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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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UniParc Resource Report Resource Website 50+ mentions |
UniParc (RRID:SCR_005818) | data or information resource, database | Database that contains publicly available protein sequences with stable and unique identifiers (UPI) which are never removed, changed or reassigned. UniParc tracks sequence changes in the source databases and archives the history of all changes. Information other than protein sequence must be retrieved from the UniParc source databases using the database cross-references. | protein sequence, database, public protein sequence, gold standard, upi, unique protein identifier, identifier, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: UniProt DAS is related to: WormBase is related to: FlyBase is related to: Ensembl is related to: RefSeq has parent organization: UniProt |
Public, Entries are available for download | SCR_004769, nif-0000-03610, r3d100011519, biotools:uniparc, nlx_76940 | https://bio.tools/uniparc, https://doi.org/10.17616/R3X33B | SCR_005818 | UniProt Archive | 2026-08-10 09:32:39 | 98 | |||||||
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TRbase: A Database Of Tandem Repeats In The Human Genome Resource Report Resource Website 1+ mentions |
TRbase: A Database Of Tandem Repeats In The Human Genome (RRID:SCR_005658) | data or information resource, database | This TRbase is a relational tandem repeat database that relates tandem repeats to gene locations and disease genes of the human genome. The TRbase stores both perfect and imperfect repeats of 1 to 2000 bp unit lengths that were identified using the Tandem Repeat Finder program. Disease information for all 24 chromosomes was retrieved from the Online Mendelian Inheritance in Man (OMIM) database. There are five main search forms by which the user may query the database: 1. The Advanced tandem repeat search: This allows a complete search for tandem repeats using a combination of criteria, such as total tandem repeat length, repeat unit length, copy number of the repeats, percentage matches and the consensus repeat pattern. On submission, the number of repeats and the detailed tandem repeat characteristics of each repeat that match the user query are tabulated. 2. The Main search: This relates tandem repeat data to genes and diseases. The user may specify a gene of interest to view details of all repeats associated with it or search for tandem repeats present in a particular disease by entering the name/keyword for the disease or the MIM number of the disease gene. 3. The Composite search: This more advanced search allows the user to query specifically for repeats present in exons, introns or intergenic regions of a gene or disease gene. 4. The Gene Search: Further information on genes can be available by a simple gene name search on this page. 5. The Disease search: This allows extensive information on disease genes on all chromosomes of the human genome. Searching for a MIM number, or keyword searches specifying the features of the disease, will retrieve the information on the disease and the chromosome in which the disease gene occurs. Each entry retrieved is linked to the OMIM database for detailed literature and gene map information on the disease. | has parent organization: University of Exeter; Exeter; United Kingdom | nif-0000-03583 | SCR_005658 | TRbase | 2026-08-10 09:32:37 | 1 | ||||||||||
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PoSSuM Resource Report Resource Website 10+ mentions |
PoSSuM (RRID:SCR_006109) | PoSSuM | data or information resource, database | Relational database of all the discovered similar pairs in a huge number of protein-ligand binding sites with annotations of various types (e.g., CATH, SCOP, EC number, Gene ontology). They used a tremendously fast algorithm called SketchSort that enables the enumeration of similar pairs in a huge number of protein-ligand binding sites. They conducted all-pair similarity searches for 3.4 million known and potential binding sites using the proposed method and discovered over 24 million similar pairs of binding sites. PoSSuM enables rapid exploration of similar binding sites among structures with different global folds as well as similar ones. Moreover, PoSSuM is useful for predicting the binding ligand for unbound structures. Basically, the users can search similar binding pockets using two search modes: # Search K is useful for finding similar binding sites for a known ligand-binding site. Post a known ligand-binding site (a pair of PDB ID and HET code) in the PDB, and PoSSuM will search similar sites for the query site. # Search P is useful for predicting ligands that potentially bind to a structure of interest. Post a known protein structure (PDB ID) in the PDB, and PoSSuM will search similar known-ligand binding sites for the query structure. | binding site, ligand-binding site, protein function, protein, prediction, small molecule, drug discovery |
