Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Collaboratory of AIDS Researchers for Eradciation (CARE) Resource Report Resource Website |
Collaboratory of AIDS Researchers for Eradciation (CARE) (RRID:SCR_013681) | CARE | data or information resource, organization portal, consortium, portal | The Collaboratory of AIDS Researchers for Eradication (CARE) is a consortium of scientific experts in the field of HIV latency from several U.S. and European academic research institutions as well as Merck Research Laboratories working together to find a cure for HIV. | AIDS, HIV, drug development, data-sharing enabler, |
is related to: University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA is related to: Gladstone Institute of Neurological Disease is related to: UCSF School of Medicine; California; USA is related to: Case Western Reserve University; Ohio; USA is related to: Merck is related to: UC Davis School of Medicine; California; USA is related to: University of California at San Diego; California; USA is related to: University of Utah School of Medicine; Utah; USA is related to: University of Minnesota Twin Cities; Minnesota; USA |
NIAID ; NIMH |
SCR_013681 | 2026-07-28 09:43:17 | 0 | |||||||||
|
Immune Tolerance Network TrialShare Resource Report Resource Website 10+ mentions |
Immune Tolerance Network TrialShare (RRID:SCR_013699) | ITN TrialShare, TrialShare | service resource, data or information resource, data repository, clinical trial, storage service resource | Immune tolerance data management and visualization portal for studies sponsored by Immune Tolerance Network (ITN) and collaborating investigators. Data from published studies are accessible to any user; data from current in-progress studies are accessible to study investigators and collaborators. Includes links to published Figures, tools for visualization and analysis of data, and ability to query study data by subject, group, or any other study parameter. | clinical trial, clinical data, biological specimens, |
is recommended by: National Library of Medicine is related to: Immune Tolerance Network (ITN) |
Type 1 diabetes, Diabetes, Allergy, Asthma, Autoimmune disease, Transplantation, Immunological disorder | NIAID | Restricted | https://www.itntrialshare.org/login/home/login.view?returnUrl=%2Fproject%2Fhome%2Fstart.view%3F | SCR_013699 | , ITN, TrialShare, Trial Share, Immune Tolerance Network | 2026-07-28 09:43:37 | 27 | |||||
|
VDJ Server Resource Report Resource Website 10+ mentions |
VDJ Server (RRID:SCR_014356) | software application, web application, data analysis software, software resource, data processing software, collaboration tool | A web application immune repertoire management, analysis, and archiving. Users can collaborate and share data either privately or publicly. Users can perform a variety of tasks, such as create and share projects with other users, conduct pre-processing tasks on single end reads, run IgBlast, and obtain basic repertoire characterization results for B cell receptor and T cell receptor repertoires. | omics data, web application, scalable resource, immune repertoire |
has parent organization: University of Texas Southwestern Medical Center; Texas; USA has parent organization: J. Craig Venter Institute has parent organization: Yale University; Connecticut; USA |
NIAID 1R01A1097403 | Free, Open source analysis software is available for local use | http://wiki.vdjserver.org/vdjserver/index.php/VDJServer_Wiki | SCR_014356 | VDJServer | 2026-07-28 09:43:25 | 16 | |||||||
|
Pathosystems Resource Integration Center Resource Report Resource Website 1000+ mentions |
Pathosystems Resource Integration Center (RRID:SCR_004154) | PATRIC | service resource, data or information resource, data analysis service, database, production service resource, analysis service resource, bioinformatics resource center | A Bioinformatics Resource Center bacterial bioinformatics database and analysis resource that provides researchers with an online resource that stores and integrates a variety of data types (e.g. genomics, transcriptomics, protein-protein interactions (PPIs), three-dimensional protein structures and sequence typing data) and associated metadata. Datatypes are summarized for individual genomes and across taxonomic levels. All genomes, currently more than 10 000, are consistently annotated using RAST, the