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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Collaboratory of AIDS Researchers for Eradciation (CARE) Resource Report Resource Website |
Collaboratory of AIDS Researchers for Eradciation (CARE) (RRID:SCR_013681) | CARE | consortium, organization portal, data or information resource, 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 | 2026-08-03 09:35:18 | 0 | |||||||||
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Immune Tolerance Network TrialShare Resource Report Resource Website 10+ mentions |
Immune Tolerance Network TrialShare (RRID:SCR_013699) | ITN TrialShare, TrialShare | data repository, data or information resource, storage service resource, clinical trial, 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 | 2026-08-03 09:35:30 | 27 | |||||
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Type 1 Diabetes Genetics Consortium Resource Report Resource Website 1+ mentions |
Type 1 Diabetes Genetics Consortium (RRID:SCR_001557) | T1DGC | portal, disease-related portal, resource, topical portal, research forum portal, data or information resource | Data and biological samples were collected by this consortium organizing international efforts to identify genes that determine an individual risk of type 1 diabetes. It originally focused on recruiting families with at least two siblings (brothers and/or sisters) who have type 1 diabetes (affected sibling pair or ASP families). The T1DGC completed enrollment for these families in August 2009. They completed enrollment of trios (father, mother, and a child with type 1 diabetes), as well as cases (people with type 1 diabetes) and controls (people with no history of type 1 diabetes) from populations with a low prevalence of this disease in January 2010. T1DGC Data and Samples: Phenotypic and genotypic data as well as biological samples (DNA, serum and plasma) for T1DGC participants have been deposited in the NIDDKCentral Repositories for future research. | gene, genetics, genotyping, analytic, dna, serum, plasma, data set, biomaterial supply resource, phenotypic, genotypic, autoantibody, hla, phenotype, genotype |
is listed by: One Mind Biospecimen Bank Listing is listed by: NIDDK Information Network (dkNET) is listed by: NIDDK Central Repository |
Type 1 diabetes, Diabetes | NIDDK ; NIAID ; NHGRI ; JDRF |
PMID:17130525 | Free, Freely available | nlx_152867 | SCR_001557 | Type 1 Diabetes Genetics Consortium (T1DGC) | 2026-08-03 09:31:22 | 2 | ||||
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Immune Tolerance Network (ITN) Resource Report Resource Website 10+ mentions |
Immune Tolerance Network (ITN) (RRID:SCR_001535) | ITN | portal, funding resource, topical portal, clinical trial, data or information resource | International clinical research consortium dedicated to the clinical evaluation of novel tolerogenic approaches for the treatment of autoimmune diseases, asthma and allergic diseases, and the prevention of graft rejection. They aim to advance the clinical application of immune tolerance by performing high quality clinical trials of emerging therapeutics integrated with mechanism-based research. In particular, they aim to: * Establish new tolerance therapeutics * Develop a better understanding of the mechanisms of immune function and disease pathogenesis * Identify new biomarkers of tolerance and disease Their goals are to identify and develop treatment game changers for tolerance modulating therapies for the treatment of immune mediated diseases and disabling conditions, and to conduct high quality, innovative clinical trials and mechanistic studies not likely to be funded by other sources or to be conducted by private industry that advance our understanding of immunological disorders. In the Immune Tolerance Network's (ITN) unique hybrid academic/industry model, the areas of academia, government and industry are integral to planning and conducting clinical studies. They develop and fund clinical trials and mechanistic studies in partnership. Their development model is a unique, interactive process. It capitalizes on their wide-ranging, multidisciplinary expertise provided by an advisory board of highly respected faculty from institutions worldwide. This model gives investigators special insight into developing high quality research studies. The ITN is comprised of leading scientific and medical faculty from more than 50 institutions in nine countries worldwide and employs over 80 full-time staff at the University of California San Francisco (UCSF), Bethesda, Maryland and Benaroya Research Institute in Seattle, Washington. | immune tolerance, prevent, cure, disease, multiple sclerosis, therapy, biomarker, transplant |
is listed by: NIDDK Information Network (dkNET) is listed by: NIDDK Research Resources is related to: Immune Tolerance Network TrialShare has parent organization: Benaroya Research Institute |
Type 1 diabetes, Diabetes, Allergy, Asthma, Autoimmune disease, Transplantation, Immunological disorder | NIAID N01AI15416 | nlx_152838 | SCR_001535 | 2026-08-03 09:31:25 | 14 | |||||||
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ASPGD Resource Report Resource Website 100+ mentions |
