brain space. Also, the presence of the neurons under a combination of spatial restrictions can be shown as well. NNG is a result of a multi-discipline collaboration between neuroscientists and computer scientists, and NNG has now been implemented on a coordinated brain space for the Drosophila (fruit fly) brain. Account is required. | image database, connectivity, drosophila, brain, neuron | has parent organization: National Tsing Hua University; Hsinchu; Taiwan | nlx_144057 | SCR_005063 | NNG: Neuron Navigator, NNG: Neuron Navigator - A Database of Drosophila Brain Neurons | 2026-08-12 10:49:05 | 0 | ||||||||
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SeqAnt Resource Report Resource Website 1+ mentions |
SeqAnt (RRID:SCR_005186) | SeqAnt | service resource, production service resource, analysis service resource, software resource, data analysis service | A free web service and open source software package that performs rapid, automated annotation of DNA sequence variants (single base mutations, insertions, deletions) discovered with any sequencing platform. Variant sites are characterized with respect to their functional type (Silent, Replacement, 5' UTR, 3' UTR, Intronic, Intergenic), whether they have been previously submitted to dbSNP, and their evolutionary conservation. Annotated variants can be viewed directly on the web browser, downloaded in a tab delimited text file, or directly uploaded in a Browser Extended Data (BED) format to the UCSC genome browser. SeqAnt further identifies all loci harboring two or more coding sequence variants that help investigators identify potential compound heterozygous loci within exome sequencing experiments. In total, SeqAnt resolves a significant bottleneck by allowing an investigator to rapidly prioritize the functional analysis of those variants of interest. | annotation, dna sequence variant, single base mutation, insertion, deletion, sequencing, mutation, variant, sequence variant, perl, sequence, genome |
is listed by: OMICtools has parent organization: Emory University; Georgia; USA has parent organization: SourceForge |
PMID:20854673 | GNU General Public License, v2 | OMICS_00182 | SCR_005186 | SeqAnt - Sequence Annotator | 2026-08-12 10:49:07 | 2 | ||||||
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Classifier for Metagenomic Sequences Resource Report Resource Website 100+ mentions |
Classifier for Metagenomic Sequences (RRID:SCR_004929) | ClaMS | data processing software, data analysis software, software resource, software application | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 2nd, 2023. Sequence composition based classifier for metagenomic sequences. It works by capturing signatures of each sequence based on the sequence composition. Each sequence is modeled as a walk in a de Bruijn graph with underlying Markov chain properties. ClaMS captures stationary parameters of the underlying Markov chain as well as structural parameters of the underlying de Bruijn graph to form this signature. In practice, for each sequence to binned, such a signature is computed and matched to similar signatures computed for the training sets. The best match that also qualifies the normalized distance cut-off wins. In the case that the best match does not qualify this cut-off, the sequence remains un-binned. | metagenome, classification, sequence |
is listed by: OMICtools has parent organization: DOE Joint Genome Institute |
DOE contract DE-AC02-05CH11231 | THIS RESOURCE IS NO LONGER IN SERVICE | SCR_005519, nlx_144629, OMICS_01452 | SCR_004929 | 2026-08-12 10:49:04 | 150 | |||||||
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MethodBox Resource Report Resource Website 1+ mentions |
MethodBox (RRID:SCR_004928) | MethodBox | portal, service resource, data or information resource, storage service resource, source code, data set, data repository, community building portal, software resource | Collaboration environment for sharing variable sets and statistical methods for analysis across social science survey data. MethodBox enables you to browse and download datasets, share methods and scripts, find fellow researchers with similar interests and share your knowledge. MethodBox source available on Google code. Finding the variables you need to support a particular research question can be time consuming. Wading through hundreds of pages of PDF documents, codebooks and metadata and then trying to find the exact column in a huge spreadsheet can be very frustrating. MethodBox gets you to the variables faster and lets you download only the data you need. You can also share your scripts with others to allow them to adopt best practice quicker than before. | variable, survey data, method, script, data sharing, social science | has parent organization: University of Manchester; Manchester; United Kingdom | ESRC | PMID:20841736 | Account required | nlx_89127 | SCR_004928 | 2026-08-12 10:49:04 | 1 | ||||||
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Anatomy Atlases Resource Report Resource Website 1+ mentions |
Anatomy Atlases (RRID:SCR_004888) | Anatomy Atlases | portal, book, image collection, data or information resource, narrative resource, topical portal, atlas | An anatomy digital health sciences library to educate patients, healthcare providers, and students in a free and anonymous manner while using current, authoritative, trustworthy health information. Anatomy Atlases addresses the continuum of anatomy education and may be of use primarily to three distinct populations. It is written for and intended primarily for use by Medical Students, Residents, Fellows, or Attending Physicians studying anatomy. Other Health Care Providers studying anatomy should find it useful. Finally, Patients (including patient''s family members or friends) may find it helpful. Anatomy Textbooks and Anatomy Atlases: * Atlas of Human Anatomy * Atlas of Human Anatomy in Cross Section * Illustrated Encyclopedia of Human Anatomic Variation * Atlas of Microscopic Anatomy - A Functional Approach: Companion to Histology and Neuroanatomy: Second Edition * Anatomy of First Aid - A Case Study Approach * Lessons From a Bone Box Lessons From a Bone Box | anatomy, atlas, first aid, histology, neuroanatomy, bone, anatomic variation | Michael P. D'Alessandro M.D. | nlx_85752 | SCR_004888 | 2026-08-12 10:49:03 | 3 | |||||||||