Rapid Annotations using Subsystems Technology. Summaries of different data types are also provided for individual genes, where comparisons of different annotations are available, and also include available transcriptomic data. PATRIC provides a variety of ways for researchers to find data of interest and a private workspace where they can store both genomic and gene associations, and their own private data. Both private and public data can be analyzed together using a suite of tools to perform comparative genomic or transcriptomic analysis. PATRIC also includes integrated information related to disease and PPIs. The PATRIC project includes three primary collaborators: the University of Chicago, the University of Manchester, and New City Media. The University of Chicago is providing genome annotations and a PATRIC end-user genome annotation service using their Rapid Annotation using Subsystem Technology (RAST) system. The National Centre for Text Mining (NaCTeM) at the University of Manchester is providing literature-based text mining capability and service. New City Media is providing assistance in website interface development. An FTP server and download tool are available. | genomics, genome, transcriptomics, protein-protein interaction, sequence typing, proteobacteria, brucella, rickettsia, coxiella, coronavirus, calicivirus, lyssavirus, virus, hepatitis a, hepatitis e, pathway, proteome, metabolic pathway, drug, vaccine, diagnostics, FASEB list |
is listed by: OMICtools has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
NIAID | PMID:24225323 PMID:17142235 |
Free, Public, Acknowledgement requested | r3d100010142, OMICS_01658, nlx_17476 | http://patricbrc.vbi.vt.edu/portal/portal/patric/Home, https://doi.org/10.17616/R3WS3X | http://patric.vbi.vt.edu/ | SCR_004154 | PathoSystems Resource Integration Center, PATRIC, Pathosystems Resource Integration Center | 2026-07-28 09:40:53 | 1083 | |||
|
HCV Databases Resource Report Resource Website 50+ mentions |
HCV Databases (RRID:SCR_002863) | HCV Databases | disease-related portal, data or information resource, topical portal, portal | The Hepatitis C Virus (HCV) Database Project strives to present HCV-associated genetic and immunologic data in a user-friendly way, by providing access to the central database via web-accessible search interfaces and supplying a number of analysis tools. | hcv, hepatitis c virus, hepatitis c, database, data analysis service, sequence, immunology, annotation, FASEB list |
has parent organization: HIV Databases is parent organization of: HCV Sequence Database is parent organization of: HCV Immunology Database |
Hepatitis C | NIAID | Free, Freely available | nif-0000-02944 | SCR_002863 | Hepatitis C Virus Database, Hepatitis C Virus Database Project, HCV Database, Hepatitis C Virus Databases, Hepatitis C Virus (HCV) Database Project | 2026-07-28 09:40:41 | 66 | |||||
|
PaVE Resource Report Resource Website 100+ mentions |
PaVE (RRID:SCR_016599) | PaVE | service resource, web application, data or information resource, data analysis service, database, software resource, production service resource, analysis service resource | Collection of curated papillomavirus genomic sequences, accompanied by web-based sequence analysis tools. Database and web applications support the storage, annotation, analysis, and exchange of information. | data, curated, papilloma, virus, genomic, sequence, analysis, storage, annotation, FASEB list | is listed by: NIAID | NIAID ZIA AI001071 | PMID:28053164 | Open source | SCR_016599 | PapillomaVirus Episteme, Papillomavirus Episteme | 2026-07-28 09:44:18 | 125 | ||||||
|
HASP Resource Report Resource Website |
HASP (RRID:SCR_016615) | HASP | software application, data or information resource, database, software resource, data processing software, data visualization software | Web server to visualize phylogenetic, biochemical, and immunological hemagglutinin data in the three-dimensional context of homology models. Database and structural visualization platform for comparative models of influenza A hemagglutinin proteins. | structural, visualization, phylogenetic, biochemical, immunological, hemagglutinin, data, 3D, |
is listed by: NIAID is listed by: NIDDK Information Network (dkNET) |
NIAID | DOI:10.1186/1471-2105-14-197 | Free, Freely available | SCR_016615 | HemAgglutinin Structure Prediction, Hemagglutinin Structure Prediction | 2026-07-28 09:44:19 | 0 | ||||||