is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: University of Tokyo; Tokyo; Japan has parent organization: National Institute of Advanced Industrial Science and Technology |
Japan Society for the Promotion of Science KAKENHI 21680025; Japan Society for the Promotion of Science KAKENHI 23500374 |
PMID:22135290 PMID:22113700 |
Freely available, Acknowledgement required | nlx_151581 | SCR_006109 | PoSSuM - POcket Similarity Search Using Multiple-Sketches, Pocket Similarity Search using Multiple-Sketches (PoSSuM), PoSSuM Database, POcket Similarity Search Using Multiple-Sketches | 2026-08-10 09:32:44 | 30 | |||||
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Tandem Repeats Database Resource Report Resource Website 10+ mentions |
Tandem Repeats Database (RRID:SCR_005659) | TRDB | data or information resource, database | A public repository of information on tandem repeats in genomic DNA and contains a variety of tools for their analysis. These currently include the Tandem Repeats Finder algorithm, query and filtering capabilities for finding particular repeats of interest, repeat clustering algorithms based on sequence similarity, polymorphism prediction based on common patterns of mutation, PCR primer selection, and data download in a variety of formats. In addition, TRDB serves as a centralized research workbench, provides storage space for results of analysis, and permits collaborators to privately share their data and analysis. | has parent organization: Boston University; Massachusetts; USA | nif-0000-03584 | SCR_005659 | Tandem Repeats Database | 2026-08-10 09:32:36 | 14 | |||||||||
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GO-Module Resource Report Resource Website 1+ mentions |
GO-Module (RRID:SCR_005813) | GO-Module | production service resource, data analysis service, analysis service resource, service resource | GO-Module provides an interface to reduce the dimensionality of GO enrichment results and produce interpretable biomodules of significant GO terms organized by hierarchical knowledge that contain only true positive results. Users can download a text file of GO terms annotated with their significance and identified biomodules, a network visualization of resultant GO IDs or terms in PDF format, and view results in an online table. Platform: Online tool | functional similarity, visualization, other analysis, reduce the dimensionality of go enrichment results, produce interpretable biomodules of significant go terms, gene ontology, ontology or annotation visualization, annotation |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: AmiGO has parent organization: University of Illinois at Chicago; Illinois; USA |
NIH ; Cancer Research Foundation ; NLM K22 LM008308; NCI 1U54CA121852; NCRR UL1 RR024999 |
PMID:21421553 | Free for academic use | nlx_149322 | SCR_005813 | Hierarchical optimization of enriched GO terms | 2026-08-10 09:32:39 | 3 | |||||
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JISC Open Citations Resource Report Resource Website 10+ mentions |
JISC Open Citations (RRID:SCR_005936) | Open Citations | data or information resource, database | Database of biomedical literature citations, harvested from the reference lists of all open access articles in PubMed Central that reference ~20% of all PubMed Central papers (approx. 3.4 million papers), including all the highly cited papers in every biomedical field. All the data are freely available for download and reuse. The web site allows these bibliographic records and citations to be browsed, individual articles to be selected, and its citation network to be visualized in a variety of displays. Details of each selected reference, and the data and diagrams for its citation network, may be downloaded in a variety of formats, while the entire Open Citations Corpus can be downloaded from our source data page in several formats including RDF and BibJSON. Their aim for the future is to work with publishers to make available the reference lists from many more current and recent journal articles, starting with the biomedical literature, and to make the citations contained within them available as Open Linked Data in the manner demonstrated by the existing exemplar data available here. | biomedical, literature, citation, open access, bibliographic, rdf triplestore, biomedical literature, open linked data, reference |
