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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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University of North Carolina Charlotte Bioinformatics Services Division Resource Report Resource Website |
University of North Carolina Charlotte Bioinformatics Services Division (RRID:SCR_017182) | BiSD, UNC Charlotte BiSD | analysis service resource, service resource, production service resource, access service resource, core facility, data analysis service, data or information resource | Core to assist with analyzing and interpreting data produced by genomic technologies. | bioinformatics, analysis, data, genomic | Open | SCR_017182 | , Charlotte, University of North Carolina, BiSD, Bioinformatics Services Division, UNC | 2026-02-12 09:46:30 | 0 | |||||||||
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City of Hope National Medical Center Integrative Genomics and Bioinformatics Core Facility Resource Report Resource Website 1+ mentions |
City of Hope National Medical Center Integrative Genomics and Bioinformatics Core Facility (RRID:SCR_017188) | IGBC | analysis service resource, service resource, production service resource, access service resource, core facility, data analysis service, data or information resource | Core provides genomic and bioinformatics services to City of Hope Comprehensive Cancer Center (COHCCC) investigators. | bioinformatics, genomic, data, analysis, service, next, sequencing | Restricted | SCR_017188 | , City of Hope, Integrative Genomics and Bioinformatics Core, Bioinformatics Core Facility, National Medical Center, IGBC | 2026-02-12 09:47:03 | 1 | |||||||||
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University of Manchester Bioinformatics Core Facility Resource Report Resource Website 1+ mentions |
University of Manchester Bioinformatics Core Facility (RRID:SCR_017171) | Manchester Bioinformatics Facility | analysis service resource, software resource, service resource, production service resource, access service resource, core facility, data analysis service | Core provides assistance in integrative analysis of genomic datasets to support faculty. | bioinformatics, analysis, genomic, data, dataset | has parent organization: University of Manchester; Manchester; United Kingdom | Restricted | SCR_017171 | , Bioinformatics Facility, University of Manchester, Bioinformatics Core Facility | 2026-02-12 09:47:02 | 2 | ||||||||
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MITE-Tracker Resource Report Resource Website 1+ mentions |
MITE-Tracker (RRID:SCR_017030) | MITE Tracker | sequence analysis software, software resource, software application, data analysis software, data processing software | Open source software tool for identifying miniature inverted repeat transposable elements in large genomes. Used to process large scale genomes, to find and classify MITEs using an efficient alignment strategy to retrieve nearby inverted repeat sequences. | genomic, sequence, discover, miniature, inverted, repeat, transposable, element, clustering, cdhit |
uses: NCBI BLAST is listed by: OMICtools is related to: Python Programming Language |
National Institute of Agricultural Technology ; National Council for Science and Technology ; Argentina |
DOI:10.1186/s12859-018-2376-y | Free, Available for download, Freely available | OMICS_32242 | SCR_017030 | MITE Tracker, Miniature Inverted repeats Transposable Elements Tracker | 2026-02-12 09:46:27 | 3 | |||||
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Virus Pathogen Resource (ViPR) Resource Report Resource Website 100+ mentions |
Virus Pathogen Resource (ViPR) (RRID:SCR_012983) | ViPR | software resource, data repository, service resource, storage service resource, database, software application, data processing software, data or information resource, data visualization software | Provides searchable public repository of genomic, proteomic and other research data for different strains of pathogenic viruses along with suite of tools for analyzing data. Data can be shared, aggregated, analyzed using ViPR tools, and downloaded for local analysis. ViPR is an NIAID-funded resource that support the research of viral pathogens in the NIAID Category A-C Priority Pathogen lists and those causing (re)emerging infectious diseases. It provides a dedicated gateway to SARS-CoV-2 data that integrates data from external sources (GenBank, UniProt, Immune Epitope Database, Protein Data Bank), direct submissions, analysis pipelines and expert curation, and provides a suite of bioinformatics analysis and visualization tools for virology research. | flu, gene, bioinformatic, database, diagnostic, genomic, health, human, influenza, pathogen, protein, research, strain, therapeutic, tool, vaccine, virus, visualization, FASEB list |
