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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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mirEX Resource Report Resource Website 10+ mentions |
mirEX (RRID:SCR_006060) | mirEX | analysis service resource, atlas, data analysis service, data or information resource, database, production service resource, service resource | mirEX is a comprehensive platform for comparative analysis of primary microRNA expression data. quantitative real-time PCR-based gene expression profiles are stored in a universal and expandable database scheme and wrapped by an intuitive user-friendly interface. A new way of accessing gene expression data in mirEX includes a simple mouse operated querying system and dynamic graphs for data mining analyses. In contrast to other publicly available databases, the mirEX interface allows a simultaneous comparison of expression levels between various microRNA genes in diverse organs and developmental stages. Currently, mirEX integrates information about the expression profile of 190 Arabidopsis thaliana pri-miRNAs in seven different developmental stages: seeds, seedlings and various organs of mature plants. Additionally, by providing RNA structural models, publicly available deep sequencing results, experimental procedure details and careful selection of auxiliary data in the form of web links, mirEX can function as a one-stop solution for Arabidopsis microRNA information. This database aims to be useful to anyone investigating the role of microRNAs in shaping plant development, organ formation and response to different biotic and abiotic stresses. To start exploring the database just press the "Browse Atlas" button or search for a particular microRNA record by typing at least two numbers from its ID in the window. | microrna gene expression, microrna, gene expression, gene, organ, developmental stage, plant, seed, seedling, mature plant, pri-mirna, biotic stress, abiotic stress, organ formation, primer, cdna | has parent organization: Adam Mickiewicz University in Poznan; Poznan; Poland | Foundation for Polish Science ; European Union ; Regional Development Fund MPD 2010/3; Polish Ministry of Science and Higher Education 3011/B/P01/2009/37 |
PMID:22013167 | nlx_151462 | http://bioinfo.amu.edu.pl/mirex | SCR_006060 | 2026-09-05 06:25:46 | 10 | ||||||
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Research Accelerator Resource Report Resource Website 1+ mentions |
Research Accelerator (RRID:SCR_006051) | UCSD Research Accelerator | community building portal, data or information resource, database, portal, service resource | Software platform that allows researchers to easily collaborate on research and share reagents, antibodies, cell lines and more. It is designed to increase scientific collaboration across disciplines and geographical boundaries. Among the institutions now using the platform include Yale University, U of Pennsylvania, U of Chicago, Washington U, Cambridge University, University College London. The platform is licensed to select institutions. ResearchAccelerator.org allows researchers to form targeted, data driven collaborations. Researchers can search for data based on gene, disease and pathway, and they can post data which would otherwise be orphaned. The resulting collaborations, which are likely to be transdisciplinary, can greatly amplify impact and research productivity. | collaboration, transdisciplinary research, gene, pathway, disease, cell line, data, human sample, laboratory protocol, medical device, equipment, resource, reagent, research project, transgenic animal, knock out animal, validated antibody, yale keck proteomics assay, allergy, immunology, bone, joint, orthopedic, cancer, cardiovascular, gastroenterology, infectious disease, neurologic disease, organ transplantation, psychiatric disease, reproductive disease, vascular disease, sharing, material resource |
is used by: University College London; London; United Kingdom is used by: University of Cambridge; Cambridge; United Kingdom is used by: Washington University in St. Louis; Missouri; USA is used by: University of Chicago; Illinois; USA is used by: University of Pennsylvania; Philadelphia; USA is used by: Yale University; Connecticut; USA has parent organization: University of California at San Diego; California; USA |
Allergy, Immunology, Bone, Joint, Orthopedic, Cancer, Cardiovascular, Gastroenterology, Infectious Disease, Neurologic disease, Organ Transplantation, Psychiatric disease, Reproductive disease, Vascular disease | The community can contribute to this resource | nlx_151451 | SCR_006051 | ResearchAccelerator.org, ResearchAccelerator | 2026-09-05 06:25:46 | 1 | ||||||
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OGEE - Online GEne Essentiality database Resource Report Resource Website 1+ mentions |
