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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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SegAN Resource Report Resource Website 1+ mentions |
SegAN (RRID:SCR_016215) | data processing software, image analysis software, software application, software resource | Image analysis software for medical image segmentation. The software is fueled by an end-to-end adversarial neural network that generates segmentation label maps. | neural, network, segmentation, pixel, spatial, image, medical, analysis, labelling, loss function, segmentor | LHNCBC HHSN276201500692P; NIH ; NLM |
Free, Available for download | SCR_016215 | SciCrunch Registry | Semantic Segmentation with Adversarial Learning (SegAN), Semantic Segmentation with Adversarial Learning, SegAN: Semantic Segmentation with Adversarial Learning | 2026-10-24 12:50:00 | 4 | |||||||||
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Mouse Connectome Project Resource Report Resource Website |
Mouse Connectome Project (RRID:SCR_017313) | MCP | data or information resource, portal, project portal | Project to create complete mesoscale connectivity atlas of the C57Black/6 mouse brain and to subsequently generate its global neural networks. | mesoscale, connectivity, atlas, C57Black/6, mouse, brain, neural, network |
is used by: BICCN has parent organization: University of Southern California; Los Angeles; USA |
NIH | Free, Freely available | SCR_017313 | SciCrunch Registry | The Mouse Connectome Project, Mouse Connectome Project | 2026-10-24 12:50:03 | 0 | |||||||
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Nonhuman Primate Reference Transcriptome Resource Resource Report Resource Website 10+ mentions |
Nonhuman Primate Reference Transcriptome Resource (RRID:SCR_017534) | NHPRTR | data or information resource, portal, project portal | Nonhuman Primate reference transcriptome resource consisting of deep sequencing complete transcriptomes (RNA-seq) from multiple NHP species. | Nonhuman, primate, reference, transcriptome, deep, sequencing, RNAseq, data, species | NIH | Free, Freely available | SCR_017534 | SciCrunch Registry | Nonhuman Primate Reference Transcriptome Resource | 2026-10-24 12:50:04 | 12 | ||||||||
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Molecular Signatures Database Resource Report Resource Website 1000+ mentions |
Molecular Signatures Database (RRID:SCR_016863) | MSigDB | data or information resource, database | Collection of annotated gene sets for use with Gene Set Enrichment Analysis (GSEA) software. | collection, annotated, gene, set, GSEA, enrichment, analysis, genome, RNA, expression, data, FASEB list, DRKB |
uses: GSEA uses: Gene Set Enrichment Analysis has parent organization: Broad Institute |
NCI CA295532; NIGMS ; NIH |
Free, Freely available, Registration required to download GSEA software | https://www.gsea-msigdb.org/gsea/msigdb/ | SCR_016863 | SciCrunch Registry | Molecular Signatures Database, The Molecular Signatures Database, MSigDB, MSigDB database v6.2 | 2026-10-24 12:51:12 | 1702 | ||||||
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vhlab-microscopyimageanalysis-matlab Resource Report Resource Website 1+ mentions |
vhlab-microscopyimageanalysis-matlab (RRID:SCR_024450) | software application, software resource, source code | Software Matlab app for analysis of high density imaging data like that from Array Tomography. | Matlab, array tomography, super-resolution imaging, high density imaging data, high density imaging data analysis, | NIH | Free, Available for download, Freely available | SCR_024450 | SciCrunch Registry | 2026-10-24 12:51:16 | 1 | ||||||||||
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Bio-Synthesis Resource Report Resource Website 100+ mentions |
Bio-Synthesis (RRID:SCR_000820) | biomaterial supply resource, material resource | A commercial supplier of custom synthetic molecules. They specialize in peptides, oligonucleotides, bioconjugation, molecular biology services, proteins and specialty chemistry. | antibody, synthetic molecule, peptides, oligonucleotide, bioconjugation, protein | is listed by: ScienceExchange | NIH 263-00050713-01 | nlx_152297, SciEx_516 | SCR_000820 | SciCrunch Registry | Bio-Synthesis Inc. | 2026-10-24 12:51:17 | 167 | ||||||||
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Midas Platform Resource Report Resource Website 10+ mentions |
