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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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FunCluster Resource Report Resource Website 1+ mentions |
FunCluster (RRID:SCR_005774) | FunCluster | data analysis software, software resource, data processing software, software application | 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 | 2026-02-14 02:00:58 | 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 | data analysis service, analysis service resource, production service resource, source code, service resource, software resource | 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 | 2026-02-14 02:01:10 | 82 | |||||
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GOHyperGAll Resource Report Resource Website 1+ mentions |
GOHyperGAll (RRID:SCR_005766) | GOHyperGAll | data analysis software, software resource, data processing software, software application | To test a sample population of genes for overrepresentation of GO terms, the R/BioC function GOHyperGAll computes for all GO nodes a hypergeometric distribution test and returns the corresponding p-values. A subsequent filter function performs a GO Slim analysis using default or custom GO Slim categories. Basic knowledge about R and BioConductor is required for using this tool. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, gene ontology, annotation, statistical analysis, slimmer-type tool |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of California at Riverside; California; USA |
PMID:18354039 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149267 | SCR_005766 | 2026-02-14 02:00:58 | 4 | |||||||
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InterProScan Resource Report Resource Website 5000+ mentions |
InterProScan (RRID:SCR_005829) | web service, data processing software, data analysis service, analysis service resource, data analysis software, production service resource, service resource, software application, data access protocol, software resource | Software package for functional analysis of sequences by classifying them into families and predicting presence of domains and sites. Scans sequences against InterPro's signatures. Characterizes nucleotide or protein function by matching it with models from several different databases. Used in large scale analysis of whole proteomes, genomes and metagenomes. Available as Web based version and standalone Perl version and SOAP Web Service. | functional, analysis, sequence, protein, nucleotide, predict, presence, domain, site, proteome, genome, metagenome, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: bio.tools is listed by: Debian is listed by: SoftCite is related to: Gene Ontology is related to: RARTF is related to: InterPro is related to: LegumeIP is related to: UniProtKB has parent organization: European Bioinformatics Institute |
European Union ; Biotechnology and Biological Sciences Research Council ; EMBL |
PMID:15980438 PMID:17202162 PMID:24451626 |
Free, Available for download, Freely available | OMICS_01479, biotools:interproscan_4, nlx_149337 | https://www.ebi.ac.uk/interpro/download.html https://bio.tools/interproscan_4 |
SCR_005829 | InterProScan Sequence Search, InterProScan 2, InterProScan 3, InterProScan 4, InterProScan 5 | 2026-02-14 02:01:11 | 6936 | |||||
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Whatizit Resource Report Resource Website 1+ mentions |
Whatizit (RRID:SCR_005824) | Whatizit | web service, data analysis service, analysis service resource, production service resource, service resource, data access protocol, software resource | A text processing system that allows you to do textmining tasks on text. It is great at identifying molecular biology terms and linking them to publicly available databases. Whatizit is also a Medline abstracts retrieval/search engine. Instead of providing the text by Copy&Paste, you can launch a Medline search. The abstracts that match your search criteria are retrieved and processed by a pipeline of your choice. Whatizit is also available as 1) a webservice and as 2) a streamed servlet. The webservice allows you to enrich content within your website in a similar way as in the wikipedia. The streamed servlet allows you to process large amounts of text. | textual analysis, protein, gene, gene ontology, text-mining, annotation, literature analysis |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology is related to: UniProt is related to: MEDLINE is related to: NCBI Taxonomy has parent organization: European Bioinformatics Institute |
Free for academic use | OMICS_01200, nlx_149329 | http://www.ebi.ac.uk/webservices/whatizit | SCR_005824 | 2026-02-14 02:01:10 | 8 | |||||||
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GOEx - Gene Ontology Explorer Resource Report Resource Website 10+ mentions |
