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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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PAZAR Resource Report Resource Website 10+ mentions |
PAZAR (RRID:SCR_005410) | PAZAR | data or information resource, data repository, database, service resource, software resource, storage service resource | Database that unites independently created and maintained data collections of transcription factor and regulatory sequence annotation. The flexible PAZAR schema permits the representation of diverse information derived from experiments ranging from biochemical protein-DNA binding to cellular reporter gene assays. Data collections can be made available to the public, or restricted to specific system users. The data ''boutiques'' within the shopping-mall-inspired system facilitate the analysis of genomics data and the creation of predictive models of gene regulation., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | transcription factor, target gene, regulatory sequence, transcription factor profile, annotation, sequence, profile, transcription factor binding profile, chip, chip-seq, gene, cis-regulatory element, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of British Columbia; British Columbia; Canada has parent organization: SourceForge |
PMID:18971253 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00540, biotools:pazar | https://bio.tools/pazar | SCR_005410 | 2026-08-29 11:22:14 | 32 | ||||||
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Genetic Testing Registry Resource Report Resource Website 10+ mentions |
Genetic Testing Registry (RRID:SCR_005565) | GTR | data or information resource, data repository, database, service resource, storage service resource | Central location for voluntary submission of genetic test information by providers including the test''s purpose, methodology, validity, evidence of the test''s usefulness, and laboratory contacts and credentials. GTR aims to advance the public health and research into the genetic basis of health and disease. GTR is accepting registration of clinical tests for Mendelian disorders, complex tests and arrays, and pharmacogenetic tests. These tests may include multiple methods and may include multiple major method categories such as biochemical, cytogenetic, and molecular tests. GTR is not currently accepting registration of tests for somatic disorders, research tests or direct-to-consumer tests. | genetic, gene, clinical, genetic test, condition, phenotype, disease name, trait, drug, protein, analyte, disease, laboratory, molecular, clinical, genetics, people |
lists: MedGen is listed by: OMICtools has parent organization: NCBI |
The community can contribute to this resource | OMICS_01541, nlx_144654 | SCR_005565 | NIH Genetic Testing Registry, GTR: Genetic Testing Registry | 2026-08-29 11:22:23 | 36 | |||||||
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TRANSPATH Resource Report Resource Website 1+ mentions |
TRANSPATH (RRID:SCR_005640) | TRANSPATH | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Database on eukaryotic transcription factors, their experimentally-proven binding sites, consensus binding sequences (positional weight matrices) and regulated genes. Its broad compilation of binding sites allows the derivation of positional weight matrices. It can either be used as an encyclopedia, for both specific and general information on signal transduction, or can serve as a network analyzer. Cross-references to important sequence and signature databases such as EMBL/GenBank UniProt/Swiss-Prot InterPro or Ensembl EntrezGene RefSeq are provided. The database is equipped with the tools for data visualization and analysis. It has three modules: the first one is the data, which have been manually extracted, mostly from the primary literature; the second is PathwayBuilder, which provides several different types of network visualization and hence facilitates understanding; the third is ArrayAnalyzer, which is particularly suited to gene expression array interpretation, and is able to identify key molecules within signalling networks (potential drug targets). These key molecules could be responsible for the coordinated regulation of downstream events. Manual data extraction focuses on direct reactions between signalling molecules and the experimental evidence for them, including species of genes/proteins used in individual experiments, experimental systems, materials and methods. This combination of materials and methods is used in TRANSPATH to assign a quality value to each experimentally proven reaction, which reflects the probability that this reaction would happen under physiological conditions. Another important feature in TRANSPATH is the inclusion of transcription factor-gene relations, which are transferred from TRANSFAC, a database focused on transcription regulation and transcription factors. Since interactions between molecules are mainly direct, this allows a complete and stepwise pathway reconstruction from ligands to regulated genes. | signal transduction, network analyzer, transcriptional regulator, transcription factor, metabolic pathway, signaling pathway, protein-protein interaction, gene-regulatory pathway, signal transduction pathway, complex, signaling molecule, reaction, molecule, gene, pathway, gene expression |