Midas Platform (RRID:SCR_002186) | Midas | data management software, software application, software resource, software toolkit | Open-source toolkit that enables the rapid creation of tailored, web-enabled data storage and provides a cohesive system for data management, visualization, and processing. At its core, Midas Platform is implemented as a PHP modular framework with a backend database (PostGreSQL, MySQL and non-relational databases). While the Midas Platform system can be installed and deployed without any customization, the framework has been designed with customization in mind. As building one system to fit all is not optimal, the framework has been extended to support plugins and layouts. Through integration with a range of other open-source toolkits, applications, or internal proprietary workflows, Midas Platform offers a solid foundation to meet the needs of data-centric computing. Midas Platform provides a variety of data access methods, including web, file system and DICOM server interfaces, and facilitates extending the methods in which data is stored to other relational and non-relational databases. | data storage, data analysis, visualization, multimedia, digital archiving, processing | has parent organization: Kitware | NLM ; NIH ; NCI |
PMID:18560078 | Apache License, v2, Simplified BSD License, BSD License | nlx_154696 | SCR_002186 | SciCrunch Registry | Midas Platform - The Multimedia Digital Archiving System | 2026-10-24 12:51:20 | 45 | |||||
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Biospecimens/Biorepositories: Rare Disease-HUB (RD-HUB) Resource Report Resource Website |
Biospecimens/Biorepositories: Rare Disease-HUB (RD-HUB) (RRID:SCR_004327) | RD-HUB | biomaterial supply resource, material resource | A database of biospecimens collected, stored, and distributed by biorepositories in the United States and around the globe. Its goals are: To help and assist interested parties and investigators search, locate, and identify desired biospecimens needed for their research; to facilitate collaboration and sharing of material and data among investigators across the globe; to accelerate research to facilitate the discovery of new treatments, therapeutics and eventually cures for rare diseases as well as common diseases; to identify, locate and increase the awareness of existing biorepositories across the globe; and to link the RD-HUB with the Global Rare Diseases Patient Registry and Data Repository (GRDR). | rare disease, disease, public |
lists: NIDDK Central Repository lists: National Disease Research Interchange is listed by: NIH Data Sharing Repositories is listed by: One Mind Biospecimen Bank Listing is listed by: Accelerated Cure Project MS Repository is listed by: Cooperative Human Tissue Network Western Division at Vanderbilt University Medical Center is listed by: NIDDK Information Network (dkNET) is related to: GRDR has parent organization: Office of Rare Diseases Research |
Rare disease, Aging | NIH | PMID:20609392 | Public, The community can contribute to this resource | nlx_143682 | http://biospecimens.ordr.info.nih.gov/ | SCR_004327 | SciCrunch Registry | Biospecimens / Biorepositories: Rare Disease-HUB, Biospecimens/Biorepositories: Rare Disease-HUB, Rare Disease-HUB | 2026-10-24 12:51:25 | 0 | |||
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USIDNET DNA and Cell Repository Resource Report Resource Website |
USIDNET DNA and Cell Repository (RRID:SCR_004661) | USIDNET Repository | biomaterial supply resource, material resource | The USIDNET DNA and Cell Repository has been established as part of an NIH-funded program - the US Immunodeficiency Network - to provide a resource of DNA and functional lymphoid cells obtained from patients with various primary immunodeficiency diseases. These uncommon disorders include patients with defects in T cell, B cell and/or granulocyte function as well as patients with abnormalities in antibodies / immunoglobulins, complement and other host defense mechanisms. All samples in this Repository have been de-identified to protect the privacy of the individual donors. The USIDNET also operates a Patient Data Registry in addition to this Repository and certain clinical data relating to a specific sample may be available through the Registry for some of the patient samples in the Repository collection. Materials in the collection are being made available at modest cost to qualified investigators in academic and commercial organizations in an effort to stimulate research to increase understanding of these orphan diseases and to promote development of new treatments. Requestors are required to complete a Statement of Research Intent briefly describing their proposed use of materials obtained from the Repository and must sign an Assurance agreeing to conditions established by USIDNET for distribution of samples from its collection. Requestors wishing to obtain additional clinical data specific to individual samples in the Repository collection must make a separate application for that information to the Registry (see www.usidnet.org) Physicians or Patients wishing to submit cell samples for the Repository collection should first contact Coriell to arrange for the Repository to send them the correct sample collection tubes as well as prepaid mailers for returning the collected sample(s) to Coriell. Separate collection and shipping procedures may be involved depending on how many samples are to be shipped at one time and whether the shipment will involve freshly obtained blood or already established cell lines. | clinical data, dna, functional lymphoid cell, cell, lymphoid cell, blood, cell line, immunodeficiency disease, primary immunodeficiency disease |