OGEE - Online GEne Essentiality database (RRID:SCR_006080) | OGEE, OGEEdb | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Online GEne Essentiality database containing genes that were tested experimentally for essentiality and their features; it also provides a set of tools to systematically explore and analyze these data. The main purpose of this project is to better understand gene essentiality by facilitating the comparisons of the differences and similarities between essential and non-essential genes. This is achieved by collecting not only experimentally tested essential and non-essential genes, but also associated gene features such as expression profiles, duplication status, conservation across species, evolutionary origins and involvement in embryonic development. We focus on large-scale experiments and complement our data with text-mining results. Genes are organized into data sets according to their sources. Genes with variable essentiality status across data sets are tagged as conditionally essential, highlighting the complex interplay between gene functions and environments. Linked tools allow the user to compare gene essentiality among different gene groups, or compare features of essential genes to non-essential genes, and visualize the results. Why is it different from existing databases? * we included both essential and non-essential genes so that we could better understand the gene essentiality by comparing the similarities and differences between the two gene sets; * we compiled a list of features for each gene, including whether they are duplicates or involved in development, the number of other homologous genes in the same genome, as well as their earliest expression stages during development. These features are keys to understand the essentiality of genes; * we also provide a set of tools to explore our data and visualize the results. For example, users can simply divide genes into two groups according to whether they are duplicates, calculate the proportion of essential genes (PE%) in each group and then visualize the results in a bar plot; or they can classify genes into multiple groups according to their earliest expression stages during evolution, compare the essentiality of genes that were expressed earlier with those were latter, and plot the results in a line chart. | genome-wide association study, essentiality, gene, essential gene, non-essential gene, growth, expression profile, duplication status, conservation, evolutionary origin, embryonic development, text-mining, gene function, environment, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: European Molecular Biology Laboratory |
BMBF 0315450C | PMID:22075992 | Free | nlx_151488, biotools:ogee | https://bio.tools/ogee | SCR_006080 | Online GEne Essentiality database | 2026-09-05 06:25:46 | 2 | ||||
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ICEberg Resource Report Resource Website 50+ mentions |
ICEberg (RRID:SCR_006026) | ICEberg | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | ICEberg is an integrated database that provides comprehensive information about integrative and conjugative elements (ICEs) found in bacteria. ICEs are conjugative self-transmissible elements that can integrate into and excise from a host chromosome. An ICE contains three typical modules, integration and excision, conjugation, and regulation modules, that collectively promote vertical inheritance and periodic lateral gene flow. Many ICEs carry likely virulence determinants, antibiotic-resistant factors and/or genes coding for other beneficial traits. ICEberg offers a unique, highly organized, readily explorable archive of both predicted and experimentally supported ICE-relevant data. It currently contains details of 428 ICEs found in representatives of 124 bacterial species, and a collection of >400 directly related references. A broad range of similarity search, sequence alignment, genome context browser, phylogenetic and other functional analysis tools are readily accessible via ICEberg. ICEberg will facilitate efficient, multidisciplinary and innovative exploration of bacterial ICEs and be of particular interest to researchers in the broad fields of prokaryotic evolution, pathogenesis, biotechnology and metabolism. The ICEberg database will be maintained, updated and improved regularly to ensure its ongoing maximum utility to the research community. | dna, protein, sequence, chromosome, element, gene, similarity search, sequence alignment, genome, phylogenetic, functional analysis, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools has parent organization: Shanghai Jiao Tong University; Shanghai; China |
National Natural Science Foundation of China 973 program 2009CB118901; National Natural Science Foundation of China 973 program 2012CB721002; National Natural Science Foundation of China 863 program 2011BAD23B05-3; Ministry of Science and Technology China ; Ministry of Education China NCET-10-0572; Shanghai Jiaotong University ; Shanghai Municipality ; Action Medical Research SP4255; Innovation Fellowship ; East Midlands Development Agency |
