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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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SPICE Resource Report Resource Website 50+ mentions |
SPICE (RRID:SCR_016603) | SPICE | data processing software, data analysis software, software resource, software application, data visualization software | Software application for data mining and visualization. Used for analyzes of large FLOWJO data sets from polychromatic flow cytometry and organizing the normalized data graphically. | data, mining, visualization, analysis, polychromatic, flow, cytometry, dataset, normalized, graphically, bio.tools |
is listed by: NIAID is listed by: Debian is listed by: bio.tools |
NIAID ; NIH |
PMID:21265010 | Free, Available for download, Freely available | biotools:spice | https://bio.tools/spice | SCR_016603 | Simplified Presentation of Incredibly Complex Evaluations | 2026-08-04 09:43:56 | 66 | ||||
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HIV Sequence Database Resource Report Resource Website 100+ mentions |
HIV Sequence Database (RRID:SCR_002906) | HIV Sequence Database | data analysis service, analysis service resource, production service resource, service resource, database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4, 2023. HIV Sequence Database is a database of annotated HIV sequences, plus a variety of tools and information for researchers studying HIV and SIV. The main aim of this website is to provide easy access to our sequence database, alignments, and the tools and interfaces we have produced. The HIV Sequence Database focuses on five primary goals: * Collecting HIV and SIV sequence data (all sequences since 1987) * Curating and annotating this data, and making it available to the scientific community * Computer analysis of HIV and related sequences * Production of software for the analysis of (sequence) data * The data and analyses on this site and published in a yearly printed publication, the HIV sequence Compendium, which is available free of charge. | drug resistance, genetics, mutation, vaccine, human immunodeficiency virus, siv, sequence, alignment, simian immunodeficiency virus, FASEB list | has parent organization: HIV Databases | Human immunodeficiency virus, Simian immunodeficiency virus | NIAID | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02967 | SCR_002906 | 2026-08-04 09:40:46 | 108 | ||||||
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Weighted Gene Co-expression Network Analysis Resource Report Resource Website 1000+ mentions |
Weighted Gene Co-expression Network Analysis (RRID:SCR_003302) | WGCNA | data processing software, software application, software resource, data analysis software | Software R package for weighted correlation network analysis. WGCNA is also available as point-and-click application. Unfortunately this application is not maintained anymore. It is known to have compatibility problems with R-2.8.x and newer, and the methods it implements are not all state of the art., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, co-expression, analysis, network, bio.tools, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: University of California at Los Angeles; California; USA |
NCI P50CA092131; NIDA 1R01DA030913-01; NIDCR R01DE019255; NIAID U19 AI063603-01 |
PMID:19114008 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31889, biotools:crosslinkwgcna | http://labs.genetics.ucla.edu/horvath/htdocs/CoexpressionNetwork/Rpackages/WGCNA/#citation, https://bio.tools/crosslinkwgcna | SCR_003302 | WGCNA: an R package for weighted correlation network analysis | 2026-08-04 09:40:52 | 1860 | ||||
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HIV Databases Resource Report Resource Website 100+ mentions |
HIV Databases (RRID:SCR_000614) | software resource, database, data or information resource | Contains comprehensive data on HIV genetic sequences and immunological epitopes. This collection of databases contains tools to visualize and analyze HIV-related data. | HIV, AIDS, HIV genetic sequences and immunological epitopes data, tools to visualize and analyze HIV-related data, FASEB list |
has parent organization: Los Alamos National Laboratory is parent organization of: Nonhuman Primate HIV/SIV Vaccine Trials Database is parent organization of: HCV Databases is parent organization of: HIV Molecular Immunology Database is parent organization of: HIV Sequence Database is parent organization of: HFV Database |
HIV, AIDS, SIV | NIAID | SCR_014940, nlx_151409 | SCR_000614 | 2026-08-04 09:40:11 | 495 | ||||||||
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Human Immunology Project Consortium Resource Report Resource Website 10+ mentions |