is listed by: One Mind Biospecimen Bank Listing has parent organization: Coriell Cell Repositories has parent organization: USIDNET: US Immunodeficiency Network |
Immunodeficiency disease | NIH | PMID:32880085 PMID:24711005 |
Public: Materials in the collection are being made available at modest cost to qualified investigators in academic and commercial organizations in an effort to stimulate research to increase understanding of these orphan diseases and to promote development of new treatments. | nlx_143858 | SCR_004661 | SciCrunch Registry | US Immunodeficiency Network DNA Cell Repository, US Immunodeficiency Network DNA and Cell Repository, USIDNET DNA Cell Repository, US Immunodeficiency Network Repository | 2026-10-24 12:51:26 | 0 | ||||
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KI Biobank - TwinGene Resource Report Resource Website 10+ mentions |
KI Biobank - TwinGene (RRID:SCR_006006) | TwinGene | biomaterial supply resource, material resource | In collaboration with GenomeEUtwin, the TwinGene project investigates the importance of quantitative trait loci and environmental factors for cardiovascular disease. It is well known that genetic factors are of considerable importance for some familial lipid syndromes and that Type A Behavior pattern and increased lipid levels infer increased risk for cardiovascular disease. It is furthermore known that genetic factors are of importance levels of blood lipid biomarkers. The interplay of genetic and environmental effects for these risk factors in a normal population is less well understood and virtually unknown for the elderly. In the TwinGene project twins born before 1958 are contacted to participate. Health and medication data are collected from self-reported questionnaires, and blood sampling material is mailed to the subject who then contacts a local health care center for blood sampling and a health check-up. In the simple health check-up, height, weight, circumference of waist and hip, and blood pressure are measured. Blood is sampled for DNA extraction, serum collection and clinical chemistry tests of C-reactive protein, total cholesterol, triglycerides, HDL and LDL cholesterol, apolipo��protein A1 and B, glucose and HbA1C. The TwinGene cohort contains more than 10000 of the expected final number of 16000 individuals. Molecular genetic techniques are being used to identify Quantitative Trait Loci (QTLs) for cardiovascular disease and biomarkers in the TwinGene participants. Genome-wide linkage and association studies are ongoing. DZ twins have been genome-scanned with 1000 STS markers and a subset of 300 MZ twins have been genome-scanned with Illumina 317K SNP platform. Association of positional candidate SNPs arising from these genomscans are planned. The TwinGene project is associated with the large European collaboration denoted GenomEUtwin (www.genomeutwin.org, see below) which since 2002 has aimed at gathering genetic data on twins in Europe and setting up the infrastructure needed to enable pooling of data and joint analyses. It has been the funding source for obtaining the genome scan data. Types of samples: * EDTA whole blood * DNA * Serum Number of sample donors: 12 044 (sample collection completed) | quantitative trait loci, environmental factor, cardiovascular disease, environment, genetic, gene, lipid syndrome, lipid, health, medication, questionnaire, c-reactive protein, total cholesterol, triglyceride, hdl, ldl, cholesterol, apolipo-protein a1, apolipo-protein b, glucose, hba1c, genome-wide linkage study, genome-wide association study, genome |
is listed by: One Mind Biospecimen Bank Listing is related to: GenomEUtwin is related to: Swedish Twin Registry has parent organization: Karolisnka Biobank |
Twin | NIH ; European Union ; VR ; SSF |
nlx_151387 | http://ki.se/ki/jsp/polopoly.jsp?d=29354&a=31600&l=en | SCR_006006 | SciCrunch Registry | 2026-10-24 12:51:27 | 19 | ||||||
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LONI MiND Resource Report Resource Website |