is listed by: FORCE11 is related to: PubMed Central is related to: CiTO - the Citation Typing Ontology has parent organization: University of Oxford; Oxford; United Kingdom |
JISC ; jiscEXPO strand |
Creative Commons Zero License, 1.0 | nlx_151283 | SCR_005936 | 2026-08-10 09:32:41 | 13 | |||||||
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WorfDB Resource Report Resource Website 1+ mentions |
WorfDB (RRID:SCR_006028) | data or information resource, database | Database that integrates and disseminates the data from the cloning of complete set of predicted protein-encoding ORFs of Caenorhabditis elegans. It also allows the community to search for availability and quality of cloned ORFs. So far, ORF sequence tags (OSTs) obtained for all individual clones have allowed exon structure corrections for ORFs originally predicted by the C. elegans sequencing consortium. The database contains this OST information along with data pertinent to the cloning process. | open reading frame, c elegans, orf sequence tag |
has parent organization: Dana-Farber Cancer Institute has parent organization: Harvard Medical School; Massachusetts; USA |
NIGMS ; MGRI ; NHGRI 5R01HG01715-02; NCI 7 R33 CA81658-02 |
PMID:12519990 | nif-0000-03644 | SCR_006028 | WorfDB - Worm ORF Database, Worm ORFeome DataBase, Worm ORFeome | 2026-08-10 09:32:43 | 9 | |||||||
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Transcription Regulatory Regions Database Resource Report Resource Website 1+ mentions |
Transcription Regulatory Regions Database (RRID:SCR_005723) | data or information resource, database | TRRD is a unique information resource, accumulating information on structural and functional organization of transcription regulatory regions of eukaryotic genes. Only experimentally confirmed information is included into TRRD. Transcription Regulatory Regions Database (TRRD) is developed for accumulation of experimental information on the structure-function features of regulatory regions of eukaryotic genes. Each entry of TRRD corresponds to a particular gene. The annotated part of an entry includes the structure-function description of gene regulatory regions composed by regulatory units (promoters, silencers, enhancers, etc.), individual transcription factor binding sites that constitute these regulatory units, and transcription factors that bind to these sites. In addition, the entry contains the gene expression patterns and references to original publications. | has parent organization: Siberian Branch of the Russian Academy of Sciences; Novosibirsk; Russia | PMID:11752324 | nif-0000-03594 | SCR_005723 | TRRD | 2026-08-10 09:32:38 | 9 | |||||||||
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Dr.VIS - Human Disease-Related Viral Integration Sites Resource Report Resource Website 1+ mentions |
Dr.VIS - Human Disease-Related Viral Integration Sites (RRID:SCR_005965) | Dr.VIS, Dr. VIS | data or information resource, database | Dr.VIS collects and locates human disease-related viral integration sites. So far, about 600 sites covering 5 virus organisms and 11 human diseases are available. Integration sites in Dr.VIS are located against chromosome, cytoband, gene and refseq position as specific as possible. Viral-cellular junction sequences are extracted from papers and nucleotide databases, and linked to corresponding integration sites Graphic views summarizing distribution of viral integration sites are generated according to chromosome maps. Dr.VIS is built with a hope to facilitate research of human diseases and viruses. Dr.VIS provides curated knowledge of integration sites from chromosome region narrow to genomic position, as well as junction sequences if available. Dr.VIS is an open resource for free. | disease, virus, viral integration, viral integration site, integration site, malignant disease, chromosome region, genomic position, viral-host junction sequence, junction sequence, oncogene, chromosome, catalog, graphic interface, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Tongji University; Shanghai; China |
State Key Basic Research Program 973 2011CB910204; National Natural Science Foundation of China ; Major State Basic Research Development Program ; 863 Hi-Tech Program of China ; National Key Technology R&D Program in the 11th Five Year Plan of China ; Major State Basic Research Development Program of China |