ASPGD (RRID:SCR_002047) | ASPGD, ASPGD LOCUS, ASPGD REF | data repository, data or information resource, database, storage service resource, service resource | Database of genetic and molecular biological information about the filamentous fungi of the genus Aspergillus including information about genes and proteins of Aspergillus nidulans and Aspergillus fumigatus; descriptions and classifications of their biological roles, molecular functions, and subcellular localizations; gene, protein, and chromosome sequence information; tools for analysis and comparison of sequences; and links to literature information; as well as a multispecies comparative genomics browser tool (Sybil) for exploration of orthology and synteny across multiple sequenced Sgenus species. Also available are Gene Ontology (GO) and community resources. Based on the Candida Genome Database, the Aspergillus Genome Database is a resource for genomic sequence data and gene and protein information for Aspergilli. Among its many species, the genus contains an excellent model organism (A. nidulans, or its teleomorph Emericella nidulans), an important pathogen of the immunocompromised (A. fumigatus), an agriculturally important toxin producer (A. flavus), and two species used in industrial processes (A. niger and A. oryzae). Search options allow you to: *Search AspGD database using keywords. *Find chromosomal features that match specific properties or annotations. *Find AspGD web pages using keywords located on the page. *Find information on one gene from many databases. *Search for keywords related to a phenotype (e.g., conidiation), an allele (such as veA1), or an experimental condition (e.g., light). Analysis and Tools allow you to: *Find similarities between a sequence of interest and Aspergillus DNA or protein sequences. *Display and analyze an Aspergillus sequence (or other sequence) in many ways. *Navigate the chromosomes set. View nucleotide and protein sequence. *Find short DNA/protein sequence matches in Aspergillus. *Design sequencing and PCR primers for Aspergillus or other input sequences. *Display the restriction map for a Aspergillus or other input sequence. *Find similarities between a sequence of interest and fungal nucleotide or protein sequences. AspGD welcomes data submissions. | function, gene, gene name, annotation, aspergillus, aspergillus nidulans, chromosome, community, dna, genome, genomic, localization, orthology, phenotype, protein, protein-coding genes, s. cerevisiae, sequence, allele, data analysis service, bio.tools, FASEB list |
is used by: NIF Data Federation is listed by: bio.tools is listed by: Debian is related to: Candida Genome Database is related to: AmiGO has parent organization: Stanford University School of Medicine; California; USA has parent organization: Broad Institute |
NIAID R01 AI077599 | PMID:19773420 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-12244, biotools:aspgd | http://www.aspergillusgenome.org/, https://bio.tools/aspgd | SCR_002047 | Aspergillus Genome Database, ASPGD REF, ASPGD LOCUS | 2026-08-03 09:31:42 | 212 | ||||
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Stanford Genomics Service Center Core Facility Resource Report Resource Website 10+ mentions |
Stanford Genomics Service Center Core Facility (RRID:SCR_002050) | SFGF, | service resource, access service resource, core facility | Stanford Genomics formerly Stanford Functional Genomics Facility provides services for high throughput sequencing, single cell assays, gene expression and genotyping studies utilizing microarray and real time PCR, and related services. High throughput sequencing (Illumina HiSeq 4000, NextSeq 500, MiSeq and MiniSeq), microarray gene expression and genotyping services (Affymetrix, Agilent and Illumina). Provides 24/7 access to instruments, equipment and software utilized within genomics field. | ABRF, Stanford Genomics, genomics, high throughput sequencing, single cell assays, gene expression, genotyping, microarray, real time PCR, |
is listed by: ABRF CoreMarketplace has parent organization: Stanford University; Stanford; California |
NIAID ; Comprehensive Cancer Center |
Open | SCR_008627, ABRF_200, nif-0000-31997, nif-0000-12246 | https://coremarketplace.org/?FacilityID=200&citation=1 | http://www.microarray.org/sfgf/ | SCR_002050 | Stanford Medicine Stanford Functional Genomics Facility, Stanford University Functional Genomics Core Facility, Stanford Functional Genomics Facility, Stanford Genomics, Stanford Genomics Service Center, Stanford School of Medicine Stanford Functional Genomics Facility | 2026-08-03 09:31:42 | 10 | ||||
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Cinteny Resource Report Resource Website 10+ mentions |
Cinteny (RRID:SCR_002147) | data or information resource, software resource, database, web application | Online database for finding and analyzing syntenic regions across multiple genomes and measuring the extent of genome rearrangement using reversal distance as a measure. | syntenic genes, genome rearrangement, online genome database | is listed by: OMICtools | NIAID R21 AI055338; NIAMS R01 AR050688 |