is related to: TRANSFAC is related to: GeneTrail has parent organization: BIOBASE Corporation |
BMBF 031U210B; BMBF 0313092; European Union FP6 contract LSHG-CT-2004-503568; European Union MRTN-CT-2004-512285 |
PMID:18629064 PMID:16381929 PMID:12519957 PMID:11724734 |
Free for academic use, Free for non-profit use, Account required | nif-0000-03580 | http://transpath.gbf.de, http://www.gene-regulation.com/pub/databases.html, http://www.biobase.de/pages/products/databases.html | SCR_005640 | 2026-08-29 11:22:24 | 3 | |||||
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Roth Laboratory Resource Report Resource Website 1+ mentions |
Roth Laboratory (RRID:SCR_005711) | Roth Lab | data or information resource, laboratory portal, organization portal, portal, software resource | The Roth Laboratory is designing and interpreting large-scale experiments to understand pathway structure and its relationship to phenotype and human disease. Software for research focused on a specific research goal is available. Current experimental interests: * Exploiting parallel sequencing technology to phenotype all pairwise gene deletion combinations in S. cerevisiae, with initial application to genes involved in transcription. * Generation of S. cerevisiae strains carrying dozens of chosen targeted deletions, with initial application to delete all ABC transporters imparting multidrug resistance. * Targeted insertion of gene sets encoding entire human pathways into S. cerevisiae, with initial application to genes involved in drug metabolism. Current computational interests: * Systematic analysis of genetic interaction to reveal redundant systems and order of action in genetic pathways * Integrating large-scale studies - including phenotype, genetic epistasis, protein-protein and transcription-regulatory interactions and sequence patterns - to quantitatively assign function to genes and guide experimentation and disease association studies. * Alternative splicing and its relationship to protein interaction networks. | gene, pathway, phenotype, disease, transcription, drug metabolism, drug, metabolism, protein-protein interaction, transcription-regulatory interaction, protein interaction, protein |
has parent organization: University of Toronto; Ontario; Canada has parent organization: Harvard Medical School; Massachusetts; USA is parent organization of: FuncAssociate: The Gene Set Functionator |
nlx_149163 | http://llama.med.harvard.edu | SCR_005711 | 2026-08-29 11:22:29 | 5 | ||||||||
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netClass Resource Report Resource Website |
netClass (RRID:SCR_005672) | netClass | software resource | An R package for network-based feature (gene) selection for biomarkers discovery via integrating biological information. The package adapts the following 5 algorithms for classifying and predicting gene expression data using prior knowledge: # average gene expression of pathway (aep); # pathway activities classification (PAC); # Hub network classification (hubc); # filter via top ranked genes (FrSVM); # network smoothed t-statistic (stSVM). | protein-protein interaction network, biomarker discovery, classification, micoarray, gene expression profile, protein-protein interaction, gene expression, gene, biomarker |
is listed by: OMICtools has parent organization: SourceForge |
PMID:24443376 | Free, Public | OMICS_02241 | SCR_005672 | 2026-08-29 11:22:21 | 0 | |||||||
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GUMC Department of Biostatistics Bioinformatics and Biomathematics - Liu Lab Resource Report Resource Website |
GUMC Department of Biostatistics Bioinformatics and Biomathematics - Liu Lab (RRID:SCR_005708) | GUMC Liu Lab | data or information resource, laboratory portal, organization portal, portal | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. | microarray, data mining, natural language processing, biomedical, ontology, biomedicine, data analysis, dna microarray, gene | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149157 | SCR_005708 | Georgetown University Medical Center Department of Biostatistics Bioinformatics and Biomathematics - Liu Lab, Georgetown University Medical Center Liu Lab, GUMC Department of Biostatistics Bioinformatics Biomathematics - Liu Lab | 2026-08-29 11:22:25 | 0 | ||||||||
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GeneMANIA Resource Report Resource Website 1000+ mentions |