PMID:22135288 | Open - Free to browse and download data in Dr.VIS. | nlx_151323, biotools:dr.vis | http://www.scbit.org/dbmi/drvis, https://bio.tools/dr.vis | SCR_005965 | Dr. VIS - Database of Human Disease-related Viral Integration Sites, Database of Human Disease-related Viral Integration Sites | 2026-08-10 09:32:42 | 1 | ||||
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GOanna Resource Report Resource Website 10+ mentions |
GOanna (RRID:SCR_005684) | GOanna | production service resource, data analysis service, analysis service resource, service resource | GOanna is used to find annotations for proteins using a similarity search. The input can be a list of IDs or it can be a list of sequences in FASTA format. GOanna will retrieve the sequences if necessary and conduct the specified BLAST search against a user-specified database of GO annotated proteins. The resulting file contains GO annotations of the top BLAST hits. The sequence alignments are also provided so the user can use these to access the quality of the match. Platform: Online tool | agriculture, annotation, protein, ontology or annotation search engine, ontology or annotation editor |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: AgBase |
USDA ; Mississippi State University; Mississippi; USA ; MSU Office of Research ; MSU Bagley College of Engineering ; MSU College of College of Veterinary Medicine ; MSU Life Science and Biotechnology Institute |
PMID:17135208 PMID:16961921 |
Free for academic use | nlx_149139 | SCR_005684 | AgBase GOanna | 2026-08-10 09:32:37 | 17 | |||||
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FunTree Resource Report Resource Website 1+ mentions |
FunTree (RRID:SCR_006014) | FunTree | data or information resource, database | FunTree provides a range of data resources to detect the evolution of enzyme function within distant structurally related clusters within domain super families as determined by CATH. To access the resource enter a specific CATH superfamily code or search for a structure / sequence / function (either via a EC code or KEGG ligand / reaction ID, PDB ID or UniProtKB ID). Or browse the resource via superfamily / function / structure / metabolites & reactions via the menu on the left panel. FunTree is a new resource that brings together sequence, structure, phylogenetic, chemical and mechanistic information for structurally defined enzyme superfamilies. Gathering together this range of data into a single resource allows the investigation of how novel enzyme functions have evolved within a structurally defined superfamily as well as providing a means to analyse trends across many superfamilies. This is done not only within the context of an enzyme''''s sequence and structure but also the relationships of their reactions. Developed in tandem with the CATH database, it currently comprises 276 superfamilies covering 1800 (70%) of sequence assigned enzyme reactions. Central to the resource are phylogenetic trees generated from structurally informed multiple sequence alignments using both domain structural alignments supplemented with domain sequences and whole sequence alignments based on commonality of multi-domain architectures. These trees are decorated with functional annotations such as metabolite similarity as well as annotations from manually curated resources such the catalytic site atlas and MACiE for enzyme mechanisms. | enzyme function, enzyme superfamily, enzyme, sequence, structure, phylogenetic, chemical, mechanistic, functional annotation, superfamily, gold standard, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: CATH: Protein Structure Classification is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: KEGG is related to: UniProtKB has parent organization: European Bioinformatics Institute |
European Molecular Biology Laboratory; Heidelberg; Germany ; BBSRC ; Wellcome Trust 081989/Z/07/A; DOE contract DE-AC02-06CH11357 |
PMID:22006843 | Free | biotools:funtree, nlx_151402 | https://bio.tools/funtree | SCR_006014 | 2026-08-10 09:32:43 | 4 | |||||
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ProQuest Resource Report Resource Website 5000+ mentions |