Human Immunology Project Consortium (RRID:SCR_001491) | HIPC | portal, organization portal, data or information resource, consortium | Consortium established to capitalize on recent advances in immune profiling methods in order to create a novel public resource that characterizes diverse states of the human immune system following infection; prior to and following vaccination against an infectious disease; or prior to and following treatment with an immune adjuvant that targets a known innate immune receptor(s). Through this program, well-characterized human cohorts are studied using a variety of modern analytic tools, including multiplex transcriptional, cytokine, and proteomic assays; multiparameter phenotyping of leukocyte subsets; assessment of leukocyte functional status; and multiple computational methods. Centralized research resources and a comprehensive, centralized database will be constructed for use by the greater scientific community. The information gained from the program will provide a comprehensive understanding of the human immune system and its regulation, and will reveal novel associations between components of the immune system and other biological systems, identify novel immune mediators and pathways, establish predictors of vaccine safety in different populations, and enable the rapid evaluation of different vaccine formulations and administration regimens in human populations. | immune profiling, immune system, infection, vaccine, infectious disease, immune adjuvant, immune receptor, multiplex assay, phenotyping, systems biology, mass spectrometry, regulation, mediator, pathway, database, leukocyte, transcriptome, proteome | is parent organization of: ImmuneSpace | Infection, Vaccination, Treatment with immune adjuvant | NIAID | Free, Freely available | SciRes_000173 | SCR_001491 | immune profiling, immuneprofiling.org | 2026-08-04 09:40:24 | 17 | |||||
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MassQL Resource Report Resource Website 1+ mentions |
MassQL (RRID:SCR_025106) | software resource, source code | Software application for universal searching of Mass Spectrometry data. Open source MS query language for flexible and mass spectrometer manufacturer-independent mining of MS data. Implements common MS terminology to build consensus vocabulary to search for MS patterns in single mass spectrometry run. Enables set of mass spectrometry patterns to be queried directly from raw data. | Mass Spectrometry data searching, mass spectrometry data, mining of MS data, common MS terminology, mass spectrometry patterns, raw data query, | NIGMS R01 GM125943; NIGMS R01 GM107550; NIGMS R35 GM128690; NIAID R21 AI156669; NIAID R15 AI137996; NSF ; Burroughs Wellcome Fund ; University of Michigan ; National Research Foundation of Korea ; German Research Foundation ; Swedish Research Council ; Ministry of Innovative Development of the Republic of Uzbekistan ; German Ministry for Education and Research ; Horizon 2020 programme of the European Union ; Czech Science Foundation ; U.S. Department of Energy Joint Genome Institute ; National Cancer Center Research and Development Fund ; AMED Japan Program for Infectious Diseases Research and Infrastructure ; Novo Nordisk Foundation ; Denmark ; Betty and Gordon Moore Foundation |
DOI:10.1101/2022.08.06.503000 | Free, Available for download, Freely available | https://pypi.org/project/massql/ | SCR_025106 | Mass Spec Query Language | 2026-08-03 09:39:00 | 1 | |||||||
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drug perturbation Gene Set Enrichment Analysis Resource Report Resource Website 1+ mentions |
drug perturbation Gene Set Enrichment Analysis (RRID:SCR_025351) | dpGSEA | software resource, source code | Software tool to detect phenotypically relevant drug targets through unique transcriptomic enrichment that emphasizes biological directionality of drug-derived gene sets. Exploratory tool to screen for possible drug targeting molecules. | detect phenotypically relevant drug targets, drug-derived gene sets, transcriptomic enrichment, | NHLBI T32HL007567; NIAID P30AI036219 |
DOI:10.1186/s12859-020-03929-0 | Free, Available for download, Freely available | SCR_025351 | 2026-08-03 09:38:43 | 1 | ||||||||
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Mixed effects association testing for single cells Resource Report Resource Website 1+ mentions |
Mixed effects association testing for single cells (RRID:SCR_025632) | MASC | software resource, source code | Software tool for testing whether specified covariate influences membership of single cells in any of multiple cellular subsets while accounting for technical confounds and biological variation. | specified covariate, influences membership, single cells, multiple cellular subsets, accounting for technical confounds and biological variation, | NIAMSD UH2AR067677; NIAID U19AI111224; NIAMSD 1R01AR063759; NIAMSD R01 AR064850; Doris Duke Charitable Foundation ; NIAMSD T32 AR007530; William Docken Inflammatory Autoimmune Disease Fund ; Ruth L. Kirschstein National Research Service Award ; Rheumatology Research Foundation Tobe and Stephen Malawista |
