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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Biomedical Resource Ontology Resource Report Resource Website 1+ mentions |
Biomedical Resource Ontology (RRID:SCR_004443) | BRO | data or information resource, controlled vocabulary, ontology | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 27,2023. A controlled terminology of resources, which is used to improve the sensitivity and specificity of web searches. It includes ''resource_type'', ''area of research'', and ''activity''. It is under development by a number of NIH-funded researchers who have a combined interest in classification of biomedical resources. The biositemaps site is no longer available but the biomedical resource ontology is still available via bioportal Biomedical Resource Ontology (BRO). | sitemap, resource type, owl, resource |
is listed by: BioPortal is listed by: Biositemaps is related to: Biositemaps is related to: iBIOFind is related to: bioDBcore has parent organization: National Centers for Biomedical Computing |
NIH | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_143813 | http://bioportal.bioontology.org/ontologies/1104, https://bioportal.bioontology.org/ontologies/BRO | SCR_004443 | 2026-08-09 09:04:06 | 4 | ||||||
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SoyBase Resource Report Resource Website 500+ mentions |
SoyBase (RRID:SCR_005096) | SoyBase | database, data or information resource, service resource, storage service resource, ontology, controlled vocabulary, data repository, data analysis service, analysis service resource, production service resource | Professionally curated repository for genetics, genomics and related data resources for soybean that contains the most current genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. SoyBase includes annotated Williams 82 genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. The repository maintains controlled vocabularies for soybean growth, development, and traits that are linked to more general plant ontologies. Contributions to SoyBase or the Breeder''s Toolbox are welcome. | soybean, gene, genetic map, genome, data set, trait, phenotype, molecular biology, sequence, chromosome, quantitative trait locus, php, genetics, genomics, legume, bio.tools, FASEB list |
is listed by: 3DVC is listed by: re3data.org is listed by: Debian is listed by: bio.tools has parent organization: Iowa State University; Iowa; USA is parent organization of: Soybean Ontologies is parent organization of: Soy Ontology |
USDA Agricultural Research Service | PMID:20008513 | The community can contribute to this resource | nif-0000-03483, r3d100010846, biotools:soybase | https://bio.tools/soybase, https://doi.org/10.17616/R3S032 | SCR_005096 | SoyBase and the Soybean Breeder''s Toolbox, SoyBase and the Soybean Breeder''s Toolbox: Integrating Genetics and Molecular Biology for Soybean Researchers | 2026-08-09 09:04:12 | 830 | ||||
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SNPeffect Resource Report Resource Website 50+ mentions |
SNPeffect (RRID:SCR_005091) | SNPeffect | database, data or information resource, service resource, data analysis service, analysis service resource, production service resource | A database for phenotyping human single nucleotide polymorphisms (SNPs)that primarily focuses on the molecular characterization and annotation of disease and polymorphism variants in the human proteome. They provide a detailed variant analysis using their tools such as: * TANGO to predict aggregation prone regions * WALTZ to predict amylogenic regions * LIMBO to predict hsp70 chaperone binding sites * FoldX to analyse the effect on structure stability Further, SNPeffect holds per-variant annotations on functional sites, structural features and post-translational modification. The meta-analysis tool enables scientists to carry out a large scale mining of SNPeffect data and visualize the results in a graph. It is now possible to submit custom single protein variants for a detailed phenotypic analysis., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | single nucleotide polymorphism, phenotyping, mutation, protein-coding variant, molecule, structure, phenotype, non-synonymous coding snp, allelic variation, gene, protein stability, functional site, protein phosphorylation, glycosylation, subcellular localization, protein turnover, protein aggregation, amyloidosis, chaperone interaction, protein variant, FASEB list |
is listed by: OMICtools has parent organization: Catholic University of Leuven; Flemish Brabant; Belgium |
