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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Macaque.org Resource Report Resource Website 1+ mentions |
Macaque.org (RRID:SCR_002767) | Macaque.org | organization portal, laboratory portal, topical portal, disease-related portal, 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 | 2026-07-27 09:31:37 | 3 | |||||
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miniTUBA Resource Report Resource Website |
miniTUBA (RRID:SCR_003447) | miniTUBA | storage service resource, analysis service resource, 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 | 2026-07-27 09:31:46 | 0 | |||||
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Induced Mutant Resource Resource Report Resource Website 1+ mentions |
Induced Mutant Resource (RRID:SCR_008366) | IMR | biomaterial supply resource, organism supplier, material resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 08, 2012. The function of the IMR is to select, import, cryopreserve, maintain, and distribute these important strains of mice to the research community. To improve their value for research, the IMR also undertakes genetic development of stocks, such as transferring mutant genes or transgenes to defined genetic backgrounds and combining transgenes and/or targeted mutations to create new mouse models for research. The function of the IMR is to: * select biomedically important stocks of transgenic, chemically induced, and targeted mutant mice * import these stocks into the Jackson Laboratory by rederivation procedures that rid them of any pathogens they might carry * cryopreserve embryos from these stocks to protect them against accidental loss and genetic contamination * backcross the mutation onto an inbred strain, if necessary * distribute them to the scientific community More than 1000 mutant stocks have been accepted by the IMR from 1992 through December 2006. Current holdings include models for research on cancer; breast cancer; immunological and inflammatory diseases; neurological diseases; behavioral, cardiovascular and heart diseases; developmental, metabolic and other diseases; reporter (e.g., GFP) and recombinase (e.g., cre/loxP) strains. About eight strains a month are being added to the IMR holdings. Research is being conducted on improved methods for assisted reproduction and speed congenic production. Most of the targeted mutants arrive on a mixed 129xC57BL/6 genetic background, and as many of these as possible are backcrossed onto an inbred strain (usually C57BL/6J). In addition, new mouse models are being created by intercrossing carriers of specific transgenes and/or targeted mutations. Simple sequence length polymorphism DNA markers are being used to characterize and evaluate differences between inbred strains, substrains, and embryonic stem cell lines. | embryo, genetic, behavioral, biomedical, breast cancer, cancer, cardiovascular, chemical, cre, cryopreserved, developmental, disease, distribution, dna, gfp, heart, immunological, inflammatory, loxp, marker, metabolic, model, mouse, mutation, neurological, pathogen, polymorphism, recombinase, research, stock, targeting, transgene | has parent organization: Jackson Laboratory | March of Dimes Birth Defects Foundation ; American Cancer Society ; American Heart Association ; Cystic Fibrosis Foundation ; National Multiple Sclerosis Society ; Amyotrophic Lateral Sclerosis Association ; NIAID ; NIAMS ; Howard Hughes Medical Institute ; Department of the Army Breast Cancer Research Initiative. ; NCRR P40 RR009781 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-25566 | SCR_008366 | 2026-07-27 09:33:04 | 3 | |||||||
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Type 1 Diabetes Genetics Consortium Resource Report Resource Website 1+ mentions |
Type 1 Diabetes Genetics Consortium (RRID:SCR_001557) | T1DGC | resource, topical portal, disease-related portal, 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) | 2026-07-27 09:31:14 | 2 | ||||
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Immune Tolerance Network (ITN) Resource Report Resource Website 10+ mentions |
Immune Tolerance Network (ITN) (RRID:SCR_001535) | ITN | topical portal, funding resource, clinical trial, portal, 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 | 2026-07-27 09:31:13 | 14 | |||||||