|
Phenograph Resource Report Resource Website 100+ mentions |
Phenograph (RRID:SCR_016919) | PhenoGraph | software application, software resource, data analysis software, data processing software | Software tool as clustering method designed for high dimensional single cell data. Algorithmically defines phenotypes in high dimensional single cell data. Used for large scale analysis of single cell heterogeneity. | high, dimention, single, cell, data, phenotype, analysis, heterogeneity |
uses: Python Programming Language is related to: Rphenograph |
NIGMS R00 GM104148; NICHD DP1 HD084071; NCI R01 CA164729; NCI U54 CA121852; NCI R01 CA130826; NCI U54 CA143907; US Department of Health and Human Services HHSN272200700038C; NIH N01 HV00242; NCI P01 CA034233; NIAID U19 AI057229; NCI U54 CA149145; US FDA HHSF223201210194C; US DOD W81XWH1210591; Entertainment Industry Foundation ; Rachford and Carlota Harris Endowed Professorship ; CIRM DR1 01477; CIRM RB201592; Stand Up To Cancer Phillip A. Sharp Award SU2CAACRPS04; Packard Fellowship for Science and Engineering ; NIH Office of the Director DP2 OD002414 |
PMID:26095251 | Free, Available for download, Freely available | https://github.com/JinmiaoChenLab/Rphenograph | https://github.com/jacoblevine/PhenoGraph | SCR_016919 | 2026-07-28 09:44:26 | 213 | |||||
|
CheckMyMetal Resource Report Resource Website 1+ mentions |
CheckMyMetal (RRID:SCR_016887) | CMM | software resource, data access protocol, web service | Metal binding site validation server. Used for systematic inspection of the metal-binding architectures in macromolecular structures. The validation parameters that CMM examines cover the entire binding environment of the metal ion, including the position, charge and type of atoms and residues surrounding the metal. | metal, binging, site, validation, server, systematic, inspection, macromolecular, structure, ion, charge, position, atom | NIGMS GM117325; NHGRI HG008424; NIAID HHSN272201200026C |
PMID:28291757 | Free, Freely available | SCR_016887 | 2026-07-28 09:44:25 | 5 | ||||||||
|
ImmuneDB Resource Report Resource Website 1+ mentions |
ImmuneDB (RRID:SCR_017125) | service resource, data or information resource, data analysis service, database, production service resource, analysis service resource | Software system for storing and analyzing high throughput B and T cell immune receptor sequencing data. Comprised of web interface and of Python analysis tools to process raw reads for gene usage, infer clones, aggregate data, and run downstream analyses, or in conjunction with other AIRR tools using its import and export features. | collect, store, analysis, B cell, T cell, immune, receptor, sequencing, data, process, raw, read | is used by: AIRR Data Commons | NIAID P01 AI106697; NIAID P30 AI0450080; NIDDK UC4 DK112217; NCI P30 CA016520 |
PMID:30298069 | Free, Available for download, Freely available | https://github.com/arosenfeld/immunedb | SCR_017125 | 2026-07-28 09:44:31 | 8 | |||||||
|
immuneXpresso Resource Report Resource Website |
immuneXpresso (RRID:SCR_017578) | software application, service resource, data or information resource, software resource, text-mining software | Software tool as text-mining engine that structures and standardizes knowledge of immune intercellular communication. Knowledgebase contains interactions and separate mentions of cells or cytokines in context of thousands of diseases. Intercellular interactions were text-mined from all available PubMed abstracts across disease conditions. | Structure, standardize, immune, cellular, interaction, cytokine, disease, cell, PubMed, abstract |
is listed by: NIDDK Information Network (dkNET) is listed by: OMICtools |
NIH ; NIAID ; Rappaport Family Institute for Research in the Medical Sciences |
PMID:29912209 | Free, Freely available | SCR_017578 | 2026-07-28 09:44:35 | 0 | ||||||||
|
Database of Immune Cell Epigenomes Resource Report Resource Website 50+ mentions |