PMID:22075996 PMID:18086700 PMID:16809394 PMID:15608254 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00187, nif-0000-03480 | http://snpeffect.switchlab.org/ | SCR_005091 | SNPeffect 4 Phenotyping Human Mutations | 2026-08-09 09:04:06 | 62 | |||||
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Generic GO Term Mapper Resource Report Resource Website 10+ mentions |
Generic GO Term Mapper (RRID:SCR_005806) | GOTermMapper, GO Term Mapper | service resource, data processing software, software application, data analysis service, analysis service resource, software resource, production service resource | The Generic GO Term Mapper finds the GO terms shared among a list of genes from your organism of choice within a slim ontology, allowing them to be binned into broader categories. The user may optionally provide a custom gene association file or slim ontology, or a custom list of slim terms. The implementation of this Generic GO Term Mapper uses map2slim.pl script written by Chris Mungall at Berkeley Drosophila Genome Project, and some of the modules included in the GO-TermFinder distribution written by Gavin Sherlock and Shuai Weng at Stanford University, made publicly available through the GMOD project. GO Term Mapper serves a different function than the GO Term Finder. GO Term Mapper simply bins the submitted gene list to a static set of ancestor GO terms. In contrast, GO Term Finder finds the GO terms significantly enriched in a submitted list of genes. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene ontology, gene, gene association, slim ontology, slimmer-type tool, term enrichment, gene annotation, genomics, ontology, process, function, component, bio.tools |
is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Generic Model Organism Database Project has parent organization: Princeton University; New Jersey; USA |
Free for academic use | nlx_149294, biotools:go_term_mapper | https://bio.tools/go_term_mapper | SCR_005806 | Generic Gene Ontology Term Mapper, Generic Gene Ontology (GO) Term Mapper | 2026-08-09 09:04:15 | 45 | ||||||
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hmChIP Resource Report Resource Website 1+ mentions |
hmChIP (RRID:SCR_005407) | hmChIP | database, data or information resource, service resource, data analysis service, analysis service resource, production service resource | A database of genome-wide chromatin immunoprecipitation (ChIP) data in human and mouse. Currently, the database contains >2000 samples from >500 ChIP-seq and ChIP-chip experiments, representing a total of >170 proteins and >10,000,000 protein-DNA interactions (March 2014). A web server provides an interface for database query. Protein-DNA binding intensities can be retrieved from individual samples for user-provided genomic regions. The retrieved intensities can be used to cluster samples and genomic regions to facilitate exploration of combinatorial patterns, cell type dependencies, and cross-sample variability of protein-DNA interactions. | chromatin immunoprecipitation, chip-seq, chip-chip, protein, protein-dna interaction, binding intensity |
is listed by: OMICtools has parent organization: Johns Hopkins Bloomberg School of Public Health; Maryland; USA |
PMID:21450710 | The community can contribute to this resource | OMICS_00536 | SCR_005407 | 2026-08-09 09:04:06 | 5 | |||||||
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ConnectomeDB Resource Report Resource Website 50+ mentions |
ConnectomeDB (RRID:SCR_004830) | ConnectomeDB | database, data or information resource, service resource, image collection, storage service resource, image repository, data repository | Data management platform that houses all data generated by the Human Connectome Project - image data, clinical evaluations, behavioral data and more. ConnectomeDB stores raw image data, as well as results of analysis and processing pipelines. Using the ConnectomeDB infrastructure, research centers will be also able to manage Connectome-like projects, including data upload and entry, quality control, processing pipelines, and data distribution. ConnectomeDB is designed to be a data-mining tool, that allows users to generate and test hypotheses based on groups of subjects. Using the ConnectomeDB interface, users can easily search, browse and filter large amounts of subject data, and download necessary files for many kinds of analysis. ConnectomeDB is designed to work seamlessly with Connectome Workbench, an interactive, multidimensional visualization platform designed specifically for handling connectivity data. De-identified data within ConnectomeDB is publicly accessible. Access to additional data may