PMID:22009673 | nlx_151424, biotools:iceberg | https://bio.tools/iceberg | SCR_006026 | ICEberg: a web-based resource for integrative and conjugative elements found in Bacteria | 2026-09-05 06:25:46 | 89 | |||||
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GenNav Resource Report Resource Website 1+ mentions |
GenNav (RRID:SCR_000147) | GenNav | data access protocol, software resource, web service | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. GenNav searches GO terms and annotated gene products, and provides a graphical display of a term's position in the GO DAG. | image, gene, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: National Library of Medicine |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149123 | SCR_000147 | 2026-09-05 06:24:12 | 1 | ||||||||
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Cistrome Resource Report Resource Website 10+ mentions |
Cistrome (RRID:SCR_000242) | data access protocol, software resource, web service | Web based integrative platform for transcriptional regulation studies. | Transcriptional, regulation, Chip, data, analysis, genome, gene, expression, motif, mining, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Galaxy has parent organization: Harvard University; Cambridge; United States |
Dana-Farber Cancer Institute High Tech and Campaign Technology Fund ; National Basic Research Program of China ; NHGRI HG004069; NIDDK DK062434; NIDDK DK074967 |
PMID:21859476 | Free, Freely available | SCR_017663, biotools:cistrome, OMICS_02173 | http://cistrome.org/ap/root, https://bio.tools/cistrome | SCR_000242 | Galaxy Cistrome | 2026-09-05 06:24:15 | 17 | |||||
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GISTIC Resource Report Resource Website 50+ mentions |
GISTIC (RRID:SCR_000151) | GISTIC | software resource | Software to identify genes targeted by somatic copy-number alterations (SCNAs) that drive cancer growth. By separating SCNA profiles into underlying arm-level and focal alterations, they improve the estimation of background rates for each category. | somatic copy-number alteration, gene |
is listed by: OMICtools has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; |
Cancer | PMID:21527027 | Free, Available for download, Freely available | OMICS_02296 | SCR_000151 | GISTIC2.0, GISTIC 2.0, GISTIC 2 | 2026-09-05 06:24:12 | 58 | |||||
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DGIdb Resource Report Resource Website 100+ mentions |
DGIdb (RRID:SCR_006608) | DGIdb | application programming interface, data access protocol, data or information resource, database, software resource | A database of drug-gene relationships that provides drug-gene interactions and potential druggability data given list of genes. There are about 15 data sources that are being aggregated by DGIdb, with update date and these data sources are listed on this page: http://dgidb.genome.wustl.edu/sources, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | drug, gene, interaction, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Washington University in St. Louis; Missouri; USA |
Cancer | NHGRI U54 HG003079 | PMID:24122041 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_155686, biotools:DGIdb, OMICS_01579 | https://bio.tools/DGIdb | SCR_006608 | Drug-Gene Interaction database, Drug Gene Interaction Database | 2026-09-05 06:25:57 | 408 | |||
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PROGENY Resource Report Resource Website 100+ mentions |
PROGENY (RRID:SCR_006647) | Progeny | commercial organization, data management software, software application, software resource | Fully customizable, comprehensive genetic pedigree and clinical data management software including a multi-user relational database with an integrated pedigree drawing component to manage genetic and pedigree data in one database. Manage Pedigrees, Individuals, SNPs, STRs, Samples, Plates, Genotypes and exports to multiple analysis platforms. (entry from Genetic Analysis Software) * LIMS software, providing advanced sample tracking and management (including functionality to generate and record barcodes) and configurable workflows for your specific environment. * Full genotype management gives users the ability to track not only family-based studies, but Whole Genome Association studies containing 1000''s of samples with large arrays. | gene, genetic, genomic, c++, active x control, ms-windows, pedigree, clinical, genotype, data management, drawing, family history, questionnaire, sample, lab management, FASEB list |
is listed by: OMICtools is listed by: Genetic Analysis Software |
nlx_154553, OMICS_00216 | SCR_006647 | Progeny Software LLC, Progeny Software | 2026-09-05 06:25:58 | 416 | ||||||||
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CellFinder Resource Report Resource Website 10+ mentions |
