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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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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 | access service resource, analysis service resource, biomaterial analysis service, material analysis service, material service resource, production service resource, 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) | 2026-08-29 11:21:31 | 0 | |||||
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Macaque.org Resource Report Resource Website 1+ mentions |
Macaque.org (RRID:SCR_002767) | Macaque.org | data or information resource, disease-related portal, laboratory portal, organization portal, portal, research forum portal, topical 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 | 2026-08-29 11:21:19 | 3 | |||||
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Sal-Site Resource Report Resource Website 50+ mentions |
Sal-Site (RRID:SCR_002850) | Sal-Site | analysis service resource, data analysis service, data or information resource, database, image collection, organism-related portal, portal, production service resource, service resource, topical portal | 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 | NCRR R24 RR016344; NIH Office of the Director R24 OD010435; NSF DBI0443496; NSF OB0242833 |
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 | 2026-08-29 11:21:21 | 92 | ||||
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Genboree Discovery System Resource Report Resource Website 10+ mentions |
Genboree Discovery System (RRID:SCR_000747) | Genboree | data or information resource, data processing software, database, software application, software resource | A software application and database viewing system for genomic research, more specifically formulti-genome comparison and pattern discovery via genome self-comparison. Data are available for a range of species including Human Chr3, Human Chr12, Sea Urchin, Tribolium, and cow. The Genboree Discovery System is the largest software system developed at the bioinformatics laboratory at Baylor in close collaboration with the Human Genome Sequencing Center. Genboree is a turnkey software system for genomic research. Genboree is hosted on the Internet and, as of early 2007, the number of registered users exceeds 600. While it can be configured to support almost any genome-centric discovery process, a number of configurations already exist for specific applications. Current focus is on enabling studies of genome variation, including array CGH studies, PCR-based resequencing, genome resequencing using comparative sequence assembly, genome remapping using paired-end tags and sequences, genome analysis and annotation, multi-genome comparison and pattern discovery via genome self-comparison. Genboree database and visualization settings, tools, and user roles are configurable to fit the needs of specific discovery processes. Private permanent project-specific databases can be accessed in a controlled way by collaborators via the Internet. Project-specific data is integrated with relevant data from public sources such as genome browsers and genomic databases. Data processing tools are integrated using a plug-in model. Genboree is extensible via flexible data-exchange formats to accommodate project specific tools and processing steps. Our Positional Hashing method, implemented in the Pash program, enables extremely fast and accurate sequence comparison and pattern discovery by employing low-level parallelism. Pash enables fast and sensitive detection of orthologous regions across mammalian genomes, and fast anchoring of hundreds of millions of short sequences produced by next-generation sequencing technologies. We are further developing the Pash program and employing it in the context of various discovery pipelines. Our laboratory participates in the pilot stage of the TCGA (The Cancer Genome Atlas) project. We aim to develop comprehensive, rapid, and economical methods for detecting recurrent chromosomal aberrations in cancer using next-generation sequencing technologies. The methods will allow detection of recurrent chromosomal aberrations in hundreds of small ( | genome, genomic, next generation sequencing |
is related to: Spark has parent organization: Baylor University; Texas; USA |
nif-0000-08906 | SCR_000747 | Genboree Discovery System | 2026-08-29 11:20:30 | 11 | ||||||||
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Baylor College of Medicine - Shaw Laboratory Resource Report Resource Website 1+ mentions |