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Bioinformatics Knowledgeblog Resource Report Resource Website |
Bioinformatics Knowledgeblog (RRID:SCR_005379) | Bioinformatics Knowledgeblog | data or information resource, narrative resource, blog, training material | Series of tutorial material covering a broad selection of topics in bioinformatics. Categories include: Bioinformatics APIs, Data integration, Events, Grid and Cloud Computing, Metabolic modelling, Reviews, Software Comparisons, Statistics, Systems Biology, Transcriptomics, Tutorials. | bioinformatics, application programming interface, data integration, event, grid computing, cloud computing, metabolic modelling, review, statistics, systems biology, transcriptomics, tutorial, software | has parent organization: Knowledge Blog | JISC | Acknowledgement requested, The community can contribute to this resource | nlx_144450 | SCR_005379 | Bioinformatics Knowledge Blog | 2026-08-12 10:49:09 | 0 | ||||||
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GASVPro Resource Report Resource Website 1+ mentions |
GASVPro (RRID:SCR_005259) | GASVPro | sequence analysis software, software application, data processing software, software resource, data analysis software | Software tool combining both paired read and read depth signals into probabilistic model which can analyze multiple alignments of reads. Used to find structural variation in both normal and cancer genomes using data from variety of next-generation sequencing platforms. Used to predict structural variants directly from aligned reads in SAM/BAM format.Combines read depth information along with discordant paired read mappings into single probabilistic model two common signals of structural variation. When multiple alignments of read are given, GASVPro utilizes Markov Chain Monte Carlo procedure to sample over the space of possible alignments. | structural variation, genome, genomics, alignment, sequencing, variant, variation, detection, dna, paired, end, read, sequence |
is listed by: OMICtools is related to: GASV has parent organization: Brown University; Rhode Island; USA |
NHGRI R01 HG5690; Burroughs Wellcome Career Award at the Scientific Interface |
PMID:22452995 | Free, Available for download, Freely available | OMICS_00317 | http://code.google.com/p/gasv/downloads/list | SCR_005259 | GASVPro: Geometric Analysis of Structural Variants | 2026-08-12 10:49:08 | 8 | ||||
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HeadIT Resource Report Resource Website 1+ mentions |
HeadIT (RRID:SCR_005657) | HeadIT | service resource, data or information resource, data set, data repository, storage service resource | Platform for sharing, download, and re-analysis or meta-analysis of sophisticated, fully annotated, human electrophysiological data sets. It uses EEG Study Schema (ESS) files to provide task, data collection, and subject metadata, including Hierarchical Event Descriptor (HED) tag descriptions of all identified experimental events. Visospatial task data also available from, http://sccn.ucsd.edu/eeglab/data/headit.html: A 238-channel, single-subject EEG data set recorded at the Swartz Center, UCSD, by Arnaud Delorme, Julie Onton, and Scott Makeig is al. | electrophysiology, data sharing, eeg, visual-auditory cued attention shift paradigm, adult, early adult human, late adult human, memory task, modified sternberg working memory task, visual, auditory, auditory oddball, memory, task |
uses: HED Tags is related to: EEGLAB has parent organization: University of California at San Diego; California; USA |
Normal, Healthy, Others possible | NIMH R01-MH084819; NINDS R01-NS047293 |
Public, Must agree to Data Use Agreement and Terms of Use., Account required for collaboration and to upload data. | nlx_149081 | http://headit-beta.ucsd.edu/, http://sccn.ucsd.edu/eeglab/data/headit.html | http://HeadIT.org | SCR_005657 | Human Electrophysiology Anatomic Data & Integrated Tools (HeadIT) Resource, Human Electrophysiology Anatomic Data & Integrated Tools Resource, Human Electrophysiology Anatomic Data & Integrated Tools, Human Electrophysiology Anatomic Data and Integrated Tools (HeadIT) Resource | 2026-08-12 10:49:12 | 5 | |||
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PRISM (Stanford database) Resource Report Resource Website 10000+ mentions |
PRISM (Stanford database) (RRID:SCR_005375) | PRISM | service resource, data or information resource, production service resource, database, analysis service resource, data analysis service | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | genomic, transcription factor, function, transcription factor binding site, transcription factor regulator, biological role, target gene, target genomic region, genome, FASEB list |
is listed by: OMICtools is listed by: SoftCite is related to: GREAT: Genomic Regions Enrichment of Annotations Tool has parent organization: Stanford University School of Medicine; California; USA |
PMID:23382538 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00489 | SCR_005375 | Predicting Regulatory Information from Single Motifs | 2026-08-12 10:49:10 | 40822 | ||||||