be available to qualified research investigators. ConnectomeDB is being hosted on a BlueArc storage platform housed at Washington University through the year 2020. This data platform is based on XNAT, an open-source image informatics software toolkit developed by the NRG at Washington University. ConnectomeDB itself is fully open source. | brain, connectivity, human, adult human, evaluation, clinical, behavior, data set, diffusion imaging, resting-state fmri, task-evoked fmri, t1-weighted mri, t2-weighted mri, structural mapping, myelin mapping, magnetoencephalography, electroencephalography, fmri, twin |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: XNAT - The Extensible Neuroimaging Archive Toolkit has parent organization: Washington University in St. Louis; Missouri; USA works with: Connectome Workbench |
Healthy, Twin, Non-twin sibling | NIH Blueprint for Neuroscience Research ; Washington University in St. Louis; Missouri; USA ; McDonnell Center for Systems Neuroscience ; NIMH 1U54MH091657 |
PMID:22366334 | Account required, Open unspecified license, Acknowledgement required, See Data Use Terms, The community can contribute to this resource | nlx_143923 | SCR_004830 | 2026-08-09 09:03:59 | 63 | |||||
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ChEA Resource Report Resource Website 100+ mentions |
ChEA (RRID:SCR_005403) | ChEA | database, data or information resource, service resource, software application, data analysis service, analysis service resource, software resource, production service resource | Data analysis service for gene-list enrichment analysis against a manual database. It allows users to input lists of mammalian gene symbols for which the program computes over-representation of transcription factor targets from the ChIP-X database. The database integrates interaction data from ChIP-chip, ChIP-seq, ChIP-PET and DamID studies and contains 189,933 interactions, manually extracted from 87 publications, describing the binding of 92 transcription factors to 31,932 target genes. | chip, transcription factor, interaction, mrna expression, gene, target gene, command-line, chip-chip, chip-seq |
is listed by: OMICtools has parent organization: Icahn School of Medicine at Mount Sinai; New York; USA |
PMID:20709693 | OMICS_00526 | SCR_005403 | ChIP Enrichment Analysis | 2026-08-09 09:04:14 | 280 | |||||||
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Hymenoptera Anatomy Ontology Resource Report Resource Website 1+ mentions |
Hymenoptera Anatomy Ontology (RRID:SCR_003340) | HAO | data or information resource, controlled vocabulary, ontology | A structured controlled vocabulary of the anatomy of the Hymenoptera (bees, wasps, sawflies and ants) | owl, anatomy, organismal |
is listed by: BioPortal is listed by: OBO |
NSF DBI 0850223 | Free, Freely available | nlx_157435 | http://purl.bioontology.org/ontology/HAO, http://purl.obolibrary.org/obo/hao.owl | SCR_003340 | 2026-08-09 09:03:43 | 3 | ||||||
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Pathosystems Resource Integration Center Resource Report Resource Website 1000+ mentions |
Pathosystems Resource Integration Center (RRID:SCR_004154) | PATRIC | database, data or information resource, service resource, bioinformatics resource center, data analysis service, analysis service resource, production service resource | A Bioinformatics Resource Center bacterial bioinformatics database and analysis resource that provides researchers with an online resource that stores and integrates a variety of data types (e.g. genomics, transcriptomics, protein-protein interactions (PPIs), three-dimensional protein structures and sequence typing data) and associated metadata. Datatypes are summarized for individual genomes and across taxonomic levels. All genomes, currently more than 10 000, are consistently annotated using RAST, the Rapid Annotations using Subsystems Technology. Summaries of different data types are also provided for individual genes, where comparisons of different annotations are available, and also include available transcriptomic data. PATRIC provides a variety of ways for researchers to find data of interest and a private workspace where they can store both genomic and gene associations, and their own private data. Both private and public data can be analyzed together using a suite of tools to perform comparative genomic or transcriptomic analysis. PATRIC also includes integrated information related to disease and PPIs. The PATRIC project includes three primary collaborators: the University of Chicago, the University of Manchester, and New City Media. The University of