is recommended by: National Library of Medicine is listed by: Data and Computational Resources to Address COVID-19 is listed by: DataCite is listed by: re3data.org is listed by: FAIRsharing has parent organization: University of Texas Southwestern Medical Center; Texas; USA |
COVID-19 | NIAID | Restricted | nif-0000-25312, DOI:10.35083, DOI:10.35084, DOI:10.17616/R30P93, DOI:10.25504/FAIRsharing.2qx8n8 | http://www.viprbrc.org/ https://doi.org/10.17616/r30p93 https://doi.org/10.35083/ https://doi.org/10.35084/ https://dx.doi.org/10.35083/ https://dx.doi.org/10.35084/ https://fairsharing.org/10.25504/FAIRsharing.2qx8n8 |
SCR_012983 | Virus Pathogen Resource, ViPR | 2026-02-12 09:45:47 | 140 | ||||
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PIAGE Resource Report Resource Website |
PIAGE (RRID:SCR_013124) | software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 24,2023. Software program that performs estimation of power and sample sizes required to detect genetic and environmental main, as well as gene-environment interaction (GxE) effects in indirect matched case-control studies (1:1 matching). When the hypothesis of GxE is tested, power/sample size will be estimated for the detection of GxE, as well as for the detection of genetic and environmental marginal effects. Furthermore, power estimation is implemented for the joint test of genetic marginal and GxE effects (Kraft P et al., 2007). Power and sample size estimations are based on Gauderman''s (2002) asymptotic approach for power and sample size estimations in direct studies of GxE. Hardy-Weinberg equilibrium and independence of genotypes and environmental exposures in the population are assumed. The estimates are based on genotypic codes (G=1 (G=0) for individuals who carry a (non-) risk genotype), which depend on the mode of inheritance (dominant, recessive, or multiplicative). A conditional logistic regression approach is used, which employs a likelihood-ratio test with respect to a biallelic candidate SNP, a binary environmental factor (E=1 (E=0) in (un)exposed individuals), and the interaction between these components. (entry from Genetic Analysis Software) | gene, genetic, genomic, r, ms-windows, linux | is listed by: Genetic Analysis Software | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154534, SCR_009372, nlx_154594 | SCR_013124 | R/PIAGE, Power of Indirect Association Studies of Gene-Environment Interactions | 2026-02-12 09:45:46 | 0 | ||||||||
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BOOST Resource Report Resource Website 10+ mentions |
BOOST (RRID:SCR_013133) | BOOST | software application, software resource, data analysis software, data processing software | Software application (entry from Genetic Analysis Software) for a method for detecting gene-gene interactions. It allows examining all pairwise interactions in genome-wide case-control studies. | gene, genetic, genomic, logistic regression model, gene-gene interactions | is listed by: Genetic Analysis Software | Free, Available for download | nlx_154249 | SCR_013133 | BOolean Operation based Screening and Testing | 2026-02-12 09:45:37 | 32 | |||||||
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R/FEST Resource Report Resource Website 1+ mentions |
R/FEST (RRID:SCR_013347) | software application, software resource | An R package for simulations and likelihood calculations of pair-wise family relationships using DNA marker data. (entry from Genetic Analysis Software) | gene, genetic, genomic, r | is listed by: Genetic Analysis Software | nlx_154111, SCR_000830, nlx_154582 | SCR_013347 | FEST | 2026-02-12 09:46:08 | 2 | |||||||||
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Informatics for Integrating Biology and the Bedside Resource Report Resource Website 10+ mentions |
Informatics for Integrating Biology and the Bedside (RRID:SCR_013629) | i2b2 | training resource, organization portal, software resource, data or information resource, portal, data set | i2b2 (Informatics for Integrating Biology and the Bedside) is an NIH-funded National Center for Biomedical Computing based at Partners HealthCare System. The i2b2 Center is developing a scalable informatics framework that will enable clinical researchers to use existing clinical data for discovery research and, when combined with IRB-approved genomic data, facilitate the design of targeted therapies for individual patients with diseases having genetic origin. For some resources (e.g. software) the use of the resource requires accepting a specific (e.g. OpenSource) license. | genetic, biology, biomedical, computing, genomic, health, healthcare, informatic, origin, patient, therapy, predoctoral, postdoctoral |