PMID:17343765 | Free, Freely available | OMICS_00931 | SCR_002147 | Cinteny Server for Synteny Identification and Analysis of Genome Rearrangement | 2026-08-03 09:31:34 | 17 | ||||||
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Macaque.org Resource Report Resource Website 1+ mentions |
Macaque.org (RRID:SCR_002767) | Macaque.org | organization portal, laboratory portal, portal, disease-related portal, topical portal, research forum portal, data or information resource | 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 | 2026-08-03 09:32:00 | 3 | |||||
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Clinical Islet Transplantation Consortium (CITC) Resource Report Resource Website 1+ mentions |
Clinical Islet Transplantation Consortium (CITC) (RRID:SCR_014385) | CITC, CIT | access service resource, service resource | Network of clinical centers and a data coordinating center established to conduct studies of islet transplantation in patients with type 1 diabetes. | type 1 diabetes, consortium, network, islet transplantation, clinical |
is listed by: NIDDK Information Network (dkNET) is listed by: NIDDK Research Resources is listed by: Diabetes Research Centers |
Type 1 diabetes, Diabetes | NIDDK U01 DK070431; NIAID |
SCR_014385 | Clinical Islet Transplantation Consortium | 2026-08-03 09:35:42 | 1 | |||||||
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VDJ Server Resource Report Resource Website 10+ mentions |
VDJ Server (RRID:SCR_014356) | software application, data processing software, collaboration tool, web application, data analysis software, software resource | 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 | 2026-08-03 09:35:37 | 16 | |||||||
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RAST Server Resource Report Resource Website 500+ mentions |
RAST Server (RRID:SCR_014606) | RAST | service resource, production service resource | A SEED-quality automated service that annotates complete or nearly complete bacterial and archaeal genomes across the entire phylogenetic tree. RAST can also be used to analyze draft genomes. | microbiome, seed, annotate, genome, bacteria, archaea, service, bio.tools |
is listed by: Human Microbiome Project is listed by: Debian is listed by: bio.tools |
National Science Foundation 0850546; NIAID contract HHSN272200900040C |
PMID:18261238 | Free for the scientific community, Login required | biotools:theseed | https://bio.tools/theseed | SCR_014606 | Rapid Annotation using Subsystem Technology, Rapid Annotation using Subsystem Technology Server | 2026-08-03 09:35:33 | 907 | ||||
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Clinical Trials in Organ Transplantation (CTOT) Resource Report Resource Website 1+ mentions |
Clinical Trials in Organ Transplantation (CTOT) (RRID:SCR_015859) | CTOT | organization portal, portal, consortium, data or information resource, project portal | Project portal for a cooperative research program to improve short and long-term graft and patient survival. CTOT is an investigative consortium for conducting clinical and associated mechanistic studies that will lead to improved outcomes for transplant recipients. | graft, graft patient, patient survival, clinical study, transplant, transplant recipient, mechanistic study |
is listed by: NIDDK Information Network (dkNET) is listed by: Diabetes Research Centers is related to: Clinical Trials in Organ Transplantation in Children (CTOT-C) |
NIAID UM2 AI117870 | Public, Available to the scientific community | SCR_015859 | Clinical Trials in Organ Transplantation | 2026-08-03 09:36:14 | 1 | |||||||
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Clinical Trials in Organ Transplantation in Children (CTOT-C) Resource Report Resource Website 1+ mentions |
Clinical Trials in Organ Transplantation in Children (CTOT-C) (RRID:SCR_015860) | CTOT-C | organization portal, portal, consortium, data or information resource, project portal | Project portal for a cooperative research program sponsored by the National Institute of Allergy and Infectious Diseases (NIAID). CTOT-C is an investigative consortium for conducting clinical and associated mechanistic studies that will lead to improved outcomes for pediatric heart, lung, or kidney transplant recipients. | heart, kidney, lung, pediatric, cooperative research program, niaid, clinical study, mechanistic study, transplant |
is listed by: NIDDK Information Network (dkNET) is related to: Clinical Trials in Organ Transplantation (CTOT) |
NIAID UM2 AI117870 | Public, Available to the scientific community | SCR_015860 | NIAID Clinical Trials in Organ Transplantation in Children, Clinical Trials in Organ Transplantation in Children, NIAID CTOT-C | 2026-08-03 09:36:28 | 1 | |||||||
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Center for Expanded Data Annotation and Retrieval Resource Report Resource Website 1+ mentions |