LONI MiND (RRID:SCR_004820) | MiND | service resource, software resource | The MiND: Metadata in NIfTI for DWI framework enables data sharing and software interoperability for diffusion-weighted MRI. This site provides specification details, tools, and examples of the MiND mechanism for representing important metadata for DWI data sets at various stages of post-processing. MiND framework provides a practical solution to the problem of interoperability between DWI analysis tools, and it effectively expands the analysis options available to end users. To assist both users and developers in working with MiND-formatted files, we provide a number of software tools for download. * MiNDHeader A utility for inspecting MiND-extended files. * I/O Libraries Programming libraries to simplify writing and parsing MiND-formatted data. * Sample Files Example files for each MiND schema. * DIRAC LONI''s Diffusion Imaging Reconstruction and Analysis Collection is a DWI processing suite which utilizes the MiND framework. | diffusion magnetic resonance imaging, metadata, dwi, dti, software interoperability, data sharing | has parent organization: David Geffen School of Medicine at UCLA; California; USA | NIH ; NCRR ; NIMH ; NCRR 1U54RR021813-01; NIGMS 5T32GM008042-25; NCRR P41 RR013642; NIMH R01 MH71940; NIBIB EB008432; NIBIB EB008281; NIBIB EB007813; NICHD HD050735 |
PMID:20206274 | nlx_143920 | http://mind.loni.ucla.edu/ | SCR_004820 | SciCrunch Registry | MiND: Metadata in NIfTI for DWI, Metadata in NIfTI for DWI | 2026-10-24 12:51:25 | 0 | |||||
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Calculator for Association with Two Stage design Resource Report Resource Website 100+ mentions |
Calculator for Association with Two Stage design (RRID:SCR_007238) | CaTS | software application, software resource | Software tool for carrying out power calculations for large genetic association studies, including two stage genome wide association studies. | Calculator, genetic association, genetic association studies, two stage genome wide association studies, | has parent organization: University of Michigan; Ann Arbor; USA | NIH | Free, Freely available | nlx_154258, SCR_009139, nif-0000-30278 | SCR_007238 | SciCrunch Registry | CATS, power Calculator for Association with Two Stage design | 2026-10-24 12:51:29 | 310 | ||||||
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neurospy Resource Report Resource Website |
neurospy (RRID:SCR_007016) | neurospy | software resource, source code | neurospy is a free software for functional imaging of fast neuronal activity. neurospy is a modular cross-platform application framework written in Java for the NetBeans Platform. At this time it runs on Windows XP-based LeCroy oscilloscopes and drives acousto-optic scanners via USB using the Analog Devices 9959 Direct Digital Synthesis chip. This combination makes one of the most powerful systems for scanning microscopy available today at any price. neurospy is very easy to port to other kinds of acquisition and scanning hardware. | imaging, neuron, microscopy, functional imaging, java, neuronal activity |
has parent organization: SourceForge has parent organization: Howard Hughes Medical Institute has parent organization: Salk Institute for Biological Studies has parent organization: University of California at San Diego; California; USA |
Howard Hughes Medical Institute ; NIH |
PMID:17684546 | Open unspecified license | nlx_149367 | SCR_007016 | SciCrunch Registry | 2026-10-24 12:52:10 | 0 | ||||||
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Dockground: Benchmarks, Docoys, Templates, and other knowledge resources for DOCKING Resource Report Resource Website 1+ mentions |
Dockground: Benchmarks, Docoys, Templates, and other knowledge resources for DOCKING (RRID:SCR_007412) | data or information resource, data set | Data sets, tools and computational techniques for modeling of protein interactions, including docking benchmarks, docking decoys and docking templates. Adequate computational techniques for modeling of protein interactions are important because of the growing number of known protein 3D structures, particularly in the context of structural genomics. The first release of the DOCKGROUND resource (Douguet et al., Bioinformatics 2006; 22:2612-2618) implemented a comprehensive database of cocrystallized (bound) protein-protein complexes in a relational database of annotated structures. Additional releases added features to the set of bound structures, such as regularly updated downloadable datasets: automatically generated nonredundant set, built according to most common criteria, and a manually curated set that includes only biological nonobligate complexes along with a number of additional useful characteristics. Also included are unbound (experimental and simulated) protein-protein complexes. Complexes from the bound dataset are used to identify crystallized unbound analogs. If such analogs do not exist, the unbound structures are simulated by rotamer library optimization. Thus, the database contains comprehensive sets of complexes suitable for large scale benchmarking of docking algorithms. Advanced methodologies for simulating unbound conformations are being explored for the next release. The Dockground project is developed by the Vakser lab at the Center for Bioinformatics at the University of Kansas. Parts of Dockground were co-developed by Dominique Douguet from the Center of Structural Biochemistry (INSERM U554 - CNRS UMR5048), Montpellier, France. | protein 3d structure, protein interaction, protein interface, protein model, structural genomics, co-crystallized, protein complex, protein recognition, protein modeling, structure prediction, protein-protein complex, benchmark |