is related to: National Centers for Biomedical Computing is parent organization of: i2b2 Cross-Institutional Clinical Translational Research project is parent organization of: Smoking NLP Challenge Data |
NLM U54LM008748 | Free, Public, Acknowledgement requested | nif-0000-33133 | SCR_013629 | 2026-02-12 09:45:51 | 27 | |||||||
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European large-scale functional genomics in the rat for translational research (EURATRANS) Resource Report Resource Website |
European large-scale functional genomics in the rat for translational research (EURATRANS) (RRID:SCR_013697) | EURATRANS | data or information resource, portal, consortium, organization portal | The European large-scale functional genomics in the rat for translational research (EURATRANS) consortium brings together investigators who will use next-generation sequencing technologies to generate genomic, transcriptomic and epigenomic datasets. The goal is to create quantitative metabonomic and proteomic datasets to give significant depth of coverage, at multiple levels, across pathophysiological phenotypes. The aim is to enable insights into disease mechanisms, through an integrative, cross-disciplinary approach to understanding large-scale functional genomic datasets in rats and humans. | government, individual consortium, basic science, tool development, biomarker research, data-sharing enabler, genomic, transcriptomic, epigenomic, rat, | European Union FP7 n HEALTH-F4-2010-241504 | SCR_013697 | 2026-02-12 09:45:44 | 0 | ||||||||||
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Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Bioinformatics Resource Resource Report Resource Website |
Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Bioinformatics Resource (RRID:SCR_015324) | analysis service resource, service resource, production service resource, access service resource, core facility, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE.Documented on July 27,2022. Core provides bioinformatics specialists available to assist researchers with processing, exploring, and understanding genomics data. | hematology, bioinformatics, explore, understand, genomic, data, cancer |
is listed by: NIDDK Information Network (dkNET) has parent organization: Fred Hutchinson Cancer Center |
Cancer | NIDDK P30 DK056465 | THIS RESOURCE IS NO LONGER IN SERVICE | SCR_015907 | SCR_015324 | Hutch, Bioinformatic Resource, Fred, Co-operative Center for Excellence in Hematology, Cancer Center | 2026-02-12 09:46:29 | 0 | ||||||
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Mouse Biomedical Informatics Research Network Resource Report Resource Website |
Mouse Biomedical Informatics Research Network (RRID:SCR_003392) | MouseBIRN, mBIRN | data or information resource, atlas, reference atlas, data set | Animal model data primarily focused on mice including high resolution MRI, light and electron microscopic data from normal and genetically modified mice. It also has atlases, and the Mouse BIRN Atlasing Toolkit (MBAT) which provides a 3D visual interface to spatially registered distributed brain data acquired across scales. The goal of the Mouse BIRN is to help scientists utilize model organism databases for analyzing experimental data. Mouse BIRN has ended. The next phase of this project is the Mouse Connectome Project (https://www.nitrc.org/projects/mcp/). The Mouse BIRN testbeds initially focused on mouse models of neurodegenerative diseases. Mouse BIRN testbed partners provide multi-modal, multi-scale reference image data of the mouse brain as well as genetic and genomic information linking genotype and brain phenotype. Researchers across six groups are pooling and analyzing multi-scale structural and functional data and integrating it with genomic and gene expression data acquired from the mouse brain. These correlated multi-scale analyses of data are providing a comprehensive basis upon which to interpret signals from the whole brain relative to the tissue and cellular alterations characteristic of the modeled disorder. BIRN's infrastructure is providing the collaborative tools to enable researchers with unique expertise and knowledge of the mouse an opportunity to work together on research relevant to pre-clinical mouse models of neurological disease. The Mouse BIRN also maintains a collaborative Web Wiki, which contains announcements, an FAQ, and much more. | electron microscopy, expression, functional, gene, 3-dimentional, brain, cellular, disorder, genomic, genotype, mouse, neurodegenerative disease, phenotype, molecular neuroanatomy resource, mri, light microscopy, model organism, gene expression, atlas data, imaging genomics, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Mouse BIRN Atlasing Toolkit is related to: Mouse Connectome Project has parent organization: Biomedical Informatics Research Network |