GeneMANIA (RRID:SCR_005709) | GeneMANIA | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource, software resource | Data analysis service to predict the function of your favorite genes and gene sets. Indexing 1,421 association networks containing 266,984,699 interactions mapped to 155,238 genes from 7 organisms. GeneMANIA interaction networks are available for download in plain text format. GeneMANIA finds other genes that are related to a set of input genes, using a very large set of functional association data. Association data include protein and genetic interactions, pathways, co-expression, co-localization and protein domain similarity. You can use GeneMANIA to find new members of a pathway or complex, find additional genes you may have missed in your screen or find new genes with a specific function, such as protein kinases. Your question is defined by the set of genes you input. If members of your gene list make up a protein complex, GeneMANIA will return more potential members of the protein complex. If you enter a gene list, GeneMANIA will return connections between your genes, within the selected datasets. GeneMANIA suggests annotations for genes based on Gene Ontology term enrichment of highly interacting genes with the gene of interest. GeneMANIA is also a gene recommendation system. GeneMANIA is also accessible via a Cytoscape plugin, designed for power users. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, association data, protein interaction, genetic interaction, pathway, co-expression, co-localization, protein, software library, statistical analysis, term enrichment, analysis, browser, gene ontology, gene predicting, gene prioritization, database or data warehouse, other analysis, interaction browser, protein-protein interaction, interaction, FASEB list |
is listed by: Gene Ontology Tools is related to: Cytoscape is related to: Gene Ontology is related to: PSICQUIC Registry has parent organization: University of Toronto; Ontario; Canada |
Genome Canada ; Ontario Ministry of Research and Innovation 2007-OGI-TD-05 |
PMID:20576703 PMID:18613948 PMID:20926419 |
Open unspecified license, Free for academic use | nlx_149159, r3d100013978 | https://doi.org/10.17616/R31NJNA2 | SCR_005709 | 2026-08-29 11:22:22 | 4535 | |||||
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MolGen Resource Report Resource Website 10+ mentions |
MolGen (RRID:SCR_005700) | MolGen | data or information resource, portal, topical portal | The research of the group concentrates on the molecular biology of Gram-positive bacteria, with Bacillus subtilis and Lactococcus lactis as the main model organisms. A number of important (human) pathogens are also investigated: Bacillus cereus, Streptococcus pneumoniae and Enterococcus faecalis. The nature of the research is both fundamental and application-oriented. Transcript- and protein profiling by high-throughput technologies such as DNA microarrays and proteomics tools are being used. The very large data sets generated are analyzed by employing existing and novel bioinformatics tools. Major lines of research are in the field of functional genomics of these organisms, using systems- and synthetic biology approaches. | molecular biology, gram-positive bacteria, pathogen, transcript, protein, profile, high-throughput, dna microarray, proteomics, dna, microarray, functional genomics, bioinformatics, genetics, gene |
has parent organization: University of Groningen; Groningen; Netherlands is parent organization of: FIVA - Functional Information Viewer and Analyzer |
nlx_149166 | http://molgen.biol.rug.nl/molgen/index.php | SCR_005700 | Molecular Genetics | 2026-08-29 11:22:28 | 28 | |||||||
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KI Biobank Resource Report Resource Website |
KI Biobank (RRID:SCR_005664) | KI Biobank - Gallstone | biomaterial supply resource, material resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. KI Biobank - Gallstone aims at investigating genetics of gallstone disease on Swedish Twins. Types of samples * EDTA whole blood * DNA * Plasma Number of sample donors: 82 | gene, genetics |
is listed by: One Mind Biospecimen Bank Listing is related to: Swedish Twin Registry has parent organization: Karolisnka Biobank |
Gallstone disease, Twin | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151297, nlx_151300, SCR_005796 | https://www.researchgate.net/publication/246710484_Gallstone_disease_in_Swedish_twins_is_linked_to_ABCG8_D19H_risk_genotype | SCR_005664 | KI Biobank - Gallstone, KI Biobank - KTS | 2026-08-29 11:22:24 | 0 | |||||
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Brain Basics Resource Report Resource Website |
Brain Basics (RRID:SCR_005606) | Brain Basics | data or information resource, narrative resource, training material, video resource | Brain Basics provides information on how the brain works, how mental illnesses are disorders of the brain, and ongoing research that helps us better understand and treat disorders. Mental disorders are common. You may have a friend, colleague, or relative with a mental disorder, or perhaps you have experienced one yourself at some point. Such disorders include depression, anxiety disorders, bipolar disorder, attention deficit hyperactivity disorder (ADHD), and many others. Some people who develop a mental illness may recover completely; others may have repeated episodes of illness with relatively stable periods in between. Still others live with symptoms of mental illness every day. They can be moderate, or serious and cause severe disability. Through research, we know that mental disorders are brain disorders. Evidence shows that they can be related to changes in the anatomy, physiology, and chemistry of the nervous system. When the brain cannot effectively coordinate the billions of cells in the body, the results can affect many aspects of life. Scientists are continually learning more about how the brain grows and works in healthy people, and how normal brain development and function can go awry, leading to mental illnesses. Brain Basics will introduce you to some of this science, such as: * How the brain develops * How genes and the environment affect the brain * The basic structure of the brain * How different parts of the brain communicate and work with each other * How changes in the brain can lead to mental disorders, such as depression. | brain, depression, anxiety disorder, bipolar disorder, attention deficit-hyperactivity disorder, depressive disorder, mental disease, gene, environment | has parent organization: NIMH Educational Resources | NIMH | nlx_146226 | SCR_005606 | NIMH Brain Basics | 2026-08-29 11:22:19 | 0 | |||||||