Database of Immune Cell Epigenomes (RRID:SCR_018259) | DICE | data or information resource, database, data access protocol, software resource, web service | Database of Immune Cell Expression, Expression quantitative trait loci (eQTLs) and Epigenomics. Collection of identified cis-eQTLs for 12,254 unique genes, which represent 61% of all protein-coding genes expressed in human cell types. Datasets to help reveal effects of disease risk associated genetic polymorphisms on specific immune cell types, providing mechanistic insights into how they might influence pathogenesis. | Data set, immune cell expression, expression quantitative trait loci, epigenomics, data, cis-eQLC, gene, protein coding gene, human cell type, genetic polymorphism disease, immune cell, pathogenesis | has parent organization: La Jolla Institute for Immunology | William K. Bowes Jr Foundation ; NIAID R24 AI108564; NCRR S10 RR027366; NIH Office of the Director S10 OD016262 |
PMID:30449622 | Free, Freely available | SCR_018259 | Database of Immune Cell Expression, Expression quantitative trait loci (eQTLs) and Epigenomics | 2026-07-28 09:44:39 | 59 | ||||||
|
outbreak.info Resource Report Resource Website 100+ mentions |
outbreak.info (RRID:SCR_018282) | data or information resource, topical portal, portal | Resource to aggregate all outbreak information into single location during outbreaks of emerging diseases, such as COVID-19. | COVID-19 data collection, single location, outbreak information, emerging disease |
is listed by: Data and Computational Resources to Address COVID-19 has parent organization: Scripps Research Institute |
COVID-19 | NIAID | Free, Freely available | SCR_018282 | 2026-07-28 09:44:43 | 113 | ||||||||
|
TimeZone Resource Report Resource Website 1+ mentions |
TimeZone (RRID:SCR_018564) | software application, software resource, data analysis software, data processing software | Software package to detect footprints of positive selection for functionally adaptive point mutations in microbial genomes. | Detect footprint, positive selection, functionally adaptive, point mutation, microbial genome | NIGMS R01 GM084318; NIAID RC4 AI092828 |
PMID:23471110 | Free, Available for download, Freely available | SCR_018564 | 2026-07-28 09:44:46 | 1 | |||||||||
|
EpiModel Resource Report Resource Website 1+ mentions |
EpiModel (RRID:SCR_018539) | software application, data analysis software, software resource, data processing software, software toolkit | Software R package for mathematical modeling of infectious disease over networks. Provides tools for simulating and analyzing mathematical models of infectious disease dynamics. Mathematical Modeling of Infectious Disease Dynamics. | Infectious disease, mathematical modeling, simulation, analysis, infectious disease dynamic, bio.tools |
is listed by: Debian is listed by: bio.tools |
NICHD R01 HD068395; NIMH R21 MH112449; NICHD R21 HD075662; NIDA P30 DA027828; NIAID P30 AI050409; NIAID P30 AI027757; NICHD T32 HD007543 |
PMID:29731699 | Free, Available for download, Freely available | biotools:epimodel | https://bio.tools/epimodel | SCR_018539 | 2026-07-28 09:44:46 | 7 | ||||||
|
GOnet Resource Report Resource Website 1+ mentions |
GOnet (RRID:SCR_018977) | service resource, software resource, data access protocol, web service | Web tool for interactive Gene Ontology analysis of any biological data sources resulting in gene or protein lists. | Gene Ontology, interactive analysis, data, gene, protein, gene list, protein list, analysis, bio.tools |
is listed by: Debian is listed by: bio.tools works with: Gene Ontology |
NIH Common Fund ; NIGMS ; NHGRI R24 HG010032; NIAID U19 AI118610; NIAID U19 AI118626 |
PMID:30526489 | biotools:GOnet | https://github.com/mikpom/gonet, https://bio.tools/GOnet | SCR_018977 | 2026-07-28 09:45:02 | 3 | |||||||
|
NMPDR Resource Report Resource Website 1+ mentions |
NMPDR (RRID:SCR_007821) | NMPDR | service resource, data or information resource, data analysis service, database, production service resource, analysis service resource | The National Microbial Pathogen Data Resource provides curated annotations in an environment for comparative analysis of genomes and biological subsystems, with an emphasis on the food-borne pathogens Campylobacter, Listeria, Staphylococcus, Streptococcus, and Vibrio; as well as the STD pathogens Chlamydiaceae, Haemophilus, Mycoplasma, Neisseria, Treponema, and Ureaplasma. This edition of the NMPDR includes 47 archaeal, 725 bacterial, and 29 eukaryal genomes with 3,257,100 genetic features, of which 1,338,895 are in FIGfams curated using 616 active subsystems. ''''''Notice to NMPDR Users'''''' - The NMPDR BRC contract ended in December 2009. At that time we ceased maintenance