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Cinteny Resource Report Resource Website 10+ mentions |
Cinteny (RRID:SCR_002147) | database, web application, software resource, data or information resource | 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 | 2026-07-27 09:31:27 | 17 | ||||||
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ASPGD Resource Report Resource Website 100+ mentions |
ASPGD (RRID:SCR_002047) | ASPGD, ASPGD LOCUS, ASPGD REF | service resource, database, storage service resource, data repository, data or information 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 | 2026-07-27 09:31:22 | 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, | access service resource, core facility, service resource | 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 | 2026-07-27 09:31:22 | 10 | ||||
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ClipKIT Resource Report Resource Website 10+ mentions |
ClipKIT (RRID:SCR_026411) | software application, software resource, source code | Software fast and flexible alignment trimming tool that keeps phylogenetically informative sites and removes others. Multiple sequence alignment-trimming algorithm for accurate phylogenomic inference. | multiple sequence, alignment trimming, accurate phylogenomic inference, | Howard Hughes Medical Institute ; National Science Foundation ; Guggenheim Foundation ; Burroughs Wellcome Fund ; NIAID 1R56AI146096; Zhejiang University ; Fundamental Research Funds for the Central Universities |
PMID:33264284 | Free, Available for download, Freely available | SCR_026411 | 2026-07-26 09:08:43 | 35 | |||||||||
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Nonhuman Primate Reagent Resource Resource Report Resource Website 100+ mentions |
Nonhuman Primate Reagent Resource (RRID:SCR_012986) | NHPRR | antibody supplier, material resource, reagent supplier | Center that facilitates the optimal use of nonhuman primate models in biomedical research by identifying, developing, characterizing and producing reagents for monitoring or modulating immune responses. They distribute non-human primate-specific antibodies for in vitro diagnostics, as well as develop and produce primate recombinant antibodies for in vivo cell depletion or modulating immune responses. | anti-ig, antibody, biomedical, cell, depletion, diagnostic, immune, immunoglobulin, in vitro, in vivo, macaque, monkey, nonhuman, primate, reagent, recombinant, research, response, specie | NIH Office of the Director R24 OD010976; NIH HHSN272200900037C; NIH HHSN286200400101C; NIH HHSN2722001300031C; NIAID AI126683; NCRR RR016001; NIAID AI040101; NIH 272200900037C; NIH 286200400101C; NIH AI-126683; NIH OD-010976; NIH RR-016001; NIH 2722001300031C; NIH 272201300031C; NIH AI-040101; NIH NHPRR |
nif-0000-24368 | https://orip.nih.gov/comparative-medicine/programs/vertebrate-models, http://www.nhpreagents.org/NHP/contact.aspx | http://nhpreagents.bidmc.harvard.edu/NHP/default.aspx | SCR_012986 | nhp reagents, Nonhuman Primate Reagent Resources, Non-human primate repository, Non human Primate Reagent Resources, NHP Reagent Resource, nhpreagents, NIH Nonhuman Primate Reagent Resource, NHP Reagent, nhpreagent, Non-human Primate Reagent Resources | 2026-07-27 09:34:18 | 221 | ||||||
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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 | 2026-07-27 09:31:41 | 18 | |||||||
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Penn machine learning benchmark repository Resource Report Resource Website |
Penn machine learning benchmark repository (RRID:SCR_017138) | PMLB | data or information resource, data set | Python wrapper for Penn Machine Learning Benchmark data repository. Large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms. Part of PyPI https://pypi.org/ | benchmark, suite, machine, learning, evaluation, comparison, repository, curated, dataset | NIAID AI116794; NIDDK DK112217; NIEHS ES013508; NEI EY022300; NHLBI HL134015; NLM LM009012; NLM LM010098; NLM LM011360; NCATS TR001263; Warren Center for Network and Data Science |
PMID:29238404 | Free, Restricted | https://github.com/EpistasisLab/penn-ml-benchmarks | SCR_017138 | Penn Machine Learning Benchmark | 2026-07-27 09:35:29 | 0 | ||||||