ProQuest (RRID:SCR_006093) | ProQuest | data or information resource, database, service resource | Service that helps users navigate the research journey, connecting people and information from dissertations to governmental and cultural archives to news, in all its forms. Its role is essential to libraries and other organizations whose missions depend on the delivery of complete, trustworthy information. ProQuest''s massive information pool, built through partnerships with content creators, is navigated through technological innovations that enable users to quickly find just the right information. The ProQuest platform moves beyond navigation to empower researchers to use, create, and share contentaccelerating research productivity. The Summon web-scale discovery service is a boon to academic libraries worldwide. ProQuest expanded into corporate and government markets, with the ProQuest Dialog service and acquiring Congressional Information Services and University Publications of America. It acquired ebrary, expanding ProQuest''s content base to include e-books and adding to the technology expertise resident across the enterprise, which also includes such units as Serials Solutions, RefWorks-COS, and Bowker. | library, dissertation, archive, news, information, culture, research, corporate, government, academia, e-book, publication, article |
is parent organization of: ProQuest Dissertations and Theses Global is parent organization of: ProQuest Dissertation Publishing is parent organization of: Dialog is parent organization of: COS |
nlx_151557 | SCR_006093 | ProQuest LLC | 2026-08-10 09:32:44 | 6776 | ||||||||
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ViTa- Virus microRNA Target Resource Report Resource Website 10+ mentions |
ViTa- Virus microRNA Target (RRID:SCR_005955) | data or information resource, database | A database which collects virus data from miRBase and ICTV, VirGne, VBRC., etc, including known viral miRNAs and supporting predicted host miRNA targets by miRanda and TargetScan. ViTa also provides effective annotations, including human miRNA expression, virus infected tissues, annotation of virus and comparisons. Additionally, multiple functions and graphical web interface are designed and implemented to help users to investigate the microRNA roles in viral existence., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | has parent organization: National Chiao Tung University; Hsinchu; Taiwan | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03638 | SCR_005955 | ViTa | 2026-08-10 09:32:42 | 14 | |||||||||
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TRIPLES- a database of TRansposon-Insertion Phenotypes Localization and Expression in Saccharomyces Resource Report Resource Website 1+ mentions |
TRIPLES- a database of TRansposon-Insertion Phenotypes Localization and Expression in Saccharomyces (RRID:SCR_005714) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. TRIPLES provides full public access to the data and reagents generated from ongoing functional analysis of the yeast genome. Using a novel transposon-tagging approach, we have analyzed disruption phenotypes, gene expression, and protein localization on a genome-wide scale in Saccharomyces. The data generated from this study may be accessed through our database, TRIPLES ; additionally, all reagents generated in this study are freely available from on-line order forms (linked to TRIPLES as well). multipurpose, mini-transposon, mutant alleles, phenotypes, protein localization, gene expression, Saccharomyces cerevisiae, Web-accessible database, transposon-mutagenized yeast strains, downloaded, tab-delimited, text file, protein localization data, fluorescent micrographs, staining patterns, indirect immunofluorescence analysis of indicated epitope-tagged proteins, subcellular localization of the yeast proteome, visual library, Nucleic Acid Sequence Data Library (GenBank), clone report, graphic map, transposon insertions (represented as flags) | fluorescent micrographs, fungus genome, gene expression, genome, clone report, downloaded, genomics, graphic map, indirect immunofluorescence analysis of indicated epitope-tagged proteins, microarray data, mini-transposon, multipurpose, mutant alleles, nucleic acid sequence data library (genbank), phenotypes, protein localization, protein localization data, saccharomyces cerevisiae, staining patterns, subcellular localization of the yeast proteome, tab-delimited, text file, transposon insertions (represented as flags), transposon-mutagenized yeast strains, visual library, web-accessible database, yeast | has parent organization: Yale University; Connecticut; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03589 | SCR_005714 | TRIPLES | 2026-08-10 09:32:37 | 3 | ||||||||
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EU Clinical Trials Register Resource Report Resource Website 500+ mentions |