CellFinder (RRID:SCR_006598) | CellFinder | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Database of mapped validated gene and protein expression, phenotype and images related to cell types. The data allow characterization and comparison of cell types and can be browsed by using the body browser and by searching for cells or genes. All cells are related to more complex systems such as tissues, organs and organisms and arranged according to their position in development. CellFinder provides long-term data storage for validated and curated primary research data and provides additional expert-validation through relevant information extracted from text. Operated under the Open Source/Access model, community and scientific networking applications will allow users to store and retrieve their data and to explore cells and their interactions on singular and complex resolution levels. The involvement of stem cell registries and banks will allow direct access to selected cells. The set up the stem cell data repository will involve three lines of action: * the acquisition of scientific data and contents * the standardized description of this data, its organization with the help of ontologies and technical implementation * the integration of existing sources/logistics and to ensure sustainable long-term operation | cell, gene expression, protein expression, phenotype, image, gene, stem cell, cellome, metadata standard, stem cell therapy, differential expression, protein, cell type, development, adrenal gland, gall bladder, intestine, inferior vena cava, kidney, liver, spleen |
is related to: Allen Institute for Brain Science has parent organization: Charite - Universitatsmedizin Berlin; Berlin; Germany is parent organization of: CELDA Ontology |
BMBF ; DFG |
PMID:23599415 | nlx_153857 | SCR_006598 | Cell Finder | 2026-09-05 06:25:57 | 31 | ||||||
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Pseudomonas Genome Database Resource Report Resource Website 500+ mentions |
Pseudomonas Genome Database (RRID:SCR_006590) | PseudoCAP | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Database of peer-reviewed, continually updated annotation for the Pseudomonas aeruginosa PAO1 reference strain genome expanded to include all Pseudomonas species to facilitate cross-strain and cross-species genome comparisons with high quality comparative genomics. The database contains robust assessment of orthologs, a novel ortholog clustering method, and incorporates five views of the data at the sequence and annotation levels (Gbrowse, Mauve and custom views) to facilitate genome comparisons. Other features include more accurate protein subcellular localization predictions and a user-friendly, Boolean searchable log file of updates for the reference strain PAO1. The current annotation is updated using recent research literature and peer-reviewed submissions by a worldwide community of PseudoCAP (Pseudomonas aeruginosa Community Annotation Project) participating researchers. If you are interested in participating, you are invited to get involved. Many annotations, DNA sequences, Orthologs, Intergenic DNA, and Protein sequences are available for download. | gene, genome, annotation, localization, prokaryote, pseudomonas aeruginosa, sequence, subcellular, cystic fibrosis, ortholog, annotation, dna sequence, intergenic dna, protein sequence, bio.tools, FASEB list |
is used by: NIF Data Federation is listed by: Debian is listed by: bio.tools is related to: AmiGO has parent organization: Simon Fraser University; British Columbia; Canada has parent organization: University of British Columbia; British Columbia; Canada |
Cystic Fibrosis Foundation Therapeutics Inc | PMID:18978025 | nif-0000-03369, r3d100012086, biotools:pseudomonas_genome_database | https://bio.tools/pseudomonas_genome_database, https://doi.org/10.17616/R3935H | SCR_006590 | Pseudomonas Genome Database - Improving Disease Treatment Through Genome Research | 2026-09-05 06:25:57 | 543 | |||||
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MaizeGDB Resource Report Resource Website 1000+ mentions |
MaizeGDB (RRID:SCR_006600) | MaizeGDB | analysis service resource, data analysis service, data or information resource, data repository, database, organism-related portal, portal, production service resource, service resource, storage service resource, topical portal | Collection of data related to crop plant and model organism Zea mays. Used to synthesize, display, and provide access to maize genomics and genetics data, prioritizing mutant and phenotype data and tools, structural and genetic map sets, and gene models and to provide support services to the community of maize researchers. Data stored at MaizeGDB was inherited from the MaizeDB and ZmDB projects. Sequence data are from GenBank. Data are searchable by phenotype, traits, Pests, Gel Pattern, and Mutant Images. | zea mays, corn, model organism, genome, locus, metabolic pathway, genetics, genomics, sequence, gene product, function, literature reference, phenotype, trait, pest, gel pattern, mutant, blast, gene, image, corn, genotype-environment interaction, gene mapping, plant genome mapping, plant genome, gold standard, bio.tools, FASEB list |