Normal, Neurodegenerative disease, Multiple Sclerosis, Alzheimer's disease, Parkinson's disease | NIH ; Collaborative Tools Support Network Award ; NCRR 1U24-RR025736; NCRR U24-RR021992; NCRR U24-RR021760; NCRR 1U24-RR026057-01 |
Free, Available for download, Freely available | nif-0000-00200 | https://loni.usc.edu/research/software?name=MBATWA | http://www.loni.ucla.edu/BIRN/Projects/Mouse/index.shtml | SCR_003392 | Mouse BIRN | 2026-02-12 09:43:36 | 0 | |||
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AirPROM Resource Report Resource Website |
AirPROM (RRID:SCR_003827) | AirPROM | data or information resource, portal, consortium, organization portal | Consortium focused on developing computer and physical models of the airway system for patients with asthma and chronic obstructive pulmonary disease (COPD). Developing accurate models will better predict how asthma and COPD develop, since current methods can only assess the severity of disease. They aim to bridge the gaps in clinical management of airways-based disease by providing reliable models that predict disease progression and the response to treatment for each person with asthma or COPD. A data management platform provides a secure and sustainable infrastructure that semantically integrates the clinical, physiological, genetic, and experimental data produced with existing biomedical knowledge from allied consortia and public databases. This resource will be available for analysis and modeling, and will facilitate sharing, collaboration and publication within AirPROM and with the broader community. Currently the AirPROM knowledge portal is only accessible by AirPROM partners. | model, airway system, lung, consortium, clinical, imaging, respiratory system, tissue sample, airway model, genomic, gas diffusion mri, airway development, function, physiological, genetic, computational model, gene-environment interaction |
is listed by: Consortia-pedia has parent organization: European Lung Foundation |
European Union FP7 | nlx_158142 | SCR_003827 | Airway Disease Predicting Outcomes through Patient Specific Computational Modelling | 2026-02-12 09:43:41 | 0 | |||||||
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Cohorts for Heart and Aging Research in Genomic Epidemiology Resource Report Resource Website 10+ mentions |
Cohorts for Heart and Aging Research in Genomic Epidemiology (RRID:SCR_004034) | CHARGE Consortium, CHARGE | bibliography, organization portal, consortium, data or information resource, portal | Consortium formed to facilitate genome-wide association study meta-analyses and replication opportunities among multiple large and well-phenotyped longitudinal cohort studies. A bibliography of CHARGE publications is available. Its founding member cohorts include: * Age, Gene, Environment, Susceptibility Study -- Reykjavik * Atherosclerosis Risk in Communities Study * Cardiovascular Health Study * Framingham Heart Study * Rotterdam Study Additional core cohorts include: * Coronary Artery Risk Development in Young Adults * Family Heart Study * Health, Aging, and Body Composition Study * Jackson Heart Study * Multi-Ethnic Study of Atherosclerosis | genome-wide association study, genomic, epidemiology, phenotype, longitudinal | is related to: International Genomics of Alzheimers Project | Aging, Heart disease | PMID:20031568 | nlx_158460 | SCR_004034 | 2026-02-12 09:43:43 | 17 | |||||||
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La Jolla Interdisciplinary Neurosciences Center Resource Report Resource Website |