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TAIR Keyword Browser Resource Report Resource Website 10+ mentions |
TAIR Keyword Browser (RRID:SCR_005687) | TAIR Keyword Browser | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | TAIR Keyword Browser searches and browses for Gene Ontology, TAIR Anatomy, and TAIR Developmental stage terms, and allows you to view term details and relationships among terms. It includes links to genes, publications, microarray experiments and annotations associated with the term or any children terms. Platform: Online tool | gene ontology, gene, publication, microarray, annotation, cellular component, biological process, molecular function, plant, growth, development, stage, anatomical entity, anatomy, ontology, browser, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: TAIR |
Free for academic use | nlx_149132 | http://www.arabidopsis.org/servlets/Search?action=new_search&type=keyword | SCR_005687 | TAIR Keyword Search and Browse, The Arabidopsis Information Resource Keyword Browser | 2026-08-29 11:22:22 | 37 | ||||||
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GOTaxExplorer Resource Report Resource Website |
GOTaxExplorer (RRID:SCR_005720) | GOTaxExplorer | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource, software resource | GOTaxExplorer presents a new approach to comparative genomics that integrates functional information and families with the taxonomic classification. It integrates UniProt, Gene Ontology, NCBI Taxonomy, Pfam and SMART in one database. GOTaxExplorer provides four different query types: selection of entity sets, comparison of sets of Pfam families, semantic comparison of sets of GO terms, functional comparison of sets of gene products. This permits to select custom sets of GO terms, families or taxonomic groups. For example, it is possible to compare arbitrarily selected organisms or groups of organisms from the taxonomic tree on the basis of the functionality of their genes. Furthermore, it enables to determine the distribution of specific molecular functions or protein families in the taxonomy. The comparison of sets of GO terms allows to assess the semantic similarity of two different GO terms. The functional comparison of gene products makes it possible to identify functionally equivalent and functionally related gene products from two organisms on the basis of GO annotations and a semantic similarity measure for GO. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, molecular function, protein family, taxonomy, visualization, functional similarity, semantic similarity, analysis, comparative genomics analysis, comparative genomics, search engine, ontology or annotation search engine, ontology or annotation visualization, database or data warehouse, function, other analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: UniProt is related to: NCBI Taxonomy is related to: Pfam is related to: SMART is related to: FSST - Functional Similarity Search Tool has parent organization: Max-Planck-Institute for Informatics; Saarbrucken; Germany |
German National Genome Research Network ; BMBF 016R0453; DFG KFO 129/1-1; European Union contract LSHG-CT-2003-503265 |
PMID:17346342 | Free for academic use | nlx_149179 | SCR_005720 | 2026-08-29 11:22:29 | 0 | ||||||
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Onto-Miner Resource Report Resource Website |
Onto-Miner (RRID:SCR_005722) | OM | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Onto-Miner (OM) provides a single and convenient interface that allows the user to interrogate our databases regarding annotations of known genes. OM will return all known information about a given list of genes. Advantages of OM include the fact it allows queries with multiple genes and allows for scripting. This is unlike GenBank which uses a single gene navigation process. Scripted search of the Onto-Tools database for gene annotations. User account required. Platform: Online tool | gene, annotation, search engine, database, analysis, ontology or annotation search engine, database or data warehouse, other analysis, scripted search of the onto-tools database for gene annotations |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Wayne State University; Michigan; USA |
PMID:15215428 PMID:17584796 |
Free for academic use | nlx_149181 | SCR_005722 | Onto-Miner (OM) | 2026-08-29 11:22:23 | 0 | ||||||
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GOfetcher Resource Report Resource Website |