PMID:30333237 | SCR_025632 | , Mixed-effects modeling of Associations of Single Cells, Mixed-effects Association testing for Single Cells | 2026-08-03 09:38:35 | 2 | ||||||||
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DAVID Resource Report Resource Website 10000+ mentions |
DAVID (RRID:SCR_001881) | DAVID | web service, software resource, data access protocol, database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. Bioinformatics resource system including web server and web service for functional annotation and enrichment analyses of gene lists. Consists of comprehensive knowledgebase and set of functional analysis tools. Includes gene centered database integrating heterogeneous gene annotation resources to facilitate high throughput gene functional analysis. | functional domain, annotation, motif, protein, ontology enrichment, gene, high-throughput, functional classification, functional annotation, clustering, genome, pathway, gene-disease association, interaction, functional domain, motif, visualization, FASEB list |
is listed by: OMICtools is listed by: 3DVC is listed by: LabWorm is listed by: SoftCite is related to: Gene Ontology is related to: BioCarta Pathways is related to: KEGG has parent organization: NCI-Frederick |
NIAID NO1-CO-56000; NCI |
PMID:19131956 PMID:12734009 PMID:35325185 PMID:22543366 PMID:17980028 PMID:17576678 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30408, nif-0000-10451, OMICS_02220, SCR_003033 | http://david.abcc.ncifcrf.gov/ | SCR_001881 | DAVID Bioinformatics Resources, Visualization and Integrated Discovery Bioinformatics Resources, Database for Annotation Visualization and Integrated Discovery, The Database for Annotation, The Database for Annotation Visualization and Integrated Discovery Bioinformatics Resources | 2026-08-04 09:40:29 | 18488 | ||||
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microbeMASST Resource Report Resource Website 1+ mentions |
microbeMASST (RRID:SCR_024713) | data access protocol, software resource, web service | Web taxonomically informed mass spectrometry search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging database of over 60,000 microbial monocultures, users can search known and unknown MS/MS spectra and link them to their respective microbial producers via MS/MS fragmentation patterns. | Identification of microbial derived metabolites, microbial metabolomics data, microbial metabolite annotation, taxonomy, mass spectrometry search tool, searching tool, bacteria, fungi, metabolomics, microbiome, search known and unknown MS/MS spectra, | is related to: GNPS MASST | NIDDK U24DK133658; NIA U19AG063744; NIGMS 1DP2GM137413; Korean Government ; Austrian Science Fund ; German Research Foundation ; Sao Paulo Research Foundation ; Mexican National Council of Science and Technology ; NIGMS R01GM107550; NSF ; Research Council of Norway ; NIAID R01AI167860; NIDDK T32DK007202; NIGMS 1R01GM132649; NIGMS R35GM142938; NIDDK U01DK119702; NIH Office of the Director S10 OD021750; NLM 1R01LM013115 |
PMID:37577622 | Free, Freely available, | SCR_024713 | 2026-08-04 09:45:35 | 6 | ||||||||
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Dynamic Regulatory Events Miner Resource Report Resource Website 1+ mentions |
Dynamic Regulatory Events Miner (RRID:SCR_003080) | DREM | data processing software, software application, software resource | The Dynamic Regulatory Events Miner (DREM) allows one to model, analyze, and visualize transcriptional gene regulation dynamics. The method of DREM takes as input time series gene expression data and static transcription factor-gene interaction data (e.g. ChIP-chip data), and produces as output a dynamic regulatory map. The dynamic regulatory map highlights major bifurcation events in the time series expression data and transcription factors potentially responsible for them. DREM 2.0 was released and supports a number of new features including: * new static binding data for mouse, human, D. melanogaster, A. thaliana * a new and more flexible implementation of the IOHMM supports dynamic binding data for each time point or as a mix of static/dynamic TF input * expression levels of TFs can be used to improve the models learned by DREM * the motif finder DECOD can be used in conjuction with DREM and help find DNA motifs for unannotated splits * new features for the visualization of expressed TFs, dragging boxes in the model view, and switching between representations | transcription, gene regulation, dynamics, time series, gene expression, static, dynamic, transcription factor-gene interaction, chip-chip, transcription factor, regulatory network, hidden markov model, systems biology, gene regulatory network, times series expression data, dynamic network, chip-seq | has parent organization: Carnegie Mellon University; Pennsylvania; USA | NIH ; NIGMS 1RO1 GM085022; NIAID DNO1 AI-5001; NSF 0448453 |