is listed by: 3DVC is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: University of Kansas; Kansas; USA |
NIH ; NIGMS R01 GM074255; NIGMS R01 GM61889 |
PMID:17803215 PMID:16928732 |
nif-0000-02757 | SCR_007412 | SciCrunch Registry | Dockground, Dockground: Benchmarks Docoys Templates other knowledge resources for DOCKING, Dockground: Benchmarks Docoys Templates and other knowledge resources for DOCKING | 2026-10-24 12:52:10 | 8 | |||||||
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KI Biobank - HARMONY Resource Report Resource Website 1+ mentions |
KI Biobank - HARMONY (RRID:SCR_008884) | HARMONY | biomaterial supply resource, material resource | A twin study characterizing the importance of genetic factors for dementia and using discordant twin pairs to study other putative risk factors which control for genetic propensity to develop the disease. Molecular genetic studies have identified a number of mutations and other markers associated with early age of onset Alzheimer''''s disease. However, most cases of late age of onset dementia are considered sporadic, that is, without a clear genetic basis. Twin studies provide a unique opportunity to characterize the importance of genetic factors for dementia. Discordant twin pairs additionally provide the opportunity to study other putative risk factors which controlling for genetic propensity to develop the disease. In the first wave of the Study of Dementia in Swedish Twins, all SATSA twins born before 1935 have been screened for dementia symptoms. Over 190 suspects have been identified. This pilot study has been expanded to the entire registry in the study known as HARMONY. All twins aged 65 and older were invited to participate in a computer assisted telephone screening interview. A total of 13,519 individuals completed the interview (response rate = 75.9%). Dementia screening was based on the TELE, which includes the 10-item MSQ, other cognitive items (counting backwards, recalling three words, and similarities), and questions about health and daily functioning; or on Blessed scores obtained from a proxy interview. Among those screened, 1565 were positive for suspicion of dementia and were referred for complete clinical evaluation by a physician and a nurse. Once the preliminary in-person evaluation suggested that the suspected case was demented, the twin partner was also invited for an identical clinical work-up. Response rate for clinical evaluations is 71.4%. Approximately half of those visited for evaluation have been diagnosed as demented according to DSM-IV criteria, of which two-thirds have Alzheimer''''s disease. An extensive assessment of probable risk exposure is also included. Longitudinal follow-up is yet another feature of the study. Association studies with candidate genes are also being performed. Types of samples * DNA Number of sample donors * 1154 (sample collection completed) | interview, late adult human, clinical evaluation, association study, candidate gene, gene, risk factor, twin, longitudinal |
is listed by: One Mind Biospecimen Bank Listing is related to: Swedish Twin Registry is related to: KI Biobank - SATSA has parent organization: Karolisnka Biobank |
Dementia, Alzheimer''''s disease, Discordant twin, Aging | NIH | nlx_151298 | http://ki.se/en/meb/dementia-in-swedish-twins-harmony | SCR_008884 | SciCrunch Registry | Dementia in Swedish Twins (HARMONY) | 2026-10-24 12:51:33 | 2 | |||||
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Roadmap Resource Report Resource Website 10+ mentions |
Roadmap (RRID:SCR_017207) | software application, software resource | Software tool to display surface of macromolecule and its properties. Uses projections to map van der Waals or solvent accessible surface of macromolecule onto plane., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | Display, surface, macromolecule, property, projection, van der Waal | is related to: Purdue University; West Lafayette; Indiana | Medical Research Council ; NIH ; NSF |
PMID:8384042 | THIS RESOURCE IS NO LONGER IN SERVICE | SCR_017207 | SciCrunch Registry | 2026-10-24 12:51:48 | 14 | ||||||||
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Conservation Resource Report Resource Website 1000+ mentions |
Conservation (RRID:SCR_016064) | software application, software resource, software toolkit | Software for scoring protein sequence conservation using the Jensen-Shannon divergence. It can be used to predict catalytic sites and residues near bound ligands. | scoring, protein, sequence, conservation, Jensen-Shannon, divergence, predict, catalytic, site, bound, ligands, clustal, fasta, concave | is related to: Princeton University; New Jersey; USA | NIGMS GM076275; NIH P50 GM071508; NIH T32 HG003284; NSF IIS-0612231; NSF PECASE MCB-0093399 |