Baylor College of Medicine - Shaw Laboratory (RRID:SCR_000604) | BCM - Shaw Laboratory, BCM Shaw Laboratory, BCM Shaw Lab | data or information resource, laboratory portal, organization portal, portal | The mission of the Baylor College of Medicine - Shaw Laboratory is to apply methods of statistics and bioinformatics to the analysis of large scale genomic data. Our vision is data integration to reveal the underlying connections between genes and processes in order to cure disease and improve healthcare. | statistics, bioinformatics, analysis, genomic, gene, biological process | has parent organization: Baylor University; Texas; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149156 | SCR_000604 | 2026-08-29 11:20:28 | 1 | ||||||||
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Kyoto Encyclopedia of Genes and Genomes Expression Database Resource Report Resource Website 1000+ mentions |
Kyoto Encyclopedia of Genes and Genomes Expression Database (RRID:SCR_001120) | KEGG Expression Database | data or information resource, data repository, database, service resource, storage service resource | Database for mapping gene expression profiles to pathways and genomes. Repository of microarray gene expression profile data for Synechocystis PCC6803 (syn), Bacillus subtilis (bsu), Escherichia coli W3110 (ecj), Anabaena PCC7120 (ana), and other species contributed by the Japanese research community. | encyclopedia, endogenous, environment, enzyme, escherichia coli, exogenous, expression, family, functional, gene, genetic, anabaena, bacillus subtilis, biological system, biology, building block, cell, cellular, chemical, community, complex, genome, genomic, hierarchy, interaction, japanese, mapping, metabolic, metabolic pathway databases, microarray, molecular, molecular wiring, nomenclature, order, organism, ortholog, pathway, process, protein, reaction, research, sequence, specie, substance, synechocystis, FASEB list |
is listed by: LabWorm is affiliated with: KEGG has parent organization: Kyoto University; Kyoto; Japan |
PMID:9847135 PMID:10592173 |
Free, Available for download, Freely available | r3d100011570, nif-0000-21234 | https://doi.org/10.17616/R3792T | SCR_001120 | Kyoto Encyclopedia of Genes and Genomes Expression Database | 2026-08-29 11:20:36 | 1279 | |||||
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Happy Resource Report Resource Website 10+ mentions |
Happy (RRID:SCR_001395) | HAPPY | data analysis software, data processing software, software application, software resource, source code | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software package for Multipoint QTL Mapping in Genetically Heterogeneous Animals (entry from Genetic Analysis Software) The method is implemented in a C-program and there is now an R version of HAPPY. You can run HAPPY remotely from their web server using your own data (or try it out on the data provided for download). | qtl, quantitative trait locus, r, c, gene, genetic, genomic, ansi c, unix, irix, sunos, linux, animal model, trait, map, genotype, phenotype, haplotype, linear regression, data set, qtl mapping |
is listed by: Genetic Analysis Software is listed by: Debian has parent organization: Wellcome Trust Centre for Human Genetics |
Wellcome Trust | PMID:11050180 DOI:10.1073/pnas.230304397 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_152594 | http://www.well.ox.ac.uk/~rmott/happy.html | https://sources.debian.org/src/r-other-mott-happy.hbrem/ | SCR_001395 | reconstructing HAPlotYpes | 2026-08-29 11:20:53 | 46 | |||
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iBIOFind Resource Report Resource Website |
iBIOFind (RRID:SCR_001587) | iBIOFind | data or information resource, database, service resource, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 17, 2016. C#.NET 4.0 WPF / OWL / REST / JSON / SPARQL multi-threaded, parallel desktop application enables the construction of biomedical knowledge through PubMed, ScienceDirect, EndNote and NIH Grant repositories for tracking the work of medical researchers for ranking and recommendations. Users can crawl web sites, build latent semantic indices to generate literature searches for both Clinical Translation Science Award and non-CTSA institutions, examine publications, build Bayesian networks for neural correlates, gene to gene interactions, protein to protein interactions and as well drug treatment hypotheses. Furthermore, one can easily access potential researcher information, monitor and evolve their networks and search for possible collaborators and software tools for creating biomedical informatics products. The application is designed to work with the ModelMaker, R, Neural Maestro, Lucene, EndNote and MindGenius applications to improve the quality and quantity of medical research. iBIOFind interfaces with both eNeoTutor and ModelMaker 2013 Web Services Implementation in .NET for eNeoTutor to aid instructors to build neuroscience courses as well as rare diseases. Added: Rare Disease Explorer: The Visualization of Rare Disease, Gene and Protein Networks application module. Cinematics for the Image Finder from Yale. The ability to automatically generate and update websites for rare diseases. Cytoscape