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New York University School of Medicine IonLab Core Facility Resource Report Resource Website 1+ mentions |
New York University School of Medicine IonLab Core Facility (RRID:SCR_021754) | access service resource, core facility, service resource | Electrophysiology core facility that is part of Ion Channels and Transporters in Immunity Research Program.Research area includes ion channel and transporter function and ionic signaling in immune cells.Users who are studying other cell types or organ systems are welcome.Provides assistance with experimental design, training, implementation, and data analysis. | USEDit, ABRF, ion channel, transporter function, ionic signaling, immune cells |
is listed by: ABRF CoreMarketplace has parent organization: New York University School of Medicine; New York; USA |
NIAID AI097302 | open | ABRF_1221 | https://coremarketplace.org/?FacilityID=1221 | SCR_021754 | IonLab | 2026-07-27 09:36:26 | 8 | ||||||
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Pathogens Portal Node Toolbox Resource Report Resource Website |
Pathogens Portal Node Toolbox (RRID:SCR_027086) | source code, software resource, software toolkit | Software package and code for Pathogen Portal node (i.e. a local Pathogens Portal, such as the Swedish and Dutch Pathogens Portals). Allows users to create their own node quickly and easily. | Pathogen Portal node, Swedish Pathogens Portal, Dutch Pathogens Portal, SciLifeLab | NIAID U24AI183840 | Free, Available for download, Freely available | SCR_027086 | 2026-07-27 09:37:47 | 0 | ||||||||||
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InterProSurf Resource Report Resource Website |
InterProSurf (RRID:SCR_027791) | web service, data access protocol, web application, software resource | Web server for predicting interacting sites on protein surfaces. Analyzes solvent-accessible residues likely to participate in PPIs.Predicts interacting amino acid residues in proteins that are most likely to interact with other proteins, given the 3D structures of subunits of protein complex. | Analyzes solvent-accessible residues, predicting interacting sites on protein surfaces, interacting amino acid residues in proteins, proteins that are most likely to interact with other proteins, | NIAID R21 AI055746; NIAID R01 AI064913 |
PMID:17933856 | Free, Freely available, | SCR_027791 | 2026-07-27 09:37:59 | 0 | |||||||||
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MS-GF+ Resource Report Resource Website 100+ mentions |
MS-GF+ (RRID:SCR_015646) | software resource | Software that performs peptide identification by scoring MS/MS spectra against peptides derived from a protein sequence database. | protein idenitification, peptide sequence, ms, ms spectrum, proteomic, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools has parent organization: Pacific Northwest National Laboratory |
NCRR RR018522; NCRR 1-P41-RR024851; NIAID ; W.R. Wiley Environmental Molecular Science Laboratory |
PMID:25358478 | Free, Available for download, Acknowledgment requested | biotools:ms-gf | https://github.com/sangtaekim/msgfplus, https://bio.tools/ms-gf | SCR_015646 | MSGF+, MSGFPlus | 2026-07-25 12:08:11 | 155 | |||||
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Cryptococcus Neoformans cDNA Sequencing Resource Report Resource Website 1+ mentions |
Cryptococcus Neoformans cDNA Sequencing (RRID:SCR_008462) | software resource | Cryptococcus neoformans is an encapsulated yeast that infects the human host via the respiratory tract where it usually causes an inapparent infection. In the susceptible host, it may disseminate, typically producing a chronic and life-threatening meningitis. The Cryptococcus neoformans serotypes A and D are responsible for the overwhelming majority of pulmonary infections in AIDS patients. Cryptococcus neoformans strain H99 Latest Data Release - May 19, 2004 To date, we have isolated ca. 3750 cDNA clones from Cryptococcus neoformans strain H99 in collaboration with Drs. Juneann Murphy and Dave Dyer at the University of Oklahoma Health Sciences Center''s Department of Microbiology and Immunology in Oklahoma City and Kent Buchanan at the Tulane University Medical School, New Orleans, LA. The Cryptococcus neoformans strain H99 EST''s have been generated by Doris Kupfer, Heather