is listed by: re3data.org is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: GenBank has parent organization: University of Maryland; Maryland; USA works with: Maize Database of Images and Genomes |
National Corn Growers Association ; NSF ; USDA/ARS ; USDA |
PMID:21624896 PMID:18769488 PMID:15888678 PMID:14681441 |
Free, Freely available, Acknowledgement requested, The community can contribute to this resource | OMICS_01655, biotools:MaizeDIG, nif-0000-03096, r3d100010795 | https://bio.tools/MaizeDIG, https://doi.org/10.17616/R3V32B | SCR_006600 | Maize Genetics and Genomics Database, MaizeGDB, MaizeGDB Locus | 2026-09-05 06:25:57 | 1047 | ||||
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Transdisciplinary Tobacco Use Research Centers Resource Report Resource Website |
Transdisciplinary Tobacco Use Research Centers (RRID:SCR_006858) | TTURC | data or information resource, disease-related portal, portal, topical portal | A transdisciplinary approach to the full spectrum of basic and applied research on tobacco use to reduce the disease burden of tobacco use, including: * Etiology of tobacco use and addiction * Impact of advertising and marketing * Prevention of tobacco use * Treatment of tobacco use and addiction * Identification of biomarkers of tobacco exposure * Identification of genes related to addiction and susceptibility to harm from tobacco Goals * Increase the number of investigators from relevant disciplines who focus on the study of tobacco use as part of transdisciplinary teams. * Generate basic research evidence to improve understanding of the etiology and natural history of tobacco use. * Produce evidence-based tobacco use interventions that can translate to the community and specific understudied or underserved populations. * Increase the number of evidence-based interventions that are novel, including the development, testing and dissemination of innovative behavioral treatments and prevention strategies based upon findings from basic research. * Train transdisciplinary investigators capable of conducting cutting-edge tobacco use research. * Increase the number of peer-reviewed publications in the areas of tobacco use, nicotine addiction, and treatment. | gene, genetic factor, addiction gene, behavioral treatment, biomarker, molecule, nicotine use disorder, prevention, psychosocial factor, smoking, smoking cessation, tobacco exposure, treatment, nicotine, prevention, tobacco, intervention | has parent organization: National Cancer Institute | Nicotine use disorder, Addiction | NCI ; NIDA ; NIAAA |
nif-0000-24133 | SCR_006858 | 2026-09-05 06:26:02 | 0 | |||||||
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Cscan Resource Report Resource Website 1+ mentions |
Cscan (RRID:SCR_006756) | Cscan | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Data resource that includes a large collection of genome-wide ChIP-Seq experiments performed on transcription factors (TFs), histone modifications, RNA polymerases and others. Enriched peak regions from the ChIP-Seq experiments are crossed with the genomic coordinates of a set of input genes, to identify which of the experiments present a statistically significant number of peaks within the input genes' loci. The input can be a cluster of co-expressed genes, or any other set of genes sharing a common regulatory profile. Users can thus single out which TFs are likely to be common regulators of the genes, and their respective correlations. Also, by examining results on promoter activation, transcription, histone modifications, polymerase binding and so on, users can investigate the effect of the TFs (activation or repression of transcription) as well as of the cell or tissue specificity of the genes' regulation and expression. | regulator, gene, genome-wide chip-seq, chip-seq, gene, genome | is listed by: OMICtools | PMID:22669907 | Free | OMICS_00529 | SCR_006756 | 2026-09-05 06:26:00 | 4 | |||||||
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BrainMaps.org Resource Report Resource Website 50+ mentions |