GOfetcher (RRID:SCR_005681) | GOfetcher | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 29, 2012. We developed a web application, GOfetcher, with a very comprehensive search facility for the GO project and a variety of output formats for the results. GOfetcher has three different levels for searching the GO: Quick Search, Advanced Search, and Upload Files for searching. The application includes a unique search option which generates gene information given a nucleotide or protein accession number which can then be used in generating gene ontology information. The output data in GOfetcher can be saved into several different formats; including spreadsheet, comma-separated values, and the Extensible Markup Language (XML) format. Platform: Online tool | gene, nucleotide, protein, ontology, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Southern Mississippi; Mississippi; USA |
NSF EPS-0556308; U.S. Army ; Environmental Quality Program contract #W912HZ-05-P-0145 |
PMID:18728045 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149124 | http://mcbc.usm.edu/gofetcher/ | SCR_005681 | GOfetcher: a database with complex searching facility for gene ontology | 2026-08-29 11:22:28 | 0 | ||||
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GoFish Resource Report Resource Website 1+ mentions |
GoFish (RRID:SCR_005682) | GoFish | analysis service resource, data analysis service, production service resource, service resource, software resource, source code | Software program, available as a Java applet online or to download, allows the user to select a subset of Gene Ontology (GO) attributes, and ranks genes according to the probability of having all those attributes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, ontology or annotation browser, java, windows, mac os x, linux, unix, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: University of Toronto; Ontario; Canada has parent organization: Harvard Medical School; Massachusetts; USA |
Aventis Pharmaceuticals ; Howard Hughes Medical Institute ; NHGRI |
PMID:12691998 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:gofish, nlx_149126, OMICS_02272 | http://llama.mshri.on.ca/Software.html, https://bio.tools/gofish | SCR_005682 | 2026-08-29 11:22:24 | 1 | |||||
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Hepatitis C Virus Database (HCVdb) Resource Report Resource Website 1+ mentions |
Hepatitis C Virus Database (HCVdb) (RRID:SCR_005718) | HCVdb, | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | The Hepatitis C Virus Database (HCVdb) is a cooperative project of several groups with the mission of providing to the scientific community studying the hepatitis C virus a comprehensive battery of informational and analytical tools. The Viral Bioinformatics Resource Center (VBRC), the Immune Epitope Database and Analysis Resource (IEDB), the Broad Institute Microbial Sequencing Center (MSC), and the Los Alamos HCV Sequence Database (HCV-LANL) are combining forces to acquire and annotate data on Hepatitis C virus, and to develop and utilize new tools to facilitate the study of this group of organisms. | hepatitis c, hepatitis c virus, genome, gene, virus, ortholog comparison, ortholog | has parent organization: VBRC | Hepatitis C virus | NIAID contract HHSN266200400036C | nlx_149175 | SCR_005718 | Hepatitis C Viral Database | 2026-08-29 11:22:25 | 4 | ||||||
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BrainStars Resource Report Resource Website 10+ mentions |
BrainStars (RRID:SCR_005810) | B* | data access protocol, data or information resource, database, software resource, web service | BrainStars (or B*) is a quantitative expression database of the adult mouse brain. The database has genome-wide expression profile at 51 adult mouse CNS regions. For 51 CNS regions, slices (0.5-mm thick) of mouse brain were cut on a Mouse Brain Matrix, frozen, and the specific regions were punched out bilaterally with a microdissecting needle (gauge 0.5 mm) under a stereomicroscope. For each region, we took samples every 4 hours, starting at ZT0 (Zeitgaber time 0; the time of lights on), for 24 hours (6 time-point samples for each region), and we pooled the samples from the different time points. We independently sampled each region twice (n=2). These samples were purified their RNA, and measured with Affymetrix GeneChip Mouse Genome 430 2.0 arrays. Expression values were then summarized with the RMA method. After several analysis with the expression data, the data and analysis results were stored in the BrainStars database. The database has a REST-like Web API interface for accessing from your Web applications. This document shows how to access the database via our Web API. | mouse, brain, adult, expression profile, affymetrix genechip mouse genome 430 2.0 array, rna, central nervous system, gene expression, gene |
is related to: Allen Mouse Brain Reference Atlas is related to: Allen Institute for Brain Science has parent organization: RIKEN has parent organization: Kindai University School of Medicine; Osaka; Japan |
Japanese Ministry of Education Culture Sports Science and Technology MEXT | PMID:21858037 | BrainStars data, Images and texts (excluding ABA data and images) are licensed under a Creative Commons Attribution 2.1 Japan License. | nlx_149301 | SCR_005810 | BrainStars Database, BrainStars (B*) | 2026-08-29 11:22:30 | 15 | |||||