Bell, Sunkyoung So, Yuong Tang, and Jennifer Lewis at the University of Oklahoma''s Advanced Center for Genome Technology, in the Department of Chemistry and Biochemistry. We now have end sequenced all available templates (ca. 7500 reactions) from both ends of the directionally cloned inserts after excision into pBlueScript SK-. . All of our data is available from our ftp site, and we now have added the ability to perform blast searches on this data. A keyword search of a blastx search of GenBank with this data also is available but we have not yet linked this to a unigene database as the number of EST''s sequenced doesn''t warrent this yet. | has parent organization: University of Oklahoma; Oklahoma; USA | NIAID AI147079 | nif-0000-30397 | SCR_008462 | cDNA Sequencing | 2026-07-25 12:06:48 | 1 | |||||||||
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ApiDB CryptoDB Resource Report Resource Website 10+ mentions |
ApiDB CryptoDB (RRID:SCR_013455) | ApiDB CryptoDB | database, data or information resource | An integrated genomic and functional genomic database for the parasite Cryptosporidium. CryptoDB integrates whole genome sequence and annotation along with experimental data and environmental isolate sequences provided by community researchers. The database includes supplemental bioinformatics analyses and a web interface for data-mining. Organisms included in CryptoDB are Cryptosporidium parvum, Cryptosporidium hominis, Cryptosporidium muris and environmental isolate sequences from numerous species. CryptoDB is allied with the databases PlasmoDB and ToxoDB via ApiDB, an NIH/NIAID-funded Bioinformatics Resource Center. Tools include: * BLAST: Identify Sequence Similarities * Sequence Retrieval: Retrieve Specific Sequences using IDs and coordinates * PubMed and Entrez: View the Latest Cryptosporidium Pubmed and Entrez Results * Genome Browser: View Sequences and Features in the genome browser * CryptoCyc: Explore Automatically Defined Metabolic Pathways * Searches via Web Services: Web service access to our data | cryptosporidium parvum, cryptosporidium, cryptosporidium genome, cryptosporidium orf, cryptosporidium sage tag alignments, cryptosporidium snp, genomic sequence, dna motif, snp, est, orf, data set, bio.tools |
uses: SynView is listed by: 3DVC is listed by: Debian is listed by: bio.tools has parent organization: Eukaryotic Pathogen Database Resources |
NIAID contract HHSN266200400037C | PMID:16381902 | nif-0000-02698, biotools:cryptodb, r3d100012265 | https://bio.tools/cryptodb | http://cryptodb.org/ | SCR_013455 | CryptoDB, Cryptosporidium Genomics Resource | 2026-07-25 12:12:07 | 25 | ||||
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Cytokine Registry Resource Report Resource Website 1+ mentions |
Cytokine Registry (RRID:SCR_014368) | database, data or information resource | A registry of cytokines, chemokines, and receptors generated for the purpose of collecting, integrating, and mapping between entity names and synonyms from several resources. These resources include MeSH, the Protein Ontology, EntrezGene, HGNC, MGI, UniProt and others. | cytokine, registry, innate immune system, chemokine, receptor |
uses: UniProt uses: MeSH uses: Plant Ontology uses: Mouse Genome Informatics (MGI) uses: HGNC uses: Entrez Gene is affiliated with: The Immunology Database and Analysis Portal (ImmPort) has parent organization: University of California at San Francisco; California; USA |
NIAID ; NIH ; Department of Health and Human Services |
Acknowledgement required, Registry file is available for download | SCR_014368 | ImmPort Cytokine Registry | 2026-07-25 12:12:09 | 1 | ||||||||
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EPIMHC Resource Report Resource Website 1+ mentions |
EPIMHC (RRID:SCR_016279) | database, data or information resource | Database of naturally processed MHC-restricted peptide ligands and epitopes for customized computational vaccinology. | mhc, peptide, ligand, eiptope, vaccine, vaccinology, virology, t cell, immunogenic, molecule, virus | NIAID AI50900; NIAID AI43649; Molecular Immunology Foundation |
PMID:15657103 | Freely available, The research community can contribute to this resource | SCR_016279 | EPIMHC Database | 2026-07-25 12:12:12 | 4 |
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