BrainMaps.org (RRID:SCR_006878) | BrainMaps | atlas, data or information resource, data repository, image repository, service resource, storage service resource | An interactive multiresolution brain atlas that is based on over 20 million megapixels of sub-micron resolution, annotated, scanned images of serial sections of both primate and non-primate brains and integrated with a high-speed database for querying and retrieving data about brain structure and function. Currently featured are complete brain atlas datasets for various species, including Macaca mulatta, Chlorocebus aethiops, Felis catus, Mus musculus, Rattus norvegicus, Tyto alba and many other vertebrates. BrainMaps is currently accepting histochemical, immunocytochemical, and tracer connectivity data, preferably whole-brain. In addition, they are interested in EM, MRI, and DTI data. | aves, brain connection, callicebus moloch, c. auratus, connectivity, monodelphis, o. anatinus, tachyglossidae, brain mapping, virtual microscopy, brain atlas, non-primate, nissl stain, nissl, parvalbumin, smi-32, acetylcholinesterase, luxol fast blue, calbindin, myelin, neuroanatomy, image, brain structure, brain function, database, serial section, brain, tract tracing, coronal, horizontal, sagittal, web service, gene, FASEB list |
is used by: NIF Data Federation is used by: Integrated Datasets is used by: Integrated Nervous System Connectivity is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of California at Davis; California; USA |
NIMH 2 P20 MH60975; NIMH R01 MH77556 |
PMID:17229579 | Acknowledgement requested | nif-0000-00093, r3d100012117 | http://www.nitrc.org/projects/brainmaps, https://doi.org/10.17616/R3Q64W | SCR_006878 | BrainMaps: An Interactive Multiresolution Brain Atlas, BrainMaps.org: High Resolution Brain Atlases, BrainMaps | 2026-09-05 06:26:03 | 84 | ||||
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g:Profiler Resource Report Resource Website 1000+ mentions |
g:Profiler (RRID:SCR_006809) | analysis service resource, data access protocol, data analysis service, production service resource, service resource, software resource, web service | Web server for functional enrichment analysis and conversions of gene lists. Web based tool for functional profiling of gene lists from large scale experiments. Has web interface with powerful visualization. Used for analyzing data from any organism. | gene, high-throughput, genomics, visualization, statistical analysis, slimmer-type tool, term enrichment, protein interaction, functional similarity, analysis, coexpression, gene id, network enrichment analysis, orthology mapping, genomic locus, ontology or annotation visualization, other analysis, ortholog, functional profile, gene list, ontology, pathway, transcription factor, microrna, regulatory motif, protein-protein interaction, biomolecule, gene expression, gene, homology, single nucleotide polymorphism, dna polymorphism, chromosome, network analysis, disease gene, r |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology is related to: Ensembl is related to: Ensembl Genomes has parent organization: BIIT - Bioinformatics Algorithmics and Data Mining Group works with: gProfiler2 |
Estonian Research Council grants ; European Regional Development Fund for CoE of Estonian ICT research EXCITE projects |
PMID:21646343 PMID:17478515 PMID:31066453 |
Free, Freely available | OMICS_02223, nif-0000-31975 | SCR_006809 | G:Profiler, g:profiler, gProfiler | 2026-09-05 06:26:01 | 2310 | ||||||
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ENCODE Resource Report Resource Website 1000+ mentions |
ENCODE (RRID:SCR_006793) | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | Encyclopedia of DNA elements consisting of list of functional elements in human genome, including elements that act at protein and RNA levels, and regulatory elements that control cells and circumstances in which gene is active. Enables scientific and medical communities to interpret role of human genome in biology and disease. Provides identification of common cell types to facilitate integrative analysis and new experimental technologies based on high-throughput sequencing. Genome Browser containing ENCODE and Epigenomics Roadmap data. Data are available for entire human genome. | Encyclopedia, DNA, element, functional, human, genome, protein, RNA, level, regulatory, gene, active, disease, analysis |
uses: Segway - a way to segment the genome is used by: BioSample Database at EBI is used by: VizHub is used by: GEMINI is used by: Deep Blue Epigenomic Data Server is recommended by: National Library of Medicine is listed by: OMICtools is affiliated with: GENCODE is related to: Factorbook is related to: UCSC Genome Browser is related to: modENCODE is related to: UCSC Genome Browser is related to: Encode is related to: Broad Institute Genomics Platform has parent organization: University of California at Santa Cruz; California; USA |
NHGRI | PMID:21526222 | Free, Freely available | nif-0000-02797, r3d100013051, SCR_017493, OMICS_00532 | http://encodeproject.org/ENCODE/, https://www.genome.gov/Funded-Programs-Projects/ENCODE-Project-ENCyclopedia-Of-DNA-Elements, https://www.encodeproject.org/, https://doi.org/10.17616/R31NJMKB | SCR_006793 | ENCODE - Encyclopedia of DNA Elements, ENCODE + Epigenomics Roadmap Combined Data Browser, Encyclopedia of DNA Elements, Encyclopedia of DNA Elements (ENCODE) | 2026-09-05 06:26:01 | 4206 | |||||
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1000 Genomes: A Deep Catalog of Human Genetic Variation Resource Report Resource Website 5000+ mentions |