PMID:22897824 | Free, Available for download, Freely available | nif-0000-30478 | SCR_003080 | Dynamic Regulatory Events Miner (DREM) | 2026-08-04 09:40:48 | 5 | |||||
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Sequencing of Idd regions in the NOD mouse genome Resource Report Resource Website 1+ mentions |
Sequencing of Idd regions in the NOD mouse genome (RRID:SCR_001483) | Sequencing of Idd regions in the NOD mouse genome | resource, data set, data or information resource | Genetic variations associated with type 1 diabetes identified by sequencing regions of the non-obese diabetic (NOD) mouse genome and comparing them with the same areas of a diabetes-resistant C57BL/6J reference mouse allowing identification of single nucleotide polymorphisms (SNPs) or other genomic variations putatively associated with diabetes in mice. Finished clones from the targeted insulin-dependent diabetes (Idd) candidate regions are displayed in the NOD clone sequence section of the website, where they can be downloaded either as individual clone sequences or larger contigs that make up the accession golden path (AGP). All sequences are publicly available via the International Nucleotide Sequence Database Collaboration. Two NOD mouse BAC libraries were constructed and the BAC ends sequenced. Clones from the DIL NOD BAC library constructed by RIKEN Genomic Sciences Centre (Japan) in conjunction with the Diabetes and Inflammation Laboratory (DIL) (University of Cambridge) from the NOD/MrkTac mouse strain are designated DIL. Clones from the CHORI-29 NOD BAC library constructed by Pieter de Jong (Children's Hospital, Oakland, California, USA) from the NOD/ShiLtJ mouse strain are designated CHORI-29. All NOD mouse BAC end-sequences have been submitted to the International Nucleotide Sequence Database Consortium (INSDC), deposited in the NCBI trace archive. They have generated a clone map from these two libraries by mapping the BAC end-sequences to the latest assembly of the C57BL/6J mouse reference genome sequence. These BAC end-sequence alignments can then be visualized in the Ensembl mouse genome browser where the alignments of both NOD BAC libraries can be accessed through the Distributed Annotation System (DAS). The Mouse Genomes Project has used the Illumina platform to sequence the entire NOD/ShiLtJ genome and this should help to position unaligned BAC end-sequences to novel non-reference regions of the NOD genome. Further information about the BAC end-sequences, such as their alignment, variation data and Ensembl gene coverage, can be obtained from the NOD mouse ftp site. | genome, sequencing, genome sequencing, insulin-dependent diabetes, c57bl/6j, single nucleotide polymorphism, genetic variation, bacterial artificial chromosome, sequence, gene, animal model, clone, annotation, contig |
lists: VEGA is listed by: NIDDK Information Network (dkNET) has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Type 1 diabetes, Diabetes | NIAID AI 15416; NIDDK ; JDRF |
PMID:23729657 | Free, Freely available | nlx_152738 | http://www.sanger.ac.uk/resources/mouse/nod/ | SCR_001483 | Sequencing of Insulin-dependent diabetes regions in the NOD mouse genome | 2026-08-04 09:40:24 | 1 | |||
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Short Time-series Expression Miner (STEM) Resource Report Resource Website 50+ mentions |
Short Time-series Expression Miner (STEM) (RRID:SCR_005016) | STEM | data processing software, software application, software resource | The Short Time-series Expression Miner (STEM) is a Java program for clustering, comparing, and visualizing short time series gene expression data from microarray experiments (~8 time points or fewer). STEM allows researchers to identify significant temporal expression profiles and the genes associated with these profiles and to compare the behavior of these genes across multiple conditions. STEM is fully integrated with the Gene Ontology (GO) database supporting GO category gene enrichment analyses for sets of genes having the same temporal expression pattern. STEM also supports the ability to easily determine and visualize the behavior of genes belonging to a given GO category or user defined gene set, identifying which temporal expression profiles were enriched for these genes. (Note: While STEM is designed primarily to analyze data from short time course experiments it can be used to analyze data from any small set of experiments which can naturally be ordered sequentially including dose response experiments.) Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | statistical analysis, term enrichment, visualization, cluster, compare, short time series, gene expression, microarray, expression profile, gene, gene ontology, gene enrichment analyses, FASEB list |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Carnegie Mellon University; Pennsylvania; USA |