Chicago is providing genome annotations and a PATRIC end-user genome annotation service using their Rapid Annotation using Subsystem Technology (RAST) system. The National Centre for Text Mining (NaCTeM) at the University of Manchester is providing literature-based text mining capability and service. New City Media is providing assistance in website interface development. An FTP server and download tool are available. | genomics, genome, transcriptomics, protein-protein interaction, sequence typing, proteobacteria, brucella, rickettsia, coxiella, coronavirus, calicivirus, lyssavirus, virus, hepatitis a, hepatitis e, pathway, proteome, metabolic pathway, drug, vaccine, diagnostics, FASEB list |
is listed by: OMICtools has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
NIAID | PMID:24225323 PMID:17142235 |
Free, Public, Acknowledgement requested | r3d100010142, OMICS_01658, nlx_17476 | http://patricbrc.vbi.vt.edu/portal/portal/patric/Home, https://doi.org/10.17616/R3WS3X | http://patric.vbi.vt.edu/ | SCR_004154 | PathoSystems Resource Integration Center, PATRIC, Pathosystems Resource Integration Center | 2026-08-09 09:03:52 | 1114 | |||
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GetReal Resource Report Resource Website 10+ mentions |
GetReal (RRID:SCR_003862) | GetReal | organization portal, portal, data or information resource, consortium | Consortium that aims to improve the efficiency of the medicine development process by better incorporating estimates of relative effectiveness into drug development and to enrich decision-making by regulatory authorities and health technology assessment (HTA) bodies through: * Bringing together regulators, HTA bodies, academics, companies, patients and other societal stakeholders; * Assessing existing processes, methodologies, and key research issues; * Proposing innovative (and more pragmatic) trial designs and assessing the value of information; * Proposing and testing innovative analytical and predictive modelling approaches; * Assessing operational, ethical, regulatory issues and proposing and testing solutions; * Creating new decision making frameworks, and building open tools to allow for the evaluation of development programs and use in the assessment of the value of new medicines; * Sharing and discussing deliverables with, among others, Pharmaceutical companies, regulatory authorities, HTA / reimbursement agencies, clinicians and patient organizations; * Developing training activities for researchers, decision makers and societal stakeholders in the public and private sector in order to increase knowledge about various aspects of relative effectiveness. The expected impact is that it will contribute to the knowledge base, particularly to inform clinical decision making and improve the efficiency of the R&D process. GETREAL will help to generate a consensus on best practice in the timing, performance and use of real life clinical studies in regulatory and reimbursement decision-making. It will also help to create a strong platform for the communication of results and for future discussions in this important area. | drug, health technology assessment, clinical, drug development, basic research, data sharing |
is listed by: Consortia-pedia is related to: Roche is related to: Janssen Research and Development is related to: Merck is related to: European Medicines Agency is related to: EORTC is related to: French National Authority for Health is related to: London School of Hygiene and Tropical Medicine; London; United Kingdom is related to: University of Ioannina; Ioannina; Greece is related to: University of Bern; Bern; Switzerland is related to: University of Leicester; Leicester; United Kingdom is related to: International Alliance of Patients Organizations |
Innovative Medicines Initiative ; EFPIA |
nlx_158185 | SCR_003862 | 2026-08-09 09:03:49 | 42 | ||||||||
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SOURCE Resource Report Resource Website 50+ mentions |
SOURCE (RRID:SCR_005799) | SOURCE | database, data or information resource, service resource, data analysis service, analysis service resource, production service resource | SOURCE compiles information from several publicly accessible databases, including UniGene, dbEST, UniProt Knowledgebase, GeneMap99, RHdb, GeneCards and LocusLink. GO terms associated with LocusLink entries appear in SOURCE. The mission of SOURCE is to provide a unique scientific resource that pools publicly available data commonly sought after for any clone, GenBank accession number, or gene. SOURCE is specifically designed to facilitate the analysis of large sets of data that biologists can now produce using genome-scale experimental approaches Platform: Online tool | genomic, functional annotation, ontology, gene expression, gene, genome, statistical analysis, bio.tools, FASEB list |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: SMD |