1000 Genomes: A Deep Catalog of Human Genetic Variation (RRID:SCR_006828) | 1000 Genomes | consortium, data or information resource, data set, database, organization portal, portal | International collaboration producing an extensive public catalog of human genetic variation, including SNPs and structural variants, and their haplotype contexts, in an effort to provide a foundation for investigating the relationship between genotype and phenotype. The genomes of about 2500 unidentified people from about 25 populations around the world were sequenced using next-generation sequencing technologies. Redundant sequencing on various platforms and by different groups of scientists of the same samples can be compared. The results of the study are freely and publicly accessible to researchers worldwide. The consortium identified the following populations whose DNA will be sequenced: Yoruba in Ibadan, Nigeria; Japanese in Tokyo; Chinese in Beijing; Utah residents with ancestry from northern and western Europe; Luhya in Webuye, Kenya; Maasai in Kinyawa, Kenya; Toscani in Italy; Gujarati Indians in Houston; Chinese in metropolitan Denver; people of Mexican ancestry in Los Angeles; and people of African ancestry in the southwestern United States. The goal Project is to find most genetic variants that have frequencies of at least 1% in the populations studied. Sequencing is still too expensive to deeply sequence the many samples being studied for this project. However, any particular region of the genome generally contains a limited number of haplotypes. Data can be combined across many samples to allow efficient detection of most of the variants in a region. The Project currently plans to sequence each sample to about 4X coverage; at this depth sequencing cannot provide the complete genotype of each sample, but should allow the detection of most variants with frequencies as low as 1%. Combining the data from 2500 samples should allow highly accurate estimation (imputation) of the variants and genotypes for each sample that were not seen directly by the light sequencing. All samples from the 1000 genomes are available as lymphoblastoid cell lines (LCLs) and LCL derived DNA from the Coriell Cell Repository as part of the NHGRI Catalog. The sequence and alignment data generated by the 1000genomes project is made available as quickly as possible via their mirrored ftp sites. ftp://ftp.1000genomes.ebi.ac.uk ftp://ftp-trace.ncbi.nlm.nih.gov/1000genomes | genetic variation, gene, next-generation sequencing, sequence, alignment, genome, single-nucleotide polymorphism, structural variant, haplotype, genome-wide association study, pharmacology, genetics, biomarker, consortium, data sharing, genotype, phenotype, FASEB list |
uses: NHGRI Sample Repository for Human Genetic Research is used by: BioSample Database at EBI is listed by: OMICtools is listed by: re3data.org is listed by: Consortia-pedia is related to: MOSAIK is related to: ART is related to: SNAP - SNP Annotation and Proxy Search has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom has parent organization: Harvard Medical School; Massachusetts; USA has parent organization: Broad Institute has parent organization: NCBI has parent organization: European Bioinformatics Institute has parent organization: National Human Genome Research Institute |
Wellcome Trust Sanger Institute; Hinxton; United Kingdom ; Beijing Genomics Institute; Shenzhen; China ; NHGRI ; 454 Life Sciences Roche ; Life Technologies ; Illumina |
Free, Public, Restrictions apply, Http://www.1000genomes.org/data#DataAccess | r3d100010180, nlx_143819, OMICS_00261 | https://doi.org/10.17616/R3CP4M | SCR_006828 | International 1000 Genomes Project, 1000 Genomes Project | 2026-09-05 06:26:02 | 5881 | |||||
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AASK Clinical Trial and Cohort Study Resource Report Resource Website |
AASK Clinical Trial and Cohort Study (RRID:SCR_006985) | AASK Cohort Study | clinical trial, data or information resource, disease-related portal, portal, research forum portal, resource, topical portal | Clinical trial investigating whether a specific class of antihypertensive drugs (beta-adrenergic blockers, calcium channel blockers, or angiotensin converting enzyme inhibitors) and/or the level of blood pressure would influence progression of hypertensive kidney disease in African Americans. The initiative consisting of 21 clinical centers and a data-coordinating center is followed by a Continuation of AASK Cohort Study to investigate the environmental, socio-economic, genetic, physiologic, and other co-morbid factors that influence progression of kidney disease in a well-characterized cohort of African Americans with hypertensive kidney disease. Only patients who were previously in the randomized trial are eligible for the cohort study. A significant discovery was made in the treatment strategy for slowing kidney