PMID:17519246 | Free, Available for download | SCR_016064 | SciCrunch Registry | Conservation-code | 2026-10-24 12:51:47 | 1606 | |||||||
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METAGENOTE Resource Report Resource Website 1+ mentions |
METAGENOTE (RRID:SCR_018494) | data access protocol, software resource, web service | Quick and intuitive way to annotate data from genomics studies including microbiome. Project to aid researchers in applying standardized metadata describing what, where, how, and when of samples collected in genomics study. Collection of METAdata of GEnomics studies on web based NOTEbook. Metadata are stored in centralized repository and validated according to guidelines from Genomics Standard Consortium, which are also supported by repositories and large microbiome initiatives such as NCBI, European Bioinformatics Institute (EBI), and Earth Microbiome Project. Upon request from researchers, data will also be submitted for publication via NCBI Sequence Read Archive (SRA) repository. | Annotate data, genomics study, microbiome, metadata, genomics, data |
is related to: NCBI Sequence Read Archive (SRA) is related to: NCBI |
NIH | Free, Freely available | SCR_018494 | SciCrunch Registry | METAdata of GEnomics studies on a web based NOTEbook | 2026-10-24 12:49:15 | 1 | ||||||||
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REDCap Resource Report Resource Website 10000+ mentions |
REDCap (RRID:SCR_003445) | REDCap | software resource, web application | Web application that allows users to build and manage online surveys and databases. Using REDCap's stream-lined process for rapidly developing projects, you may create and design projects using 1) the online method from your web browser using the Online Designer; and/or 2) the offline method by constructing a "data dictionary" template file in Microsoft Excel, which can be later uploaded into REDCap. Both surveys and databases (or a mixture of the two) can be built using these methods. REDCap provides audit trails for tracking data manipulation and user activity, as well as automated export procedures for seamless data downloads to Excel, PDF, and common statistical packages (SPSS, SAS, Stata, R). Also included are a built-in project calendar, a scheduling module, ad hoc reporting tools, and advanced features, such as branching logic, file uploading, and calculated fields. REDCap has a quick and easy software installation process, so that you can get REDCap running and fully functional in a matter of minutes. Several language translations have already been compiled for REDCap (e.g. Chinese, French, German, Portuguese), and it is anticipated that other languages will be available in full versions of REDCap soon. The REDCap Shared Library is a repository for REDCap data collection instruments and forms that can be downloaded and used by researchers at REDCap partner institutions. | online survey, survey, database, translational research, informatics, workflow, clinical research, clinical, metadata, biomedical, online form, data capture, management, analysis, data sharing, data collection, data standard, best practice, data collection instrument, electronic data capture |
is listed by: Biositemaps is listed by: SoftCite is related to: Clinical and Translational Science Awards Consortium has parent organization: Vanderbilt University; Tennessee; USA works with: redcap-completion works with: aux-file-upload |
NIH ; UL1 RR029882 ; UL1 TR000062 ; UL1 RR026314 ; UL1 TR000077 ; UL1 RR024975 ; UL1 TR000445 ; G12 RR003051 ; G12 MD007600 ; UL1 RR024150 ; UL1 TR000135 ; R24 HD042849 ; UL1 RR024989 ; UL1 TR000439 |
PMID:23149159 PMID:18929686 |
Software is available at no cost for REDCap Consortium Partners. If not in the consortium, See the Become a Partner page to find more information about joining our group. | nif-0000-33254 | SCR_003445 | SciCrunch Registry | RED Cap, Research Electronic Data Capture, The REDCap Consortium | 2026-10-24 12:49:27 | 23733 | |||||
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TeamTat Resource Report Resource Website 1+ mentions |
TeamTat (RRID:SCR_023439) | software resource, web application | Web based collaborative text annotation tool. Used for managing multi-user, multi-label document annotation. Project managers can specify annotation schema for entities and relations and select annotators and distribute documents anonymously to prevent bias. Document input format can be plain text, PDF or BioC (uploaded locally or automatically retrieved from PubMed/PMC), and output format is BioC with inline annotations. Displays figures from full text. | Text annotation, team collaboration, collaborative text annotation, | MSIT ; NIH |
PMID:32383756 | Free, Freely available | https://github.com/ncbi-nlp/TeamTat | SCR_023439 | SciCrunch Registry | 2026-10-24 12:49:31 | 3 |
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
