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Resource Name Proper Citation Abbreviations Resource Type Description Keywords Resource Relationships Related Condition Funding Defining Citation Availability Specification URL Alternate IDs Alternate URLs Old URLs Parent Organization Resource ID Synonyms Record Last Update Mentions Count
International Genomics of Alzheimers Project
 
Resource Report
Resource Website
International Genomics of Alzheimers Project (RRID:SCR_004029) IGAP consortium, data or information resource, data set, organization portal, portal Consortium to discover and map the genes that contribute to Alzheimer's disease and completely understand the role inheritance plays. To achieve this goal, they will work to identify all the genes that contribute to the risk of developing this disease. Investigators will have access to combined genetic data from a large number of Alzheimer's disease subjects and compare it to genetic data from an equally large number of elderly people who do not have Alzheimer's. In the initial phase of the work, more than 20,000 people with Alzheimer's and about 20,000 healthy elderly subjects will be compared. As the study progresses, 10,000 additional people with Alzheimer's and the same number of healthy elderly subjects will be added to the study. The subjects for these studies come from different Alzheimer research project locations across Europe, the UK, the US, and Canada. Data is available from their 2014 publication in Translational Psychiatry at http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3944635/ (http://www.ncbi.nlm.nih.gov/pubmed/24495969) Currently, there is no public access to the raw individual level genetic data because of privacy considerations. Researchers working with US cohorts deposit data in the database of genotypes and phenotypes (dbGaP), where it is available to all researchers who can show that they are able to guarantee the security of the data. After scanning the DNA of over 74,000 patients and controls from 15 countries, the IGAP consortium reported 11 new regions of the genome involved in late-onset Alzheimer's disease. IGAP published its results in Nature Genetics on October 27, http://www.ncbi.nlm.nih.gov/pubmed/24162737 gene, inheritance, late adult human, genome-wide association study, database, basic science, biomarker, dna, data sharing uses: NCBI database of Genotypes and Phenotypes (dbGap)
is listed by: Consortia-pedia
is related to: Alzheimers Association
is related to: Alzheimer's Plan Foundation
is related to: Makray Family Foundation
is related to: Alzheimers Disease Genetics Consortium
is related to: Cohorts for Heart and Aging Research in Genomic Epidemiology
is related to: Boston University School of Medicine; Massachusetts; USA
is related to: Cardiff University; Wales; United Kingdom
is related to: University of Pennsylvania Perelman School of Medicine; Pennsylvania; USA
is related to: Pasteur Institute of Lille; Lille; France
is related to: National Institute on Aging
is related to: Lille 2 University of Health and Law; Lille; France
has parent organization: Pasteur Institute of Lille; Lille; France
has parent organization: University of Pennsylvania Perelman School of Medicine; Pennsylvania; USA
has parent organization: Boston University School of Medicine; Massachusetts; USA
has parent organization: Cardiff University; Wales; United Kingdom
alz.org ;
Alzheimers Plan Foundation ;
Jim Prugh ;
Diane Fatheree ;
Makray Family Foundation
nlx_158457 SCR_004029 International Genomics of Alzheimer's Project 2026-09-12 12:56:07 0
Stem Cell Discovery Engine
 
Resource Report
Resource Website
50+ mentions
Stem Cell Discovery Engine (RRID:SCR_004453) SCDE analysis service resource, data or information resource, data repository, database, production service resource, service resource, software resource, source code, storage service resource An online database of curated cancer stem cell (CSC) experiments coupled to the Galaxy analytical framework. Driven by a need to improve our understanding of molecular processes that are common and unique across cancer stem cells (CSCs), the SCDE allows users to consistently describe, share and compare CSC data at the gene and pathway level. The initial focus has been on carefully curating tissue and cancer stem cell-related experiments from blood, intestine and brain to create a high quality resource containing 53 public studies and 1098 assays. The experimental information is captured and stored in the multi-omics Investigation/Study/Assay (ISA-Tab) format and can be queried in the data repository. A linked Galaxy framework provides a comprehensive, flexible environment populated with novel tools for gene list comparisons against molecular signatures in GeneSigDB and MSigDB, curated experiments in the SCDE and pathways in WikiPathways. Investigation/Study/Assay (ISA) infrastructure is the first general-purpose format and freely available desktop software suite targeted to experimentalists, curators and developers and that: * assists in the reporting and local management of experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships) from studies employing one or a combination of technologies; * empowers users to uptake community-defined minimum information checklists and ontologies, where required; * formats studies for submission to a growing number of international public repositories endorsing the tools, currently ENA (genomics), PRIDE (proteomics) and ArrayExpress (transcriptomics). Galaxy allows you to do analyses you cannot do anywhere else without the need to install or download anything. You can analyze multiple alignments, compare genomic annotations, profile metagenomic samples and much much more. Best of all, Galaxy''''s history system provides a complete analyses record that can be shared. Every history is an analysis workflow, which can be used to reproduce the entire experiment. The code for this Galaxy instance is available for download from BitBucket. stem cell, analysis, cancer stem cell, galaxy, gene, pathway, molecular signature, tissue, bio.tools, FASEB list is listed by: Debian
is listed by: bio.tools
is related to: Galaxy
is related to: Galaxy
is related to: ISA Infrastructure for Managing Experimental Metadata
has parent organization: Harvard T.H. Chan School of Public Health
Cancer NCI 1RC2CA148222-01 PMID:22121217 Free, The community can contribute to this resource biotools:scde_discovery, nlx_44656 https://bio.tools/scde_discovery SCR_004453 Harvard Stem Cell Discovery Engine, SCDE - Stem Cell Discovery Engine 2026-09-12 12:56:13 57
SCPD - Saccharomyces cerevisiae promoter database
 