NIAID NO1 AI-5001; NSF 0448453 |
PMID:16597342 PMID:15961453 |
Open unspecified license - Free for academic use | nlx_97053 | SCR_005016 | Short Time-series Expression Miner | 2026-08-04 09:41:16 | 81 | |||||
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Ontodog: A Web-based Ontology View Generator Resource Report Resource Website 10+ mentions |
Ontodog: A Web-based Ontology View Generator (RRID:SCR_005061) | Ontodog | software resource, source code, production service resource, service resource | Ontodog is a web-based ontology view generator. It can generate inSubset annotation ontology, user preferred label annotation ontology and subset of source ontology. Simply provide Ontodog input term file (Microsoft Excel file or tab-delimited text file), select one source ontology or enter your own source ontology and SPARQL endpoint, then set the settings for Ontodog output files and get the OWL (RDF/XML) Output files. Ontodog performs the basic ontology modularization-like function, i.e.,it automatically extracts all axioms and related terms associated with user-specified signature term(s). In addition, Ontodog includes extra features: (1) extracting all instance data associated with the retrieved class terms and annotations; and (2) recursively extracting all axioms and related terms indirectly associated with signature terms. More features are being added to Ontodog, such as relabeling preferred names for various ontology terms to fit in with the needs from a specific community. The Ontodog input data requires a source ontology and a list of user-specified signature terms in tab-delimited format. Ontodog provides the template files for generating the signature terms as the input terms file to download. There are several output options that the users can choose based on their needs. With more and more ontologies being developed, Ontodog offers a timely web-based package of solutions for ontology view generation. Ontodog provides an efficient approach to promote ontology sharing and interoperability. It is easy to use and does not require knowledge of SPARQL, script programming, and command line operation. Ontodog is developed to serve the ontology community for ontology reuse. It is freely available under the Apache License 2.0. The source code is made available under Apache License 2.0. | ontology, interoperability | has parent organization: University of Michigan Medical School; Michigan; USA | Rackham Pilot Research ; NIAID R01AI081062; NIGMS 5R01GM93132-1 |
nlx_144053 | SCR_005061 | 2026-08-04 09:41:17 | 17 | ||||||||
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ImmuneSpace Resource Report Resource Website 10+ mentions |
ImmuneSpace (RRID:SCR_010508) | portal, organization portal, data or information resource | A consortium of university groups to characterize human immune populations. The Human Immunology Project Consortium (HIPC) program, established in 2010 by the NIAID Division of Allergy, Immunology, and Transplantation, is a major collaborative effort that is generating large amounts of cross-center and cross-assay data including high-dimensional data to characterize the status of the immune system in diverse populations under both normal conditions and in response to stimuli. This large data problem has given birth to ImmuneSpace, a powerful data management and analysis engine where datasets can be easily explored and analyzed using state-of-the-art computational tools. | immunology | has parent organization: Human Immunology Project Consortium | NIAID | nlx_158717 | SCR_010508 | immune space, Immunespace.org | 2026-08-04 09:42:46 | 12 | ||||||||
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MG-RAST Resource Report Resource Website 1000+ mentions |
MG-RAST (RRID:SCR_004814) | MG RAST | data analysis service, analysis service resource, production service resource, service resource | An automated analysis platform for metagenomes providing quantitative insights into microbial populations based on sequence data. The server primarily provides upload, quality control, automated annotation and analysis for prokaryotic metagenomic shotgun samples. | metagenome, base pair, sequence, phylogenetic, functional analysis, data sharing, metadata, protein, micro biome, analysis platform, bio.tools |