EU Clinical Trials Register (RRID:SCR_005956) | data or information resource, database | Database of European clinical trials containing information on interventional clinical trials on medicines. The information available dates from 1 May 2004 when national medicine regulatory authorities began populating the EudraCT database, the application that is used by national medicine regulatory authorities to enter clinical trial data. The EU Clinical Trials Register website launched on 22 March 2011 enables users to search for information which has been included in the EudraCT database. Users are able to: * view the description of a phase II-IV adult clinical trial where the investigator sites are in European Union member states and the European Economic Area; * view the description of any pediatric clinical trial with investigator sites in the European Union and any trials which form part of a pediatric investigation plan (PIP) including those where the investigator sites are outside the European Union. * download up to 20 results (per request) in a text file (.txt). The details in the clinical trial description include: * the design of the trial; * the sponsor; * the investigational medicine (trade name or active substance identification); * the therapeutic areas; * the status (authorized, ongoing, complete). | clinical trial, clinical, drug, pediatric, adult human, child, medicine, intervention, FASEB list |
is used by: NIF Data Federation is used by: Integrated Clinical Trials has parent organization: European Medicines Agency |
Public | nlx_151313 | SCR_005956 | Clinicaltrialsregister.eu, European Union Clinical Trials Register, clinical trials register | 2026-08-10 09:32:42 | 535 | ||||||||
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3D Facial Norms Database Resource Report Resource Website 1+ mentions |
3D Facial Norms Database (RRID:SCR_005991) | 3D Facial Norms Database | data or information resource, database | Database of high-quality craniofacial anthropometric normative data for the research and clinical community based on digital stereophotogrammetry. Unlike traditional craniofacial normative datasets that are limited to measures obtained with handheld calipers and tape measurers, the anthropometric data provided here are based on digital stereophotogrammetry, a method of 3D surface imaging ideally suited for capturing human facial surface morphology. Also unlike more traditional normative craniofacial resources, the 3D Facial Norms Database allows users to interact with data via an intuitive graphical interface and - given proper credentials - gain access to individual-level data, allowing users to perform their own analyses. | face, phenotype, genotype, facial landmark, coordinate, anthropometric, facial measurement | has parent organization: FaceBase | NIDCR U01DE020078 | nlx_151373 | SCR_005991 | 2026-08-10 09:32:43 | 2 | ||||||||
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omniBiomarker Resource Report Resource Website 1+ mentions |
omniBiomarker (RRID:SCR_005750) | omniBiomarker | production service resource, data analysis service, analysis service resource, service resource | omniBiomarker is a web-application for analysis of high-throughput -omic data. Its primary function is to identify differentially expressed biomarkers that may be used for diagnostic or prognostic clinical prediction. Currently, omniBiomarker allows users to analyze their data with many different ranking methods simultaneously using a high-performance compute cluster. The next release of omniBiomarker will automatically select the most biologically relevant ranking method based on user input regarding prior knowledge. The omniBiomarker workflow * Data: Gene Expression * Algorithms: Knowledge-Driven Gene Ranking * Differentially expressed Genes * Clinical / Biological Validation * Knowledge: NCI Thesaurus of Cancer, Cancer Gene Index * back to Algorithms | gene, gene expression, algorithm, cancer, cancer gene, cancer gene index, biocomputing, biomarker, clinical, gene ranking |
has parent organization: Georgia Institute of Technology; Georgia; USA has parent organization: Emory University; Georgia; USA |
Cancer | Georgia Cancer Coalition ; NCI U54CA119338; NCI R01CA108468 |
PMID:19695674 | nlx_149210 | SCR_005750 | omniBiomarker: Knowledge-Driven Biomarker Identification and Data Combination | 2026-08-10 09:32:38 | 3 | |||||
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IGDB.NSCLC Resource Report Resource Website 1+ mentions |