Center for Expanded Data Annotation and Retrieval (RRID:SCR_016269) | CEDAR | organization portal, portal, ontology, controlled vocabulary, data or information resource | Develops information technologies that make authoring complete metadata more manageable. Its products aim to facilitate using the metadata in further research.Center to improve metadata and its use throughout biomedical sciences. Develops information technologies that make authoring complete metadata more manageable through better interfaces, terminology, metadata practices, and analytics. Optimizes metadata pathway from provider to end user. Provides way for funders to specify what metadata they want to collect as part of research life cycle. | Metadata, interface, metadata practice, analytics, metadata pathway, funded research, data repository, data collection, |
is related to: Stanford University; Stanford; California is related to: Yale University; Connecticut; USA is related to: University of Oxford; Oxford; United Kingdom has parent organization: Stanford Center for Biomedical Informatics Research is parent organization of: CEDAR Workbench |
NIAID U54 AI117925 | SCR_018150 | https://more.metadatacenter.org/ | SCR_016269 | 2026-08-03 09:36:41 | 4 | |||||||
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PaVE Resource Report Resource Website 100+ mentions |
PaVE (RRID:SCR_016599) | PaVE | production service resource, data analysis service, service resource, database, web application, analysis service resource, data or information resource, software 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 | 2026-08-03 09:36:30 | 125 | ||||||
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HASP Resource Report Resource Website |
HASP (RRID:SCR_016615) | HASP | database, software application, data processing software, data or information resource, software resource, 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 | 2026-08-03 09:36:25 | 0 | ||||||
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Fungal Genome Initiative Resource Report Resource Website 10+ mentions |
Fungal Genome Initiative (RRID:SCR_003169) | FGI | data or information resource, data set | Produces and analyzes sequence data from fungal organisms that are important to medicine, agriculture and industry. The FGI is a partnership between the Broad Institute and the wider fungal research community, with the selection of target genomes governed by a steering committee of fungal scientists. Organisms are selected for sequencing as part of a cohesive strategy that considers the value of data from each organism, given their role in basic research, health, agriculture and industry, as well as their value in comparative genomics. | sequence, fungi, gene annotation, genome |
is listed by: 3DVC has parent organization: Broad Institute |
NHGRI ; NSF ; NIAID ; USDA |
Free, Freely available | nif-0000-30591 | SCR_003169 | 2026-08-03 09:32:13 | 18 | |||||||
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miniTUBA Resource Report Resource Website |
miniTUBA (RRID:SCR_003447) | miniTUBA | service resource, analysis 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 | 2026-08-03 09:32:23 | 0 | |||||
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AnoBase: An Anopheles database Resource Report Resource Website 1+ mentions |
AnoBase: An Anopheles database (RRID:SCR_008166) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on November 22, 2023. A database containing genomic/biological information on anopheline mosquitoes, with an emphasis on Anopheles gambiae, the world''''s most important malaria vector. AnoBase is an integrated, relational database of basic biological and genetic data on anopheline species, with a particular emphasis on Anopheles gambiae. It has been designed as an information source and research support tool for the broad vector biology community. Although AnoBase is not a primary genomic database that develops and provides tools to access the genome of the malaria mosquito, it nevertheless contains several sections that offer data of genomic interest such as in situ hybridization images, an integrated gene tool and direct online access to AnoXcel, the proteomic database of An. gambiae. Moreover, AnoBase also contains information on non-gambiae mosquito species and a novel section on studies related to insecticide resistance. | gene, genetic, anopheles gambiae, anopheline, biological, biology, community, genomic, in-situ hybridization, insecticide, invertebrate databases, malaria, mosquito, proteomic, specie, vector, image |
is related to: VectorBase has parent organization: Foundation for Research and Technology-Hellas; Heraklion; Greece is parent organization of: Malaria Ontology |
NIAID | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21031 | http://www.anobase.org/ | SCR_008166 | AnoBase | 2026-08-03 09:33:54 | 2 | ||||||
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bNAber Resource Report Resource Website 1+ mentions |
bNAber (RRID:SCR_010510) | bNAber | data or information resource, database | bNAber is the Broadly Neutralizing Antibody E-Resource Database, analysis, visualization, and data discovery tool for broadly neutralizing HIV-1 antibodies (bNAbs). bNAber seeks to be a vital tool in the search for an AIDS vaccine. | sanford burnham medical research institute, hiv, aids | is related to: CHAVI-ID | HIV, AIDS | NIAID UM1AI100663; NIGMS R01GM101457 |
nlx_158732 | SCR_010510 | 2026-08-03 09:34:30 | 7 |
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