NIGMS ; NCI CA85129-04; NIGMS GM07365 |
PMID:12519986 | Restricted | biotools:source, nlx_149287 | https://login.stanford.edu/idp/profile/SAML2/Redirect/SSO?execution=e1s1, https://bio.tools/source | SCR_005799 | 2026-08-09 09:04:11 | 69 | |||||
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Gene Class Expression Resource Report Resource Website 1+ mentions |
Gene Class Expression (RRID:SCR_005679) | Gene Class | database, data or information resource, service resource, data analysis service, analysis service resource, production service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 29, 2012. Gene Class Expression allows functional annotation of SAGE data using the Gene Ontology database. This tool performs searches in the GO database for each SAGE tag, making associations in the selected GO category for a level selected in the hierarchy. This system provides user-friendly data navigation and visualization for mapping SAGE data onto the gene ontology structure. This tool also provides graphical visualization of the percentage of SAGE tags in each GO category, along with confidence intervals and hypothesis testing. Platform: Online tool | serial analysis of gene expression, functional annotation, annotation, gene expression, tag classification, gene ontology, gene, ontology, browser, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Sao Paulo; Sao Paulo; Brazil |
Center for Cell-Based Therapy/FAPESP ; CNPq |
PMID:16755502 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149119 | http://gdm.fmrp.usp.br/cgi-bin/gc/upload/upload.pl | SCR_005679 | GC Browser, Gene Classification Browser Tool, Gene Class expression: analysis tool of Gene Ontology terms with gene expression data | 2026-08-09 09:04:09 | 1 | ||||
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JCVI CMR Resource Report Resource Website 10+ mentions |
JCVI CMR (RRID:SCR_005398) | JCVI_CMR, JCVI CMR, TIGR_CMR, TIGR CMR | database, data or information resource, service resource, data analysis service, analysis service resource, production service resource | Database of all of the publicly available, complete prokaryotic genomes. In addition to having all of the organisms on a single website, common data types across all genomes in the CMR make searches more meaningful, and cross genome analysis highlight differences and similarities between the genomes. CMR offers a wide variety of tools and resources, all of which are available off of our menu bar at the top of each page. Below is an explanation and link for each of these menu options. * Genome Tools: Find organism lists as well as summary information and analyses for selected genomes. * Searches: Search CMR for genes, genomes, sequence regions, and evidence. * Comparative Tools: Compare multiple genomes based on a variety of criteria, including sequence homology and gene attributes. SNP data is also found under this menu. * Lists: Select and download gene, evidence, and genomic element lists. * Downloads: Download gene sequences or attributes for CMR organisms, or go to our FTP site. * Carts: Select genome preferences from our Genome Cart or download your Gene Cart genes. The Omniome is the relational database underlying the CMR and it holds all of the annotation for each of the CMR genomes, including DNA sequences, proteins, RNA genes and many other types of features. Associated with each of these DNA features in the Omniome are the feature coordinates, nucleotide and protein sequences (where appropriate), and the DNA molecule and organism with which the feature is associated. Also available are evidence types associated with annotation such as HMMs, BLAST, InterPro, COG, and Prosite, as well as individual gene attributes. In addition, the database stores identifiers from other centers such as GenBank and SwissProt, as well as manually curated information on each genome or each DNA molecule including website links. Also stored in the Omniome are precomputed homology data, called All vs All searches, used throughout the CMR for comparative analysis. | microbial, prokaryotic, genome, annotation, dna sequence, protein, rna gene, blast, FASEB list |
is used by: NIF Data Federation is related to: AmiGO has parent organization: J. Craig Venter Institute is parent organization of: JCVI GenProp |
NSF ; NIAID ; DOE |