is listed by: OMICtools is listed by: Human Microbiome Project is listed by: Debian is listed by: bio.tools has parent organization: Argonne National Laboratory |
NIAID contract HHSN272200900040C; DOE contract DE-AC02-06CH11357 |
PMID:18803844 | Acknowledgement requested, Public, Account required | OMICS_01456, biotools:mg-rast | http://metagenomics.nmpdr.org, https://bio.tools/mg-rast | SCR_004814 | The Metagenomics RAST server, Metagenomics RAST, MG-RAST - metagenomics analysis server | 2026-08-04 09:41:13 | 1137 | ||||
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CharProtDB: Characterized Protein Database Resource Report Resource Website |
CharProtDB: Characterized Protein Database (RRID:SCR_005872) | CharProtDB | database, data or information resource | The Characterized Protein Database, CharProtDB, is designed and being developed as a resource of expertly curated, experimentally characterized proteins described in published literature. For each protein record in CharProtDB, storage of several data types is supported. It includes functional annotation (several instances of protein names and gene symbols) taxonomic classification, literature links, specific Gene Ontology (GO) terms and GO evidence codes, EC (Enzyme Commisssion) and TC (Transport Classification) numbers and protein sequence. Additionally, each protein record is associated with cross links to all public accessions in major protein databases as ��synonymous accessions��. Each of the above data types can be linked to as many literature references as possible. Every CharProtDB entry requires minimum data types to be furnished. They are protein name, GO terms and supporting reference(s) associated to GO evidence codes. Annotating using the GO system is of importance for several reasons; the GO system captures defined concepts (the GO terms) with unique ids, which can be attached to specific genes and the three controlled vocabularies of the GO allow for the capture of much more annotation information than is traditionally captured in protein common names, including, for example, not just the function of the protein, but its location as well. GO evidence codes implemented in CharProtDB directly correlate with the GO consortium definitions of experimental codes. CharProtDB tools link characterization data from multiple input streams through synonymous accessions or direct sequence identity. CharProtDB can represent multiple characterizations of the same protein, with proper attribution and links to database sources. Users can use a variety of search terms including protein name, gene symbol, EC number, organism name, accessions or any text to search the database. Following the search, a display page lists all the proteins that match the search term. Click on the protein name to view more detailed annotated information for each protein. Additionally, each protein record can be annotated. | protein, annotation, functional annotation, taxonomic classification, literature, gene ontology, evidence code, enzyme commission, transport classification, protein sequence, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: J. Craig Venter Institute |
NHGRI R01 HG004881; NIAID contract HHSN266200100038C |
PMID:22140108 | biotools:charprotdb, nlx_149421 | https://bio.tools/charprotdb | SCR_005872 | Characterized Protein Database | 2026-08-04 09:41:28 | 0 | |||||
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ApiDots Resource Report Resource Website 1+ mentions |
ApiDots (RRID:SCR_001778) | database, data or information resource | Note: ApiDots is currently unavailable. For data on apicomplexan EST assemblies, please see EuPathDB ApiDots is a database integrating mRNA/EST sequences from numerous Apicomplexan parasites. ESTs and mRNAs were clustered and further assembled to generate consensus sequences. These consensus sequences were then subjected to database searches against protein sequences and protein domain sequences. The underlying relational structure of this database allows researchers to analyze these data and pose biologically interesting questions. | est, apicomplexan parasite, mrna, protein domain sequence, protein sequence |
is related to: Eukaryotic Pathogen Database Resources has parent organization: University of Pennsylvania; Philadelphia; USA |
USDA ; Amerman Family Foundation ; Merck Research Laboratories ; Burroughs Wellcome Fund ; NRI 99-35204-8615; NIAID AI45806; NIAID AI45806A1; NIAID AI48121 |
PMID:12618375 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02556 | SCR_001778 | 2026-08-04 09:40:28 | 2 | |||||||
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Nonhuman Primate HIV/SIV Vaccine Trials Database Resource Report Resource Website |