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BrainEthics Resource Report Resource Website |
BrainEthics (RRID:SCR_005530) | BrainEthics | data or information resource, narrative resource, book, blog | There are a lot of fine blogs out there covering the avalance of current neuroscience research. With this blog Thomas Rams��y & Martin Skov want to highlight the many consequences of this growing understanding of the human brain. We are especially interested in two types of consequences: Tinkering with the brain and What is it like to be a human being? * Tinkering with the brain: First and foremost, with an understanding of how the brain works comes the possibility of tinkering with it. We already use billions of dollars every year on psychopharmocologia trying to treat depression, schizophrenia, obsessive-compulsive disorder and other mental diseases. But should we also use our knowledge of the brain to treat undesirable mental traits such as pedophilia or sociopathy? And what about enhancing normal brains? Clearly, evolution hasn''t endowed us with the most efficient brain imaginable. Shouldn''t we do something about its many shortcomings? * What is it like to be a human being?: Secondly, our view of human behavior is sure to change with our improved understanding of the human brain. Our knowledge of core human faculties such as language, social reasoning, aesthetics, and economics is already being challenged by modern neuroscience, yielding multiple hard questions. Do we have a free will? Is the mind innate or plastic? If people are not responsible for their actions (since all actions are caused by blind molecular processes) does our legal system still make sense? In short, will modern neuroscience come to completely redefine human nature? We try to discuss contemporary research literature, not just news reports. Although we will occasionally also target popular science reports, since we believe they play an important role in dissemining lessons from the lab. And in the future we plan to also post interviews with interesting researchers, as well as link to our own publications in journals and books. Additionally, the latest and most important books in the multidisciplinary field of neuroscience, cognition, psychology, ethics and economics are presented. | brain, science, ethics, neuroethics, human, behavior | is parent organization of: BrainEthics Podcast | nlx_144626 | SCR_005530 | Brain Ethics, BrainEthics - Consequences of Brain Science | 2026-08-12 10:49:11 | 0 | ||||||||
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PAZAR Resource Report Resource Website 10+ mentions |
PAZAR (RRID:SCR_005410) | PAZAR | service resource, data or information resource, database, software resource, data repository, storage service resource | Database that unites independently created and maintained data collections of transcription factor and regulatory sequence annotation. The flexible PAZAR schema permits the representation of diverse information derived from experiments ranging from biochemical protein-DNA binding to cellular reporter gene assays. Data collections can be made available to the public, or restricted to specific system users. The data ''boutiques'' within the shopping-mall-inspired system facilitate the analysis of genomics data and the creation of predictive models of gene regulation., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | transcription factor, target gene, regulatory sequence, transcription factor profile, annotation, sequence, profile, transcription factor binding profile, chip, chip-seq, gene, cis-regulatory element, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of British Columbia; British Columbia; Canada has parent organization: SourceForge |
PMID:18971253 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00540, biotools:pazar | https://bio.tools/pazar | SCR_005410 | 2026-08-12 10:49:10 | 32 | ||||||
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Werblin Lab Resource Report Resource Website |
Werblin Lab (RRID:SCR_005251) | Werblin Lab | video resource, portal, image, data or information resource, organization portal, laboratory portal | The goal of our research is to uncover the neural circuitry that mediates some of the remarkable processing capabilities of the retina. The retina to operates at high spatial and temporal resolution over more than 7 orders of magnitude, to detect the direction of motion, to blank and then recover after saccades, to generate at least a dozen different abstract representations of the visual world. How is all of this, and much more, possible in this tissuepaper-thin array of neurons? Videos and images describing this include: * The retinal hypercircuit. * How the Retina Works * Take a Tour through the Retina * Cartoon of the retina showing layering of neurons * Directional Selectivity * Feedback and Crossover inhibition * Multiple Representations of the Visual Scene ** Pseudo Array Recording Methods ** Multiple Representations of the Visual World ** Regions of Frequency Space * Regions of space/time frequency * Space-time rasters for ON and OFF cells * Patching a neuron in a retinal slice * Targeting Retinal Neuron Subregions with Arficial Rhodopsins | retina, hypercircuit, neuron, ganglion | has parent organization: University of California at Berkeley; Berkeley; USA | nlx_144274 | SCR_005251 | Werblin Lab: Division of Neurobiology; Department of Molecular and Cell Biology | 2026-08-12 10:49:08 | 0 |
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If you are logged into RRID 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.
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