of the NMPDR web resource and data. Bacterial data from NMPDR has been transferred to PATRIC (http://www.patricbrc.org), a new consolidated BRC for all NIAID category A-C priority pathogenic bacteria. NMPDR was a collaboration among researchers from the Computation Institute of the University of Chicago, the Fellowship for Interpretation of Genomes (FIG), Argonne National Laboratory, and the National Center for Supercomputing Applications (NCSA) at the University of Illinois. | has parent organization: University of Chicago; Illinois; USA | NIAID contract HHSN266200400042C | PMID:17145713 | nif-0000-03193 | http://www.nmpdr.org | SCR_007821 | NMPDR - National Microbial Pathogen Data Resource, National Microbial Pathogen Data Resource, NMPDR BRC, NMPDR Bioinformatics Resource Center | 2026-07-28 09:41:54 | 3 | ||||||
|
ERIC Resource Report Resource Website 500+ mentions |
ERIC (RRID:SCR_007644) | ERIC | service resource, data or information resource, data analysis service, database, production service resource, analysis service resource | ERIC is a resource of annotated enterobacterial genomes. Information is available and accessed through a open web portal uniting biological data and analysis tools. ERIC contains information on Escherichia, Shigella, Salmonella, Yersinia, and other microorgansims. ERIC has recently been moved over to PATRIC: The PATRIC BRC is now responsible for all bacterial species in the NIAID Category A-C Priority Pathogen lists for biodefense research, and pathogens causing emerging/reemerging infectious diseases. For ERIC users, we understand that the resource was valuable to your work. As such, we will be doing our very best to create a useful PATRIC resource to continue supporting your work. We realize that the transition will cause disruptions. However, it is a priority for us to work with established BRC users and communities to identify and prioritize our transition efforts. We have concentrated on the transfer of genomic data for this initial release. We anticipate adding new data, tools, and website features over the next several months. We look forward to working with you during the next 5 years., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | enterobacteria, enterobacteria pathogen, biodefense, disease bioinformatics, human disease, pathogen, pathogenic bacteria, cronobacter, enterobacter, erwinia, klebsiella, pectobacterium, photorhabdus, proteus, serratia, escherichia, shigella, salmonella, yersinia, citrobacter, FASEB list | has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA | NIAID | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02813 | http://www.ericbrc.org | SCR_007644 | Enteropathogen Resource Integration Center (ERIC), Enteropathogen Resource Integration Center | 2026-07-28 09:42:08 | 950 | |||||
|
Macaque.org Resource Report Resource Website 1+ mentions |
Macaque.org (RRID:SCR_002767) | Macaque.org | research forum portal, disease-related portal, data or information resource, organization portal, laboratory portal, topical portal, portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on June 8, 2020.Macaque genomic and proteomic resources and how they are providing important new dimensions to research using macaque models of infectious disease. The research encompasses a number of viruses that pose global threats to human health, including influenza, HIV, and SARS-associated coronavirus. By combining macaque infection models with gene expression and protein abundance profiling, they are uncovering exciting new insights into the multitude of molecular and cellular events that occur in response to virus infection. A better understanding of these events may provide the basis for innovative antiviral therapies and improvements to vaccine development strategies. | genomic, hiv, infection, proteomic, virus, simian immunodeficiency virus, influenza virus, animal model | has parent organization: University of Washington; Seattle; USA | Viral infection, Infectious disease | NCRR ; NIAID ; NHLBI ; NIDA |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-24370 | SCR_002767 | Macaque.org | 2026-07-28 09:40:31 | 3 | |||||
|
miniTUBA Resource Report Resource Website |