integration for the construction and visualization of pathways for Molecular targets of Model Organisms. Productivity metrics for medical researchers in rare diseases. iBIOFind 2013 database now includes over 150 medical schools in the US along with Clinical Translational Science Award Institutions for the generation of biomedical knowledge, biomedical informatics and Researcher Profiles. | workflow, model, prediction, research trend, rare disease, resource discovery, biomedicine, genomic, neural network, visualization, reporting, search engine, genetic, neural, clinical translation science award, biomedical resource, funding, gene, protein, neuron, collaborator, publication, trend, grant, funding opportunity, report |
is related to: ModelMaker is related to: Neural Maestro is related to: eNeoTutor is related to: Cytoscape is related to: Biomedical Resource Ontology is related to: PubMed has parent organization: The Cromwell Workshop |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_153829 | SCR_001587 | 2026-08-29 11:21:03 | 0 | ||||||||
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PLINK Resource Report Resource Website 10000+ mentions Issue |
PLINK (RRID:SCR_001757) | data analysis software, data processing software, software application, software resource, software toolkit | Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software. | gene, genetic, genomic, genotype, phenotype, copy number variant, whole-genome association, population, linkage analysis, whole-genome association study, data management, summary statistics, population stratification, association analysis, identity-by-descent estimation |
is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is listed by: SoftCite is related to: Whap is related to: PLINK/SEQ is related to: Haploview is related to: MendelIHT.jl |
PMID:17701901 DOI:10.1086/519795 |
Free, Available for download, Freely Available | nlx_154200, OMICS_00206, SCR_021271 | https://zzz.bwh.harvard.edu/plink/, https://www.cog-genomics.org/plink/1.9/general_usage#cite, https://sources.debian.org/src/plink/ | http://pngu.mgh.harvard.edu/~purcell/plink/ | SCR_001757 | PLINK 1.9, PLINK/SEQ, plink - Whole genome association analysis toolset | 2026-08-29 11:20:50 | 16581 | |||||
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ASPGD Resource Report Resource Website 100+ mentions |
ASPGD (RRID:SCR_002047) | ASPGD, ASPGD LOCUS, ASPGD REF | data or information resource, data repository, database, service resource, storage service resource | Database of genetic and molecular biological information about the filamentous fungi of the genus Aspergillus including information about genes and proteins of Aspergillus nidulans and Aspergillus fumigatus; descriptions and classifications of their biological roles, molecular functions, and subcellular localizations; gene, protein, and chromosome sequence information; tools for analysis and comparison of sequences; and links to literature information; as well as a multispecies comparative genomics browser tool (Sybil) for exploration of orthology and synteny across multiple sequenced Sgenus species. Also available are Gene Ontology (GO) and community resources. Based on the Candida Genome Database, the Aspergillus Genome Database is a resource for genomic sequence data and gene and protein information for Aspergilli. Among its many species, the genus contains an excellent model organism (A. nidulans, or its teleomorph Emericella nidulans), an important pathogen of the immunocompromised (A. fumigatus), an agriculturally important toxin producer (A. flavus), and two species used in industrial processes (A. niger and A. oryzae). Search options allow you to: *Search AspGD database using keywords. *Find chromosomal features that match specific properties or annotations. *Find AspGD web pages using keywords located on the page. *Find information on one gene from many databases. *Search for keywords related to a phenotype (e.g., conidiation), an allele (such as veA1), or an experimental condition (e.g., light). Analysis and Tools allow you to: *Find similarities between a sequence of interest and Aspergillus DNA or protein sequences. *Display and analyze an Aspergillus sequence (or other sequence) in many ways. *Navigate the chromosomes set. View nucleotide and protein sequence. *Find short DNA/protein sequence matches in Aspergillus. *Design sequencing and PCR primers for Aspergillus or other input sequences. *Display the restriction map for a Aspergillus or other input sequence. *Find similarities between a sequence of interest and fungal nucleotide or protein sequences. AspGD welcomes data submissions. | function, gene, gene name, annotation, aspergillus, aspergillus nidulans, chromosome, community, dna, genome, genomic, localization, orthology, phenotype, protein, protein-coding genes, s. cerevisiae, sequence, allele, data analysis service, bio.tools, FASEB list |