Resource Report
Resource Website
10+ mentions
SCPD - Saccharomyces cerevisiae promoter database (RRID:SCR_004412) SCPD analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource A promoter database of Saccharomyces cerevisiae. Users can explore the promoter regions of ~6000 genes and ORFs in yeast genome, annotate putative regulatory sites of all genes and ORFs, locate intergenic regions, and retrieve sequence of the promoter region. In regards to regulatory elements and transcription factors, users can provide information on transcriptionally related genes, browse matrix and consensus sequences, view the correlation between elements, observe binding affinity and expression, and look at genomewise distribution. SCPD also provides some simple but useful tools for promoter sequence analysis. Gene, consensus and matrix records may be submitted. promoter, gene, genome, orf, transcription factor binding site, transcriptional start site, transcription factor is listed by: OMICtools
has parent organization: Cold Spring Harbor Laboratory
PMID:10487868 OMICS_01867, nif-0000-03445 SCR_004412 SCPD - The Promoter Database of Saccharomyces cerevisiae 2026-09-12 12:56:12 20
Repository of molecular brain neoplasia data
 
Resource Report
Resource Website
1+ mentions
Repository of molecular brain neoplasia data (RRID:SCR_004704) REMBRANDT analysis service resource, data analysis service, data or information resource, database, portal, production service resource, service resource, topical portal THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 28,2023. REMBRANDT is a data repository containing diverse types of molecular research and clinical trials data related to brain cancers, including gliomas, along with a wide variety of web-based analysis tools that readily facilitate the understanding of critical correlations among the different data types. REMBRANDT aims to be the access portal for a national molecular, genetic, and clinical database of several thousand primary brain tumors that is fully open and accessible to all investigators (including intramural and extramural researchers), as well as the public at-large. The main focus is to molecularly characterize a large number of adult and pediatric primary brain tumors and to correlate those data with extensive retrospective and prospective clinical data. Specific data types hosted here are gene expression profiles, real time PCR assays, CGH and SNP array information, sequencing data, tissue array results and images, proteomic profiles, and patients'''' response to various treatments. Clinical trials'''' information and protocols are also accessible. The data can be downloaded as raw files containing all the information gathered through the primary experiments or can be mined using the informatics support provided. This comprehensive brain tumor data portal will allow for easy ad hoc querying across multiple domains, thus allowing physician-scientists to make the right decisions during patient treatments., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. gene, genetic, cancer, glioma, tumor, clinical genomics, functional genomics, clinical trial, genomics, gene expression, chromosomal aberration, clinical data, clinical, cellular pathway, gene ontology, molecule, brain, neoplasia, brain tumor, adult, pediatric, child, adolescent, gene expression profile, real time pcr assay, cgh array, snp array, sequence, tissue array, image, proteomic profile, treatment, protocol, molecular data, oncology, data mining, copy number array, gene expression array, secretion, kinase, membrane, gene-anomaly, translational research, personalized medicine, data integration, pathway, cell, phenotype is related to: Gene Ontology
is related to: Glioma Molecular Dignostic Initiatives
has parent organization: National Cancer Institute
Glioma, Brain cancer, Brain tumor NCI ;
NINDS
PMID:19208739 THIS RESOURCE IS NO LONGER IN SERVICE nif-0000-00230 SCR_004704 REMBRANDT (Repository of Molecular Brain Neoplasia Data), REMBRANDT - Repository of Molecular Brain Neoplasia Data, REpository for Molecular BRAin Neoplasia DaTa (REMBRANDT) 2026-09-12 12:56:15 2
TAIR
 