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GARBAN Resource Report Resource Website |
GARBAN (RRID:SCR_005778) | GARBAN | analysis service resource, data analysis service, production service resource, service resource, software resource, source code | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 12, 2012. GARBAN is a tool for analysis and rapid functional annotation of data arising from cDNA microarrays and proteomics techniques. GARBAN has been implemented with bioinformatic tools to rapidly compare, classify, and graphically represent multiple sets of data (genes/ESTs, or proteins), with the specific aim of facilitating the identification of molecular markers in pathological and pharmacological studies. GARBAN has links to the major genomic and proteomic databases (Ensembl, GeneBank, UniProt Knowledgebase, InterPro, etc.), and follows the criteria of the Gene Ontology Consortium (GO) for ontological classifications. Source may be shared: e-mail garban (at) ceit.es. Platform: Online tool | cdna microarray, proteomics, cdna, microarray, statistical analysis, gene, est, protein, genomic, gene ontology |
is listed by: Gene Ontology Tools is related to: Gene Ontology |
PMID:14594726 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149247 | http://garban.tecnun.es | SCR_005778 | Genomic Analysis and Rapid Biological ANnotation, University of Navarra; Pamplona; Spain | 2026-08-29 11:22:24 | 0 | |||||
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FunCluster Resource Report Resource Website 1+ mentions |
FunCluster (RRID:SCR_005774) | FunCluster | data analysis software, data processing software, software application, software resource | FunCluster is a genomic data analysis algorithm which performs functional analysis of gene expression data obtained from cDNA microarray experiments. Besides automated functional annotation of gene expression data, FunCluster functional analysis aims to detect co-regulated biological processes through a specially designed clustering procedure involving biological annotations and gene expression data. FunCluster''''s functional analysis relies on Gene Ontology and KEGG annotations and is currently available for three organisms: Homo Sapiens, Mus Musculus and Saccharomyces Cerevisiae. FunCluster is provided as a standalone R package, which can be run on any operating system for which an R environment implementation is available (Windows, Mac OS, various flavors of Linux and Unix). Download it from the FunCluster website, or from the worldwide mirrors of CRAN. FunCluster is provided freely under the GNU General Public License 2.0. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | genomic, gene, functional analysis, gene expression, cdna microarray, cdna, microarray, function, cluster, annotation, biological process, statistical analysis, bio.tools |
is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: Cordelier Research Center |
PMID:17007070 PMID:16506959 PMID:16046292 |
Free for academic use, GNU General Public License, v2 | nlx_149242, biotools:funcluster | https://bio.tools/funcluster | SCR_005774 | FunCluster R Package, FunCluster Algorithm | 2026-08-29 11:22:26 | 2 | |||||
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GREAT: Genomic Regions Enrichment of Annotations Tool Resource Report Resource Website 50+ mentions |
GREAT: Genomic Regions Enrichment of Annotations Tool (RRID:SCR_005807) | GREAT | analysis service resource, data analysis service, production service resource, service resource, software resource, source code | Data analysis service that predicts functions of cis-regulatory regions identified by localized measurements of DNA binding events across an entire genome. Whereas previous methods took into account only binding proximal to genes, GREAT is able to properly incorporate distal binding sites and control for false positives using a binomial test over the input genomic regions. GREAT incorporates annotations from 20 ontologies and is available as a web application. The utility of GREAT extends to data generated for transcription-associated factors, open chromatin, localized epigenomic markers and similar functional data sets, and comparative genomics sets. Platform: Online tool | term enrichment, cis-regulatory region, function, gene, genomic, annotation, ontology, chromatin immunoprecipitation, sequencing, chip-seq, comparative genomics, transcription factor binding |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: PRISM (Stanford database) is related to: Gene Ontology has parent organization: Stanford University School of Medicine; California; USA |
Bio-X ; Howard Hughes Medical Institute ; Stanford University; California; USA ; Packard ; Searle Scholar ; Microsoft Research ; Alfred P. Sloan Foundation ; Edward Mallinckrodt Jr. Foundation ; NIH ; Human Frontier Science Program fellowship LT000896/2009-l; NICHD 1R01HD059862; NHGRI R01HG005058; NSF CCF-0939370; DFG Hi 1423/2-1 |
PMID:20436461 PMID:23814184 |
Free for academic use, Acknowledgement requested | nlx_149295, OMICS_00635 | SCR_005807 | Genomic Regions Enrichment of Annotations Tool (GREAT), Genomic Regions Enrichment of Annotations Tool | 2026-08-29 11:22:24 | 89 |
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