miniTUBA (RRID:SCR_003447) | miniTUBA | analysis service resource, service resource, storage service resource, production service resource | miniTUBA is a web-based modeling system that allows clinical and biomedical researchers to perform complex medical/clinical inference and prediction using dynamic Bayesian network analysis with temporal datasets. The software allows users to choose different analysis parameters (e.g. Markov lags and prior topology), and continuously update their data and refine their results. miniTUBA can make temporal predictions to suggest interventions based on an automated learning process pipeline using all data provided. Preliminary tests using synthetic data and laboratory research data indicate that miniTUBA accurately identifies regulatory network structures from temporal data. miniTUBA represents in a network view possible influences that occur between time varying variables in your dataset. For these networks of influence, miniTUBA predicts time courses of disease progression or response to therapies. minTUBA offers a probabilistic framework that is suitable for medical inference in datasets that are noisy. It conducts simulations and learning processes for predictive outcomes. The DBN analysis conducted by miniTUBA describes from variables that you specify how multiple measures at different time points in various variables influence each other. The DBN analysis then finds the probability of the model that best fits the data. A DBN analysis runs every combination of all the data; it examines a large space of possible relationships between variables, including linear, non-linear, and multi-state relationships; and it creates chains of causation, suggesting a sequence of events required to produce a particular outcome. Such chains of causation networks - are difficult to extract using other machine learning techniques. DBN then scores the resulting networks and ranks them in terms of how much structured information they contain compared to all possible models of the data. Models that fit well have higher scores. Output of a miniTUBA analysis provides the ten top-scoring networks of interacting influences that may be predictive of both disease progression and the impact of clinical interventions and probability tables for interpreting results. The DBN analysis that miniTUBA provides is especially good for biomedical experiments or clinical studies in which you collect data different time intervals. Applications of miniTUBA to biomedical problems include analyses of biomarkers and clinical datasets and other cases described on the miniTUBA website. To run a DBN with miniTUBA, you can set a number of parameters and constrain results by modifying structural priors (i.e. forcing or forbidding certain connections so that direction of influence reflects actual biological relationships). You can specify how to group variables into bins for analysis (called discretizing) and set the DBN execution time. You can also set and re-set the time lag to use in the analysis between the start of an event and the observation of its effect, and you can select to analyze only particular subsets of variables. | analysis, analyze, bayesian, causation, clinical, linear, medical, structure, temporal, network analysis, network, molecule, information refining, gene expression regulation, bioinformatics, statistical package, interaction network, prediction, pathway, inference, biomedical, intervention |
is listed by: Biositemaps has parent organization: National Center for Integrative Biomedical Informatics has parent organization: University of Michigan; Ann Arbor; USA |
Society of University Surgeons Foundation ; NIDA U54DA021519; NIAID 1R21AI057875-01; NIGMS K08 GM074678-01A1 |
PMID:17644819 | Free, Freely available | nif-0000-33272 | SCR_003447 | miniTUBA - Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool, Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool, Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool (miniTUBA), The Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool | 2026-07-28 09:40:48 | 0 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the T1D Resources search. From here you can search through a compilation of resources used by T1D and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that T1D has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on T1D then you can log in from here to get additional features in T1D such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into T1D you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