Free | nif-0000-03555 | SCR_005398 | JCVI Comprehensive Microbial Resource, J. Craig Venter Institute Comprehensive Microbial Resource, CMR, Comprehensive Microbial Resource | 2026-08-09 09:04:06 | 37 | ||||||
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SEECER Resource Report Resource Website 10+ mentions |
SEECER (RRID:SCR_005274) | SEECER | data analysis software, data processing software, software application, sequence analysis software, software resource, algorithm resource | Algorithm for sequencing error correction of RNA-seq data sets. SEECER removes mismatch and indel errors from the raw reads and improves downstream analysis of the data. | bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Carnegie Mellon University; Pennsylvania; USA |
PMID:23558750 | Free, Available for download | OMICS_01236, biotools:seecer | https://bio.tools/seecer | SCR_005274 | SEECER - SEquencing Error CorrEction for Rna reads | 2026-08-09 09:04:08 | 12 | |||||
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Onto-Compare Resource Report Resource Website 1+ mentions |
Onto-Compare (RRID:SCR_005669) | Onto-Compare | database, data or information resource, service resource, data analysis service, analysis service resource, production service resource | Microarrays are at the center of a revolution in biotechnology, allowing researchers to screen tens of thousands of genes simultaneously. Typically, they have been used in exploratory research to help formulate hypotheses. In most cases, this phase is followed by a more focused, hypothesis driven stage in which certain specific biological processes and pathways are thought to be involved. Since a single biological process can still involve hundreds of genes, microarrays are still the preferred approach as proven by the availability of focused arrays from several manufacturers. Since focused arrays from different manufacturers use different sets of genes, each array will represent any given regulatory pathway to a different extent. We argue that a functional analysis of the arrays available should be the most important criterion used in the array selection. We developed Onto-Compare as a database that can provide this functionality, based on the GO nomenclature. Compare commercially available microarrays based on GO. User account required. Platform: Online tool | microarray, gene, ontology, gene expression, data-mining, browser, visualization, analysis, compare, search engine, ontology or annotation browser, ontology or annotation search engine, ontology or annotation visualization, database or data warehouse, other analysis, compare commercially available microarrays based on go |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Wayne State University; Michigan; USA |
PMID:12664686 PMID:15215428 |
Free for academic use | nlx_149108 | SCR_005669 | 2026-08-09 09:04:16 | 1 | |||||||
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ProteomeXchange Resource Report Resource Website 5000+ mentions |
ProteomeXchange (RRID:SCR_004055) | database, organization portal, data or information resource, service resource, storage service resource, portal, consortium, catalog, data repository | A data repository for proteomic data sets. The ProteomeExchange consortium, as a whole, aims to provide a coordinated submission of MS proteomics data to the main existing proteomics repositories, as well as to encourage optimal data dissemination. ProteomeXchange provides access to a number of public databases, and users can access and submit data sets to the consortium's PRIDE database and PASSEL/PeptideAtlas. | consortium, database, proteomics, MS proteomics, protein, mass spectrometry, bio.tools, FASEB list |
uses: Proteomics Identifications (PRIDE) uses: PeptideAtlas is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: bio.tools is listed by: Debian is affiliated with: Omics Discovery Index is related to: Proteomics Identifications (PRIDE) is related to: PeptideAtlas is related to: SIB Swiss Institute of Bioinformatics is related to: Mass spectrometry Interactive Virtual Environment (MassIVE) is related to: European Bioinformatics Institute is related to: ProteomeTools is related to: Integrated Proteome Resources has parent organization: European Bioinformatics Institute |
European Union 260558 | Public, The community can contribute to this resource | r3d100012122, nlx_158620, biotools:proteomexchange | http://proteomecentral.proteomexchange.org, https://bio.tools/proteomexchange, https://doi.org/10.17616/R32D29 | SCR_004055 | , ProteomeXchange, Proteome Exchange | 2026-08-09 09:03:49 | 6107 | ||||||
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Asian Cancer Research Group Resource Report Resource Website 1+ mentions |