is used by: NIF Data Federation is listed by: bio.tools is listed by: Debian is related to: Candida Genome Database is related to: AmiGO has parent organization: Stanford University School of Medicine; California; USA has parent organization: Broad Institute |
NIAID R01 AI077599 | PMID:19773420 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-12244, biotools:aspgd | http://www.aspergillusgenome.org/, https://bio.tools/aspgd | SCR_002047 | Aspergillus Genome Database, ASPGD REF, ASPGD LOCUS | 2026-08-29 11:21:10 | 218 | ||||
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Wellcome Trust Case Control Consortium Resource Report Resource Website 100+ mentions |
Wellcome Trust Case Control Consortium (RRID:SCR_001973) | WTCCC | data or information resource | Consortium of 50 research groups across the UK to harness the power of newly-available genotyping technologies to improve our understanding of the aetiological basis of several major causes of global disease. The consortium has gathered genotype data for up to 500,000 sites of genome sequence variation (single nucleotide polymorphisms or SNPs) in samples ascertained for the disease phenotypes. Analysis of the genome-wide association data generated has lead to the identification of many SNPs and genes showing evidence of association with disease susceptibility, some of which will be followed up in future studies. In addition, the Consortium has gained important insights into the technical, analytical, methodological and biological aspects of genome-wide association analysis. The core of the study comprised an analysis of 2,000 samples from each of seven diseases (type 1 diabetes, type 2 diabetes, coronary heart disease, hypertension, bipolar disorder, rheumatoid arthritis and Crohn's disease). For each disease, the case samples have been ascertained from sites widely distributed across Great Britain, allowing us to obtain considerable efficiencies by comparing each of these case populations to a common set of 3,000 nationally-ascertained controls also from England, Scotland and Wales. These controls come from two sources: 1,500 are representative samples from the 1958 British Birth Cohort and 1,500 are blood donors recruited by the three national UK Blood Services. One of the questions that the WTCCC study has addressed relates to the relative merits of these alternative strategies for the generation of representative population cohorts. Genotyping for this main Case Control study was conducted by Affymetrix using the (commercial) Affymetrix 500K chip. As part of this study a total of 17,000 samples were typed for 500,000 SNPs. There are two additional components to the study. First, the WTCCC award is part-funding a study of host resistance to infectious diseases in African populations. The same approach has been used to type 2,000 cases of tuberculosis (TB) and 2,000 cases of malaria, as well as 2,000 shared controls. As well as addressing diseases of major global significance, and extending WTCCC coverage into the area of infectious disease, the inclusion of samples of African origin has obvious benefits with respect to methodological aspects of genome-wide association analysis. Second, the WTCCC has, for four additional diseases (autoimmune thyroid disease, breast cancer, ankylosing spondylitis, multiple sclerosis), completed an analysis of 15,000 SNPs designed to represent a large proportion of the known non-synonymous coding SNPs across the genome. This analysis has been performed at the WTSI using a custom Infinium chip (Illumina). Data release The genotypic data of the control samples (1958 British Birth Cohort and UK Blood Service) and from seven diseases analyzed in the main study are now available to qualified researchers. Summary genotype statistics for these collections are available directly from the website. Access to the individual-level genotype data and summary genotype statistics is by application to the Consortium Data Access Committee (CDAC) and approval subject to a Data Access Agreement. WTCCC2: A further round of GWA studies were funded in April 2008. These include 15 WTCCC-collaborative studies and 12 independent studies be supported totaling approximately 120,000 samples. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC2 will perform genome-wide association studies in 13 disease conditions: Ankylosing spondylitis, Barrett's oesophagus and oesophageal adenocarcinoma, glaucoma, ischaemic stroke, multiple sclerosis, pre-eclampsia, Parkinson's disease, psychosis endophenotypes, psoriasis, schizophrenia, ulcerative colitis and visceral leishmaniasis. WTCCC2 will also investigate the genetics of reading and mathematics abilities in children and the pharmacogenomics of statin response. Over 60,000 samples will be analyzed using either the Affymetrix v6.0 chip or the Illumina 660K chip. The WTCCC2 will also genotype 3,000 controls each from the 1958 British Birth cohort and the UK Blood Service control group, and the 6,000 controls will be genotyped on both the Affymetrix v6.0 and Illumina 1.2M chips. WTCCC3: The Wellcome Trust has provided support for a further round of GWA studies in January 2009. These include 5 WTCCC-collaborative studies to be carried out in WTCCC3 and 5 independent studies, across a range of diseases. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC3 will perform genome-wide association studies in the following 4 disease conditions: primary biliary cirrhosis, anorexia nervosa, pre-eclampsia in UK subjects, and the interactions between donor and recipient DNA related to early and late renal transplant dysfunction. The WTCCC3 will also carry out a pilot in a study of the genetics of host control of HIV-1 infection. Over 40,000 samples will be analyzed using the Illumina 660K chip. The WTCCC3 will utilize the 6,000 control genotypes generated by the WTCCC2. | gene, genomic, genetics, microarray, genome-wide association study, snp, genome-wide association, blood, dna, genotype, variation, genome, sequence variant, copy number variation, genetic variation, phenotype, disease |
is related to: Psychiatric Genomics Consortium has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Bipolar disorder, Coronary artery disease, Crohn's disease, Rheumatoid arthritis, Type 1 diabetes, Type 2 diabetes, Hypertension, Control, Multiple sclerosis, Breast cancer, Ankylosing spondylitis, Autoimmune thyroid disease, Malaria, Tuberculosis, Inflammatory bowel disease, Barrett's esophagus, Esophageal adenocarcinoma, Glaucoma, Ischemic stroke, Pre-eclampsia, Parkinson's disease, Psychosis endophenotypes, Psoriasis, Schizophrenia, Ulcerative colitis, Visceral leishmaniasis, Primary biliary cirrhosis, Anorexia nervosa, Human immunodeficiency virus, Renal transplant dysfunction, Diabetes | Wellcome Trust ; Bill and Melinda Gates Foundation ; Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
PMID:17554300 | Access to summary data and individual-level genotype data is available by application to the Wellcome Trust Case Control Consortium Data Access Committee. Access to data will be granted to qualified investigators for appropriate use. | nif-0000-10551 | SCR_001973 | Wellcome Trust Case-Control Consortium (WTCCC) | 2026-08-29 11:21:09 | 221 | ||||
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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) | data computation service, data or information resource, database, organization portal, 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 | 2026-08-29 11:21:08 | 6 | ||||||||||
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SNPSTATS Resource Report Resource Website 500+ mentions |
SNPSTATS (RRID:SCR_002142) | SNPStats | analysis service resource, data analysis service, production service resource, service resource, software resource, source code | A web-based application designed from a genetic epidemiology point of view to analyze association studies using single nucleotide polymorphisms (SNPs). For each selected SNP, you will receive: * Allele and genotype frequencies * Test for Hardy-Weinberg equilibrium * Analysis of association with a response variable based on linear or logistic regression * Multiple inheritance models: co-dominant, dominant, recessive, over-dominant and additive * Analysis of interactions (gene-gene or gene-environment) If multiple SNPs are selected: * Linkage disequilibrium statistics * Haplotype frequency estimation * Analysis of association of haplotypes with the response * Analysis of interactions (haplotypes-covariate) | gene, genetic, genomic, single nucleotide polymorphism, association study, genetic, epidemiology, allele, frequency, genotype, allele frequency, genotype frequency, hardy-weinberg equilibrium, linkage disequilibrium, haplotype frequency, haplotype, interaction, haplotypes-covariate, association, linear regression, logistic regression, inheritance model, co-dominant, dominant, recessive, over-dominant, additive, gene-gene, gene-environment |
is listed by: Genetic Analysis Software has parent organization: Autonomous University of Barcelona; Barcelona; Spain |
PMID:16720584 | Free, Available for download, Freely available | nlx_154650 | http://bioinfo.iconcologia.net/snpstats/ | SCR_002142 | SNP STATisticS | 2026-08-29 11:20:59 | 668 | |||||
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High Throughput Genomic Sequences Division Resource Report Resource Website 1+ mentions |