Nonhuman Primate HIV/SIV Vaccine Trials Database (RRID:SCR_002274) | database, data or information resource | An overview of HIV and SIV vaccine trials and their outcomes. It was developed as a tool for compilation, search and comparison of published studies on SIV, HIV and SHIV vaccine trials in nonhuman primates. We used a set of criteria to scan Pubmed for relevant studies to enter into the database. In selecting studies for entry, priority was given to recently published studies in journals generally regarded as the primary source of information pertaining to HIV and SIV vaccine research in nonhuman primates. In most cases, we give priority to challenge studies, where the animals received a live virus to measure the "efficacy" of the immunogen(s) inoculated during the course of the investigation. The HIV Sequence Database focuses on five primary goals: *Collecting HIV and SIV sequence data (all sequences since 1987) *Curating and annotating this data, and making it available to the scientific community *Computer analysis of HIV and related sequences *Production of software for the analysis of (sequence) data *Publication of the data and analyses on this site and in a yearly printed publication, the HIV sequence Compendium, which is available free of charge | drug, trial, vaccine, human immunodeficiency virus, simian immunodeficiency virus | has parent organization: HIV Databases | Human immunodeficiency virus, Simian immunodeficiency virus | NIAID | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20999 | http://hiv-web.lanl.gov/cgi-bin/vaccine/public/index.cgi | SCR_002274 | HIV/SIV Trials Vaccine DB, HIV/SIV Trials Vaccine Database | 2026-08-04 09:40:37 | 0 | |||||
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HIV Molecular Immunology Database Resource Report Resource Website 1+ mentions |
HIV Molecular Immunology Database (RRID:SCR_002893) | HIV Molecular Immunology Database | database, data or information resource | An annotated, searchable collection of HIV-1 cytotoxic and helper T-cell epitopes and antibody binding sites, plus related tools and information. The goal of this database is to provide a comprehensive listing of defined HIV epitopes. These data are also printed in the HIV Molecular Immunology compendium, which is updated yearly and provided free of charge to scientific researchers, both by online download and as a printed copy. The data included in this database are extracted from the HIV immunology literature. HIV-specific B-cell and T-cell responses are summarized and annotated. Immunological responses are divided into three sections, CTL (CD8+), T helper (CD4+), and antibody. Within these sections, defined epitopes are organized by protein and binding sites within each protein, moving from left to right through the coding regions spanning the HIV genome. We include human responses to natural HIV infections, as well as vaccine studies in a range of animal models and human trials. Responses that are not specifically defined, such as responses to whole proteins or monoclonal antibody responses to discontinuous epitopes, are summarized at the end of each protein sub-section. Studies describing general HIV responses to the virus, but not to any specific protein, are included at the end of each section. The annotation includes information such as cross-reactivity, escape mutations, antibody sequence, TCR usage, functional domains that overlap with an epitope, immune response associations with rates of progression and therapy, and how specific epitopes were experimentally defined. Basic information such as HLA specificities for T-cell epitopes, isotypes of monoclonal antibodies, and epitope sequences are included whenever possible. All studies that we can find that incorporate the use of a specific monoclonal antibody are included in the entry for that antibody. A single T-cell epitope can have multiple entries, generally one entry per study. Finally, tables and maps of all defined linear epitopes relative to the HXB2 reference proteins are provided. Alignments of CTL, helper T-cell, and antibody epitopes are available through the search interfaces. Only responses to HIV-1 and HIV-2 are included in the database. | cytotoxic t cell, cytotoxic t lymphocyte, helper t-cell, antibody, binding site, epitope, t cell epitope, human immunodeficiency virus, immunology, molecule, genome, protein, alignment, b-cell, t-cell, annotation, ctl, t helper, coding region, cross-reactivity, escape mutation, antibody sequence, tcr usage, functional domain, immune response, progression, therapy | has parent organization: HIV Databases | Human immunodeficiency virus | NIAID | nif-0000-02965 | http://hiv-web.lanl.gov/immunology/ | SCR_002893 | Human Immunodeficiency Virus Molecular Immunology Database | 2026-08-04 09:40:46 | 2 |
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