Asian Cancer Research Group (RRID:SCR_004001) | ACRG | organization portal, data or information resource, portal, data set, consortium | An independent, not-for-profit consortium to accelerate research, and improve treatment for patients affected with the most commonly-diagnosed cancers in Asia by generating a genomic data resource for the most prevalent cancers in Asia. ACRG is focusing its initial efforts on Asian liver, gastric and lung cancers. Goals * Generate comprehensive genomics data sets for Asia-prevalent cancers * Conduct all research under good clinical practices and in accordance with local laws * Uncover key mutations and pathways for developing targeted therapies * Discover molecular tumor classifiers for patient stratification * Discover prognostic markers to identify high-risk patients * Freely share resulting raw data with scientific community to empower researchers globally and enable development of new diagnostics and medicines * Publish data analysis results jointly in prominent scientific journals Over the next two years, Lilly, Merck and Pfizer have committed to create an extensive pharmacogenomic cancer database that will be composed of data from approximately 2,000 tissue samples from patients with lung and gastric cancer that will be made publicly available to researchers and, over time, further populated with clinical data from a longitudinal analysis of patients. Comparison of the contrasting genomic signatures of these cancers could inform new approaches to treatment. Lilly has assumed responsibility for ultimately providing the data to the research public through an open-source concept managed by Lilly''''s Singapore research site. Moreover, Lilly, Merck and Pfizer will each provide technical and intellectual expertise. One dataset can be found at http://gigadb.org/dataset/100034 | asia, genomics, drug discovery, liver, gastric, lung, database, whole genome-wide study, drug development, basic research, data sharing, drug, oncology, pharmacogenomic, tissue, clinical, longitudinal |
uses: Gene Expression Omnibus uses: GigaDB is listed by: Consortia-pedia is related to: Merck is related to: Pfizer Animal Genetics is related to: BGI; Shenzhen; China has parent organization: Merck |
Eli Lilly and Company ; Merck ; Pfizer |
nlx_158412 | SCR_004001 | 2026-08-09 09:03:50 | 1 | ||||||||
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IDEAL - Intrinsically Disordered proteins with Extensive Annotations and Literature Resource Report Resource Website 10+ mentions |
IDEAL - Intrinsically Disordered proteins with Extensive Annotations and Literature (RRID:SCR_006027) | IDEAL | database, data or information resource, service resource, data analysis service, analysis service resource, production service resource | IDEAL, Intrinsically Disordered proteins with Extensive Annotations and Literature, is a collection of knowledge on experimentally verified intrinsically disordered proteins (IDPs) or intrinsically disordered regions (IDRs). IDEAL contains manually curated annotations on IDPs in locations, structures, and functional sites such as protein binding regions and posttranslational modification sites together with references and structural domain assignments. Protean segment One of the unique phenomena seen in IDPs is so-called the coupled folding and binding, where a short flexible segment can bind to its binding partner with forming a specific structure to act as a molecular recognition element. IDEAL explicitly annotates these regions as protean segment (ProS) when unstructured and structured information are both available in the region. Access to the data All the entries are tabulated in the list and individual entries can be retrieved by using the search tool at the upper-right corner in this page. IDEAL also provides the BLAST search, which can find homologs in IDEAL. All the information in IDEAL can be downloaded in the XML file. | intrinsically disordered protein, protein, intrinsically disordered region, region, location, structure, functional site, protein binding region, binding region, posttranslational modification site, reference, structural domain assignment, blast, homolog, simian virus 40, epstein-barr virus, human herpesvirus 1, residue, protean segment, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Nagoya University; Nagoya; Japan |
Japanese Ministry of Education Culture Sports Science and Technology MEXT | PMID:22067451 | biotools:ideal, nlx_151427 | https://bio.tools/ideal | SCR_006027 | IDEAL - Intrinsically Disordered proteins with Extensive Annotations Literature, Intrinsically Disordered proteins with Extensive Annotations and Literature | 2026-08-09 09:04:21 | 11 | |||||