La Jolla Interdisciplinary Neurosciences Center (RRID:SCR_002772) | La Jolla Neuroscience Center Cores | analysis service resource, material analysis service, service resource, production service resource, biomaterial analysis service, access service resource, material service resource | Our NINDS Center Core Grant supports centralized resources and facilities shared by investigators with existing NINDS-funded research projects. Our Center is composed of three research cores, each of which will enrich the effectiveness of ongoing research, and promote new research directions. The three Core facilities support Electrophysiology, Neuropathology / Histology, and High-Throughput/High-Content Chemical and Genomic Library screening. By making these important Core Services available to the local Neuroscience community, the La Jolla Neurosciences Program hopes to promote the study of how the nervous system works and develop treatments for nervous system diseases. The cores and their services are available to La Jolla neuroscientists. Core services are available to NINDS-supported neuroscience projects from local investigators as well as young neuroscientists prior to obtaining their first NIH-funded grant. * Electrophysiology: SBMRI Electrophysiology ** The Electrophysiology Core consists of the Sanford-Burnham Electrophysiology Facility. This facility can perform patch-clamp intracellular and extracellular field recordings on a range of material including cultured cells and brain slices. The Sanford-Burnham facility emphasizes electrophysiological analysis of cultured cells and the detailed electrical properties of channels, receptors and recombinant proteins expressed in Xenopus oocytes or mammalian cells. * Neuropathology: UCSD Neuropathology ** The Neuropathology laboratory applies immunocytochemistry, neurochemistry, molecular genetics, transgenic models of disease, and imaging by scanning laser confocal microscopy to analysis of neurological disease in animal models. * Chemical Library Screening: SBIMR Assay Development, SBIMR Chemical Library Screening, SBIMR Cheminformatics, SBIMR High-content Screening ** The Chemical Library Screening core offers high-throughput screening (HTS) of biochemical and cell-based array using traditional HTS readouts and automated microscopy for high-content screening (HCS)> These facilities also offer array development and screening, as well as cheminformatics and medicinal chemistry., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026. | neuroscience, nervous system, electrophysiology, neuropathology, histology, high-throughput screening, high-content screening, chemical, genomic, chemical library screening, cheminformatics, medicinal chemistry |
has parent organization: University of California at San Diego; California; USA has parent organization: Sanford Burnham Prebys Medical Discovery Institute |
Nervous system disease | NINDS ; NIH Blueprint for Neuroscience Research |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00436 | SCR_002772 | La Jolla Interdisciplinary Neuroscience Center Core (Burnham-Salk-Scripps-UCSD) | 2026-02-12 09:43:27 | 0 | |||||
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Macaque.org Resource Report Resource Website 1+ mentions |
Macaque.org (RRID:SCR_002767) | Macaque.org | organization portal, topical portal, research forum portal, disease-related portal, data or information resource, portal, laboratory portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on June 8, 2020.Macaque genomic and proteomic resources and how they are providing important new dimensions to research using macaque models of infectious disease. The research encompasses a number of viruses that pose global threats to human health, including influenza, HIV, and SARS-associated coronavirus. By combining macaque infection models with gene expression and protein abundance profiling, they are uncovering exciting new insights into the multitude of molecular and cellular events that occur in response to virus infection. A better understanding of these events may provide the basis for innovative antiviral therapies and improvements to vaccine development strategies. | genomic, hiv, infection, proteomic, virus, simian immunodeficiency virus, influenza virus, animal model | has parent organization: University of Washington; Seattle; USA | Viral infection, Infectious disease | NCRR ; NIAID ; NHLBI ; NIDA |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-24370 | SCR_002767 | Macaque.org | 2026-02-12 09:43:27 | 3 | |||||
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Sal-Site Resource Report Resource Website 50+ mentions |
Sal-Site (RRID:SCR_002850) | Sal-Site | analysis service resource, portal, service resource, production service resource, topical portal, database, data analysis service, organism-related portal, data or information resource, image collection | Portal that supports Ambystoma-related research and educational efforts. It is composed of several resources: Salamander Genome Project, Ambystoma EST Database, Ambystoma Gene Collection, Ambystoma Map and Marker Collection, Ambystoma Genetic Stock Center, and Ambystoma Research Coordination Network. | gene, genomic, expressed sequence tag, blast, model organism, genome, salamander, animal model, genetic map, genetic marker, gene expression, limb regeneration, microarray, quantitative-pcr, rna-seq, nanostring, husbandry, embryo, limb, mutant, strain, neural, olfaction, phentotype, regeneration, renal, retina, sequence, vision, human, chicken, xenopus tropicalis, FASEB list | has parent organization: University of Kentucky; Kentucky; USA | NSF OB0242833; NSF DBI0443496; NCRR R24 RR016344; NIH Office of the Director R24 OD010435 |