High Throughput Genomic Sequences Division (RRID:SCR_002150) | HTG Sequences, HTG Division | data or information resource, data repository, database, service resource, storage service resource | Database of high-throughput genome sequences from large-scale genome sequencing centers, including unfinished and finished sequences. It was created to accommodate a growing need to make unfinished genomic sequence data rapidly available to the scientific community in a coordinated effort among the International Nucleotide Sequence databases, DDBJ, EMBL, and GenBank. Sequences are prepared for submission by using NCBI's software tools Sequin or tbl2asn. Each center has an FTP directory into which new or updated sequence files are placed. Sequence data in this division are available for BLAST homology searches against either the htgs database or the month database, which includes all new submissions for the prior month. Unfinished HTG sequences containing contigs greater than 2 kb are assigned an accession number and deposited in the HTG division. A typical HTG record might consist of all the first-pass sequence data generated from a single cosmid, BAC, YAC, or P1 clone, which together make up more than 2 kb and contain one or more gaps. A single accession number is assigned to this collection of sequences, and each record includes a clear indication of the status (phase 1 or 2) plus a prominent warning that the sequence data are unfinished and may contain errors. The accession number does not change as sequence records are updated; only the most recent version of a HTG record remains in GenBank. | gap, gene, accession, arabidopsis, bac, biological, c. elegans, clone, contig, cosmid, dna, genomic, high-throughput, homology, homo sapiens, invertebrate, nematode, nucleotide, p1, plant, primate, sequence, structure, taxonomy, yac, genome, sequence, nucleotide sequence, dna sequence, nucleotide, dna, gold standard |
is related to: GenBank has parent organization: NCBI |
PMID:9331365 | Free, Freely available | nif-0000-20943 | SCR_002150 | HTG GenBank Division, HTG database, NCBI High-Throughput Genomic Sequences, HTG Sequence, High-Throughput Genomic Sequences | 2026-08-29 11:20:59 | 5 | ||||||
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Arvados Resource Report Resource Website 1+ mentions |
Arvados (RRID:SCR_002223) | arvados | data repository, service resource, storage service resource | Bioinformatics platform for storing, organizing, processing, and sharing genomic and other biomedical big data. Designed to make it easier for bioinformaticians to develop analyses, developers to create genomic web applications and IT administers to manage large-scale compute and storage genomic resources. Designed to run on top of cloud operating systems such as Amazon Web Services and OpenStack. Currently, there are implementations that work on AWS and Xen+Debian/Ubuntu. Functionally, Arvados has two major sets of capabilities: (a) data management and (b) compute management. | mapreduce/hadoop, genomic, biomedical, data sharing, compute, data management, cloud | is listed by: Debian | Free, Freely available | OMICS_01835 | https://sources.debian.org/src/arvados/ | SCR_002223 | 2026-08-29 11:21:12 | 3 | |||||||
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ARK-Genomics: Centre for Functional Genomics Resource Report Resource Website 10+ mentions |
ARK-Genomics: Centre for Functional Genomics (RRID:SCR_002214) | ARK Genomics | access service resource, core facility, data or information resource, database, organization portal, portal, service resource | Portal for studies of genome structure and genetic variation, gene expression and gene function. Provides services including DNA sequencing of model and non-model genomes using both Next Generation and Sanger sequencing , Gene expression analysis using both microarrays and Next Generation Sequencing, High throughput genotyping of SNP and copy number variants, Data collection and analysis supported in-house high performance computing facilities and expertise, Extensive EST clone collections for a number of animal species, all of commercially available microarray tools from Affymetrix, Illumina, Agilent and Nimblegen, Parentage testing using microsatellites and smaller SNP panels. ARK-Genomics has developed network of researchers whom they support through each stage of their genomics research, from grant application, experimental design and technology selection, performing wet laboratory protocols, through to analysis of data often in conjunction with commercial partners. | gene expression, farm, function, gene, genetic, animal, dna, genome, genomic, genotype, knowledge base, model, structure, variation, job, comparative genome hybridization, parentage testing, microsatellite |
is listed by: ScienceExchange is related to: Roslin Institute Labs and Facilities has parent organization: Roslin Institute works with: University of Edinburgh GenePool Next Generation Sequencing and Bioinformatics |
BBSRC | Free, Freely available | nif-0000-20966, SciEx_157 | https://genomics.ed.ac.uk/ | SCR_002214 | ARK Genomics, Roslin Institute ARK-Genomics | 2026-08-29 11:21:12 | 13 | |||||