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Pathbase Resource Report Resource Website 10+ mentions |
Pathbase (RRID:SCR_006141) | Pathbase | database, data or information resource, service resource, image collection, web service, storage service resource, image repository, ontology, controlled vocabulary, data repository, software resource, data access protocol | Database of histopathology photomicrographs and macroscopic images derived from mutant or genetically manipulated mice. The database currently holds more than 1000 images of lesions from mutant mice and their inbred backgrounds and further images are being added continuously. Images can be retrieved by searching for specific lesions or class of lesion, by genetic locus, or by a wide set of parameters shown on the Advanced Search Interface. Its two key aims are: * To provide a searchable database of histopathology images derived from experimental manipulation of the mouse genome or experiments conducted on genetically manipulated mice. * A reference / didactic resource covering all aspects of mouse pathology Lesions are described according to the Pathbase pathology ontology developed by the Pathbase European Consortium, and are available at the site or on the Gene Ontology Consortium site - OBO. As this is a community resource, they encourage everyone to upload their own images, contribute comments to images and send them their feedback. Please feel free to use any of the SOAP/WSDL web services. (under development) | histopathology, photomicrograph, macroscopic, mutant, genetically manipulated, pathology, transgenic, rodent, mpath ontology, mouse pathology ontology, skinbase, genotype, skin, gene, tissue, hair, mutant mouse strain, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: University of Cambridge; Cambridge; United Kingdom is parent organization of: Mouse Pathology Ontology |
Lesion, Mutant mouse strain, Inbred mouse strain | North American Hair Research Society ; Ellison Medical Foundation ; European Union QLRI-1999-00320; European Union LSHG-CT-2006-037188; NCI CA089713; NCRR RR17436; NIH AR49288 |
PMID:20587689 PMID:15623888 PMID:14681470 |
Except where otherwise noted, Creative Commons Attribution-NonCommercial-ShareAlike License, v3 Unported, Images on the database remain the property of the persons generously allowing their images to be used and are acknowledged within each record. Images should not be modified, Reproduced or disseminated without the express permission of the submitter. | biotools:pathbase, nlx_151637 | https://bio.tools/pathbase | SCR_006141 | Pathbase - European mutant mouse pathology database | 2026-08-09 09:04:22 | 11 | |||
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Brain Canada Resource Report Resource Website 10+ mentions |
Brain Canada (RRID:SCR_005053) | Brain Canada | portal, data or information resource, topical portal, funding resource | Brain Canada is a national non-profit organization that develops and supports collaborative, multidisciplinary, multi-institutional research across the neurosciences. Through partnering with the public, private and voluntary sectors, Brain Canada connects the knowledge and resources available in this area to accelerate neuroscience research and funding and maximize the output of Canada''s world-class scientists and researchers. Brain Canada was created to address the twin challenges of increasing the scale of brain research funding in Canada and widening its scope to encourage interdisciplinary collaboration to produce insights for treating multiple disorders. Brain Canada is built on the successes and model of NeuroScience Canada (NSC). Established in 1999, NSC raised more than $11.5 million, leveraged over $20 million with partnered funding, and funded 100 individual and teams of researchers in Canada. Brain Canada is the new vision for Canadian brain researchthe voice for the brain and the grouping of brain disorders, raising awareness about their prevalence and impact on individuals, families, the economy and society. But most important, through the research we are funding, we are giving hope to the millions of Canadians who are directly or indirectly touched by diseases, disorders, and injuries of the brain, spinal cord and nervous system. | brain, neuroscience, research, brain disorder | is related to: Canadian Open Neuroscience Platform | nlx_144038 | SCR_005053 | Brain Canada Foundation | 2026-08-09 09:04:02 | 11 |
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