IGDB.NSCLC (RRID:SCR_006048) | IGDB.NSCLC | data or information resource, database | IGDB.NSCLC database is aiming to facilitate and prioritize identified lung cancer genes and microRNAs for pathological and mechanistic studies of lung tumorigenesis and for developing new strategies for clinical interventions. We integrated and curated various lung cancer genomic datasets to present # lung cancer genes with somatic mutations, experimental supports and statistic significance in association with clinicopathological features; # genomic alterations with copy number alterations (CNA) detected by high density SNP arrays, gain or loss regions detected by arrayed comparative genome hybridization (aCGH), and loss of heterozygosity (LOH) detected by microsatellite markers; # aberrant expression of genes and microRNAs detected by various microarrays. IGDB.NSCLC database provides user friendly interfaces and searching functions to display multiple layers of evidence for detecting lung cancer target genes and microRNAs, especially emphasizing on concordant alterations: # genes with altered expression located in the CNA regions; # microRNAs with altered expression located in the CNA regions; # somatic mutation genes located in the CNA regions; and # genes associated with clinicopathological features located in the CNA regions. These concordant altered genes and miRNAs should be prioritized for further basic and clinical studies. | genomic database, non-small cell lung cancer, lung, pulmonary, cancer, genome, lung adenocarcinoma, squamous cell carcinoma, genomic alteration, lung tumorigenesis, copy number alteration, heterozygosity, gene, microrna, somatic mutation, clinical information, alteration, gene expression, microrna expression, somatic mutation, chromosome, lung cancer gene, aberrant expression, microarray, clinicopathology | has parent organization: Academia Sinica; Taipei; Taiwan | Non-small cell lung cancer, Lung cancer, Adenocarcinoma, Squamous Cell Carcinoma | National Research Program for Genomic Medicine NSC98-3112-B-001-004; National Research Program for Genomic Medicine NSC98-3112-B-001-031; National Science Council Taiwan NSC100-2325-B-001-012 |
PMID:22139933 | nlx_151446 | SCR_006048 | Integrated Genomic Database of Non-Small Cell Lung Cancer | 2026-08-10 09:32:44 | 5 | |||||
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KI Biobank - Tissue Biobank Resource Report Resource Website 1+ mentions |
KI Biobank - Tissue Biobank (RRID:SCR_006043) | KI Biobank - Tissue Biobank | material resource, tissue bank, biomaterial supply resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 4, 2014. Tissue Biobank collects samples from different types of cancers patients prospectively. Blood samples are being sent to KI Biobank for DNA extraction and storage. Number of sample donors: 611 (June 2010) | blood, dna |
is listed by: One Mind Biospecimen Bank Listing has parent organization: Karolisnka Biobank |
Cancer | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151440 | SCR_006043 | 2026-08-10 09:32:43 | 1 | |||||||
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DBETH - Database for Bacterial ExoToxins for Humans Resource Report Resource Website 1+ mentions |
DBETH - Database for Bacterial ExoToxins for Humans (RRID:SCR_005908) | DBETH | data or information resource, database | Database of Bacterial ExoToxins for Human is a database of sequences, structures, interaction networks and analytical results for 229 exotoxins, from 26 different human pathogenic bacterial genus. All toxins are classified into 24 different Toxin classes. The aim of DBETH is to provide a comprehensive database for human pathogenic bacterial exotoxins. DBETH also provides a platform to its users to identify potential exotoxin like sequences through Homology based as well as Non-homology based methods. In homology based approach the users can identify potential exotoxin like sequences either running BLASTp against the toxin sequences or by running HMMER against toxin domains identified by DBETH from human pathogenic bacterial exotoxins. In Non-homology based part DBETH uses a machine learning approach to identify potential exotoxins (Toxin Prediction by Support Vector Machine based approach). | sequence, structure, interaction network, human, pathogen, bacterial genus, toxin, bacteria, exotoxin, homology, homolog, structure, sequence, domain, prediction, mechanism, activity, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: CSIR - Indian Institute of Chemical Biology; Kolkata; India |
Council of Scientific and Industrial Research; New Delhi; India | PMID:22102573 | nlx_149481, biotools:dbeth | https://bio.tools/dbeth | SCR_005908 | Database for Bacterial ExoToxins for Humans | 2026-08-10 09:32:41 | 2 |
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