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SAMTOOLS Resource Report Resource Website 10000+ mentions |
SAMTOOLS (RRID:SCR_002105) | SAMtools | data analysis software, data processing software, sequence analysis software, software application, software resource, software toolkit | Original SAMTOOLS package has been split into three separate repositories including Samtools, BCFtools and HTSlib. Samtools for manipulating next generation sequencing data used for reading, writing, editing, indexing,viewing nucleotide alignments in SAM,BAM,CRAM format. BCFtools used for reading, writing BCF2,VCF, gVCF files and calling, filtering, summarising SNP and short indel sequence variants. HTSlib used for reading, writing high throughput sequencing data. | Samtools, BCFtools, HTSlib, next generation sequencing, nucleotide alignments, sequence variant, genomic, c, perl, read, alignment, nucleotide, sequence, data, process, sam, bam, cram, vcf, bcf, bio.tools |
is used by: deFuse is used by: Short Read Sequence Typing for Bacterial Pathogens is used by: ROSE is used by: Fcirc is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: SNVer is listed by: Debian is listed by: bio.tools is listed by: SoftCite is related to: Platypus is related to: shovill is related to: pysam has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom is parent organization of: SAMtools/BCFtools is required by: RelocaTE is required by: Wessim is required by: SL-quant is required by: smMIPfil |
NHGRI U54 HG002750; Wellcome Trust |
PMID:19505943 PMID:21903627 DOI:10.1093/bioinformatics/btp352 |
Free, Available for download, Freely available | SCR_018682, biotools:samtools, OMICS_01074, nlx_154607, OMICS_00090 | https://github.com/samtools/samtools, https://github.com/samtools/htslib, https://bio.tools/samtools, https://sources.debian.org/src/samtools/ | http://samtools.sourceforge.net/ | SCR_002105 | samtools, Samtools, Sequence Alignment Map TOOLS, SAMtools, SAM tools | 2026-08-29 11:21:12 | 33299 | |||
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GMATo Resource Report Resource Website 1+ mentions |
GMATo (RRID:SCR_000165) | data analysis software, data processing software, sequence analysis software, software application, software resource | A software tool used for simple sequence repeats (SSR) or microsatellite characterization. It also facilitates SSR marker design on a genomic scale, microsatellite mining at any length, and comprehensive statistical analysis for DNA sequences in any genome at any size. Analysis parameters are customizable. | simple sequence repeat, ssr, microsatellite, genomic, marker design, sequence analysis software |
is listed by: OMICtools has parent organization: SourceForge |
PMID:23861572 | Free, Available for download, Freely available | OMICS_00106 | SCR_000165 | Genome-wide Microsatellite Analyzing Tool, Genome Microsatellite Analyzing Tool, Genome-wide Microsatellite Analyzing Tool (GMATo) | 2026-08-29 11:20:24 | 1 | |||||||
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GPViz Resource Report Resource Website |
GPViz (RRID:SCR_000346) | GPViz | software resource | A versatile Java-based software used for dynamic gene-centered visualization of genomic regions and/or variants. | gene, visualization, genomic, variant, bioinformatics, java | is listed by: OMICtools | Free, Available for download, Freely available | OMICS_00915 | SCR_000346 | 2026-08-29 11:20:23 | 0 | ||||||||
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GARBAN Resource Report Resource Website |
GARBAN (RRID:SCR_005778) | GARBAN | analysis service resource, data analysis service, production service resource, service resource, software resource, source code | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 12, 2012. GARBAN is a tool for analysis and rapid functional annotation of data arising from cDNA microarrays and proteomics techniques. GARBAN has been implemented with bioinformatic tools to rapidly compare, classify, and graphically represent multiple sets of data (genes/ESTs, or proteins), with the specific aim of facilitating the identification of molecular markers in pathological and pharmacological studies. GARBAN has links to the major genomic and proteomic databases (Ensembl, GeneBank, UniProt Knowledgebase, InterPro, etc.), and follows the criteria of the Gene Ontology Consortium (GO) for ontological classifications. Source may be shared: e-mail garban (at) ceit.es. Platform: Online tool | cdna microarray, proteomics, cdna, microarray, statistical analysis, gene, est, protein, genomic, gene ontology |
is listed by: Gene Ontology Tools is related to: Gene Ontology |
PMID:14594726 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149247 | http://garban.tecnun.es | SCR_005778 | Genomic Analysis and Rapid Biological ANnotation, University of Navarra; Pamplona; Spain | 2026-08-29 11:22:24 | 0 |
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