PMID:16359543 | Free, Freely available | nif-0000-25309 | https://orip.nih.gov/comparative-medicine/programs/vertebrate-models | SCR_002850 | Ambystoma Resources for Model Amphibians Database | 2026-02-12 09:43:28 | 92 | ||||
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GenePattern Resource Report Resource Website 1000+ mentions |
GenePattern (RRID:SCR_003201) | GenePattern | software resource, software application, data analysis software, data processing software | A powerful genomic analysis platform that provides access to hundreds of tools for gene expression analysis, proteomics, SNP analysis, flow cytometry, RNA-seq analysis, and common data processing tasks. A web-based interface provides easy access to these tools and allows the creation of multi-step analysis pipelines that enable reproducible in silico research. | gene expression, analysis, genomic, pattern, proteomics, silico, snp, workflow, analysis pipeline, flow cytometry, rna-seq, data processing, bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: SoftCite is affiliated with: GenePattern Notebook is related to: TIGRESS has parent organization: Broad Institute |
NCI ; NIGMS |
PMID:16642009 | Free, Freely available | biotools:genepattern, OMICS_01855, nif-0000-30654 | https://bio.tools/genepattern | SCR_003201 | 2026-02-12 09:43:33 | 1078 | |||||
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ASPGD Resource Report Resource Website 100+ mentions |
ASPGD (RRID:SCR_002047) | ASPGD, ASPGD LOCUS, ASPGD REF | data repository, service resource, storage service resource, database, 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 | 2026-02-12 09:43:17 | 212 | ||||
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University of California at Los Angeles - Department of Energy Institute for Genomics and Proteomics Resource Report Resource Website 1+ mentions |
University of California at Los Angeles - Department of Energy Institute for Genomics and Proteomics (RRID:SCR_001921) | organization portal, data computation service, database, data or information resource, portal | The UCLA-DOE Institute for Genomics and Proteomics carries out research in bioenergy, structural biology, genomics and proteomics, consistent with the research mission of the United States Department of Energy. Major interests of the 12 Principal Investigators and 9 Associate Members include systems approaches to organisms, structural biology, bioinformatics, and bioenergetic systems. The Institute sponsors 5 Core Technology Centers, for X-ray and NMR structural determination, bioinformatics and computation, protein expression and purification, and biochemical instrumentation. Services offered by this Institute: - Databases: * DIP (The Database of Interacting Proteins): The DIPTM database catalogs experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions. * ProLinks Database of Functional Linkages: The Prolinks database is a collection of inference methods used to predict functional linkages between proteins. These methods include the Phylogenetic Profile method which uses the presence and absence of proteins across multiple genomes to detect functional linkages; the Gene Cluster method, which uses genome proximity to predict functional linkage; Rosetta Stone, which uses a gene fusion event in a second organism to infer functional relatedness; and the Gene Neighbor method, which uses both gene proximity and phylogenetic distribution to infer linkage. - Data-to-Structure Servers: * SAVEs Structure Verification Server * Merohedral Twinning Test Server * SER Surface Entropy Reduction Server * VERIFY3D Structure Verification Server * ERRAT Structure Verification Server - Structure-to-Function Servers: * ProKnow Protein Functionator * Hot Patch Functional Site Locator | expression, functional linkage, gene, biochemical instrumentation, bioenergetic system, bioenergy, bioinformatic, computation, genome, genomic, nmr, organism, protein, protein-protein interaction, proteomic, purification, structural biology, x-ray | nif-0000-10491 | SCR_001921 | UCLA-DOE | 2026-02-12 09:43:15 | 4 |
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