disease caused by hypertension. Angiotensin-converting enzyme (ACE) inhibitors, compared with calcium channel blockers, were found to slow kidney disease progression by 36 percent, and they drastically reduced the risk of kidney failure by 48 percent in patients who had at least one gram of protein in the urine, a sign of kidney failure. ACE inhibitors have been the preferred treatment for hypertension caused by diabetes since 1994; however, calcium channel blockers have been particularly effective in controlling blood pressure in African Americans. The AASK study now recommends ACE inhibitors to protect the kidneys from the damaging effects of hypertension. The Continuation of AASK Cohort Study will be followed at the clinical centers. The patients will be provided with the usual clinical care given to all such patients at the respective centers. Baseline demographic information, selected laboratory tests, and other studies are being obtained at the initiation of the Continuation Study. The patients will be seen quarterly at the centers, and some selected studies done at these visits. Samples will be obtained and stored for additional studies and analyses at a later date. | african american, blood pressure, beta-adrenergic blocker, calcium channel blocker, angiotensin converting enzyme inhibitor, environment, socio-economic, genetic, physiology, co-morbid factor, gene, adult human, antihypertensive drug, clinical, treatment, longitudinal, demographics, laboratory test, biospecimen, biomaterial supply resource |
is listed by: One Mind Biospecimen Bank Listing is related to: NIDDK Information Network (dkNET) is related to: Chronic Renal Insufficiency Cohort Study |
End-stage renal disease, Kidney failure, Kidney disease, Hypertension, Hypertensive kidney disease | NIDDK | nlx_152750 | SCR_006985 | African American Study of Kidney Disease and Hypertension (AASK) Clinical Trial and Cohort Study, African American Study of Kidney Disease and Hypertension Clinical Trial and Cohort Study, Continuation of AASK Cohort Study, African American Study of Kidney Disease and Hypertension | 2026-09-05 06:26:05 | 0 | ||||||
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PhenoM - Phenomics of yeast Mutants Resource Report Resource Website |
PhenoM - Phenomics of yeast Mutants (RRID:SCR_006970) | PhenoM | analysis service resource, data analysis service, data or information resource, database, image collection, production service resource, service resource | Database of morphological phenotypes caused by mutation of essential genes in Saccharomyces cerevisiae, it allows storing, retrieving, visualizing and data mining the quantitative single-cell measurements extracted from micrographs of the temperature-sensitive (ts) mutant cells. PhenoM allows users to rapidly search and retrieve raw images and their quantified morphological data for genes of interest. The database also provides several data-mining tools, including a PhenoBlast module for phenotypic comparison between mutant strains and a Gene Ontology module for functional enrichment analysis of gene sets showing similar morphological alterations. About one-fifth of the genes in the budding yeast are essential for haploid viability and cannot be functionally assessed using standard genetic approaches such as gene deletion. To facilitate genetic analysis of essential genes, we and others have assembled collections of yeast strains expressing temperature-sensitive (ts) alleles of essential genes. To explore the phenotypes caused by essential gene mutation we used a panel of genetically engineered fluorescent markers to explore the morphology of cells in the ts strain collection using high-throughput microscopy. The database contains quantitative measurements of 1,909,914 cells and 78,194 morphological images for 775 temperature-sensitive mutants spanning 491 different essential genes in permissive temperature (26* C) and restrictive temperature (32* C). The morphological images were generated by high-content screening (HCS) technology. | phenomics, phenotype, yeast, mutant, cell, morphology, essential gene, gene, high-content screening, microscopy, micrograph, mutant cell, temperature-sensitive allele, allele, genetic analysis, blast, mutation, orf, actin, dna damage, nucleus, mitochondria, plasma membrane, mitotic spindle, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: University of Toronto; Ontario; Canada |
Ontario Research Fund ; Fudan University - University of Toronto Exchange Scholarship ; Canadian Institutes of Health Research GMX-201237; Canadian Institutes of Health Research GMX-211012; Canadian Foundation for Innovation LEF-21475 |
PMID:22009677 | Free | nlx_151489, biotools:phenom, r3d100012722 | https://bio.tools/phenom, https://doi.org/10.17616/R3GJ5J | SCR_006970 | Phenomics of yeast Mutants, Phenomics of yeast Mutants (PhenoM) | 2026-09-05 06:26:04 | 0 |
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