Resource Report
Resource Website
5000+ mentions
TAIR (RRID:SCR_004618) TAIR, AGI LocusCode data or information resource, database Database of genetic and molecular biology data for the model higher plant Arabidopsis thaliana. Data available includes the complete genome sequence along with gene structure, gene product information, metabolism, gene expression, DNA and seed stocks, genome maps, genetic and physical markers, publications, and information about the Arabidopsis research community. Gene product function data is updated every two weeks from the latest published research literature and community data submissions. Gene structures are updated 1-2 times per year using computational and manual methods as well as community submissions of new and updated genes. TAIR also provides extensive linkouts from data pages to other Arabidopsis resources. The data can be searched, viewed and analyzed. Datasets can also be downloaded. Pages on news, job postings, conference announcements, Arabidopsis lab protocols, and useful links are provided. genetic, molecular biology, gene, genome, structure, product, metabolism, gene expression, dna, seed stock, genome map, genetic marker, physical marker, genome sequence, gene product, blast, experimental protocol, gold standard is used by: NIF Data Federation
is listed by: OMICtools
is listed by: re3data.org
is listed by: DataCite
is related to: AmiGO
is related to: Saskatoon Arabidopsis T-DNA mutant population SK Collection
is related to: CLENCH
has parent organization: Carnegie Institution for Science
is parent organization of: TAIR Keyword Browser
is parent organization of: PubSearch
NSF DBI-0850219;
corporate and nonprofit organizations
PMID:22140109
PMID:17986450
PMID:12444417
PMID:12519987
PMID:18287693
r3d100010185, nlx_61477, OMICS_01662 https://doi.org/10.17616/R3QW21 SCR_004618 AGI LocusCode, The Arabidopsis Information Resource 2026-09-12 12:56:15 9170
GeneDB Lmajor
 
Resource Report
Resource Website
1+ mentions
GeneDB Lmajor (RRID:SCR_004613) GeneDB_Lmajor, GeneDB Lmajor, GeneDB L. major, analysis service resource, data analysis service, data or information resource, database, production service resource, service resource Database of the most recent sequence updates and annotations for the L. major genome. New annotations are constantly being added to keep up with published manuscripts and feedback from the Trypanosomatid research community. You may search by Protein Length, Molecular Mass, Gene Type, Date, Location, Protein Targeting, Transmembrane Helices, Product, GO, EC, Pfam ID, Curation and Comments, and Dbxrefs. BLAST and other tools are available. Leishmania species cause a spectrum of human diseases in tropical and subtropical regions of the world. We have sequenced the 36 chromosomes of the 32.8-megabase haploid genome of Leishmania major (Friedlin strain) and predict 911 RNA genes, 39 pseudogenes, and 8272 protein-coding genes, of which 36% can be ascribed a putative function. These include genes involved in host-pathogen interactions, such as proteolytic enzymes, and extensive machinery for synthesis of complex surface glycoconjugates. The Pathogen Genomics group at the Wellcome Trust Sanger Institute played a major role in sequencing the genome of Leishmania major (see Ivens et al.) Details of the centres involved and which chromosomes they sequenced, are given. The sequence data were obtained by adopting several parallel approaches, including complete cosmid sequencing, whole chromosome shotguns and/or BAC sequencing/skimming. The Leishmania parasite is an intracellular pathogen of the immune system targeting macrophages and dendritic cells. The disease Leishmaniasis affects the populations of 88 counties worldwide with symptoms ranging from disfiguring cutaneous and muco-cutaneous lesions that can cause widespread destruction of mucous membranes to visceral disease affecting the haemopoetic organs. In collaboration with GeneDB, the EuPathDB genomic sequence data and annotations are regularly deposited on TriTrypDB where they can be integrated with other datasets and queried using customized queries. genome, gene, rna gene, rna, pseudogene, protein-coding, function, host-pathogen interaction, interaction, proteolytic enzyme, glycoconjugate, sequence annotation is used by: NIF Data Federation
is related to: AmiGO
is related to: TriTrypDB
has parent organization: GeneDB
Wellcome Trust PMID:16020728 nlx_60997 SCR_004613 Leishmania major strain Friedlin, Leishmania major strain Friedlin homepage on GeneDB, GeneDB Leishmania major, Leishmania major strain Friedlin on GeneDB 2026-09-12 12:56:14 7
Nucleotide database
 
Resource Report
Resource Website
100+ mentions
Nucleotide database (RRID:SCR_004630) nucest data or information resource, data repository, database, service resource, storage service resource Nucleotide database as collection of sequences from several sources, including GenBank, RefSeq, TPA and PDB. Genome, gene and transcript sequence data provide the foundation for biomedical research and discovery. Genome, gene, transcript sequence data, GenBank, RefSeq, TPA, PDB, gold standard is listed by: re3data.org
is related to: BMAP cDNA Resources
is related to: GenBank
has parent organization: NCBI
PMID:8401577 Free, Freely available SCR_016578, nlx_62971 SCR_004630 2026-09-12 12:56:15 167
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 2026-09-12 12:56:42 408
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 2026-09-12 12:56:43 416
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 2026-09-12 12:56:42 31
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 2026-09-12 12:56:42 543
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 2026-09-12 12:56:42 1047
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 2026-09-12 12:56:46 0
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 2026-09-12 12:56:45 4
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 2026-09-12 12:56:47 84
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 2026-09-12 12:56:46 2310
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) 2026-09-12 12:56:45 4206
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 2026-09-12 12:56:46 5881
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 2026-09-12 12:56:48 0
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) 2026-09-12 12:56:48 0

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