GOEx - Gene Ontology Explorer (RRID:SCR_005779) | GOEx | software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented July 5, 2018. Gene Ontology Explorer (GOEx) combines data from protein fold changes with GO over-representation statistics to help draw conclusions in proteomic experiments. It is tightly integrated within the PatternLab for Proteomics project and, thus, lies within a complete computational environment that provides parsers and pattern recognition tools designed for spectral counting. GOEx offers three independent methods to query data: an interactive directed acyclic graph, a specialist mode where key words can be searched, and an automatic search. A recent hack included in GOEx is to load the sparse matrix index file directly into GOEx, instead of going through the report generation using the AC/T-fold methods. This makes it easy for GOEx to analyze any list of proteins as long as the list follows the index file format (described in manuscript) . Please note that if using this alternative strategy, there will be no protein fold information. Platform: Windows compatible | proteomics, visualization, statistical analysis, gene ontology, parse, pattern recognition, spectral counting, analysis, protein fold |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Scripps Research Institute |
CNPq ; CAPES ; FAPERJ BBP grant ; PAPES ; PDTIS ; Ary Frauzino Foundation ; NIAID ; NIH ; genesis molecular biology laboratory ; Fiocruz-INCA collaboration ; NIAID UCSD/MCB0237059; NCRR P41RR011823; NIMH 5R01 MH067880 |
PMID:19239707 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149249 | http://pcarvalho.com/patternlab/goex.shtml | SCR_005779 | Gene Ontology Explorer, GO Explorer | 2026-02-14 02:01:00 | 26 | ||||
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OWLTools Resource Report Resource Website 10+ mentions |
OWLTools (RRID:SCR_005732) | OWLTools | software resource | OWLTools (aka OWL2LS - OWL2 Life Sciences) is a java API for accessing ontologies in either OBO or OWL. OWLTools provides a bio-ontologies friendly wrapper on top of the Manchester OWL API. It provides many features, including: * convenience methods for OBO-like properties such as synonyms, textual definitions, obsoletion, replaced_by * simple graph-like operations over ontologies * visualization using the QuickGO graphs libraries Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | software library, ontology |
is listed by: Gene Ontology Tools is related to: OBO has parent organization: Gene Ontology has parent organization: Google Project Hosting is parent organization of: OwlSim |
Open unspecified license - Free for academic use | nlx_149192 | SCR_005732 | OWL2LS - OWL2 Life Sciences, OWL Tools | 2026-02-14 02:01:10 | 18 | |||||||
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Blip: Biomedical Logic Programming Resource Report Resource Website 1+ mentions |
Blip: Biomedical Logic Programming (RRID:SCR_005733) | Blip, blipkit | software resource | Biomedical Logical Programming (Blip) is a research-oriented deductive database and prolog application library for handling biological and biomedical data. It includes packages for advanced querying of ontologies and annotations. Blip underpins the Obol tool. Here are some distinguishing characteristics of Blip * Lightweight. Bloat-free: Blip only has as many modules as it needs to do its job. * Fast. * Declarative. Say what you want to do, not how you want to do it * Blip can be Query-oriented: specify your data sources and ask your query * Blip can be Application-oriented: it is designed to be used as an application library used by other bioinformatics tools * Mature and fully functional ontology module for handling both OBO-style ontologies and OWL ontologies. * Modules for handling biological sequences and sequence features. (currently limited functionality, added as needed) * A systems biology module for querying pathway and interaction data. (currently limited functionality, added as needed) * Relational database integration. SQL can be viewed as a highly restricted dialect of Prolog. Although the SWI-Prolog in-memory database is fast and scalable, sometimes it is nice to be able to fetch data from an external database. Blip contains a generic SQL utility module and predicate mappings for the GO database, Ensembl and Chado * Integration with a variety of bioinformatics file formats. SWI-Prolog has a variety of fast libraries for dealing with XML, RDF and tabular data files. Blip provides bridges from bio file formats encoded using these syntaxes into its native models. For other syntaxes, Blip seamlessly integrates other packages such as BioPerl and go-perl. Although these dependencies require extra installation, there is no point reinventing the wheel * Rapid development of web applications. Blip extends SWI-Prolog''''s excellent http support with a simple and powerful logical-functional-programming style application server, serval. This has been used to prototype a fully-featured next-generation replacement for the GO project amigo browser. * Scalable. Blip is not intended to be a toy system on toy data (although it is happy to be used as a toy if you like!). It is intended to be used as an application component and a tool operating on real-world biological and biomedical data Blip is written in SWI-Prolog, a fast, robust and scalable implementation of ISO Prolog. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | biology, biomedical, ontology, annotation, software library, bioinformatics, module |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Berkeley Bioinformatics Open-Source Projects |
GNU Lesser General Public License | nlx_149193 | SCR_005733 | Blip - Biomedical Logic Programming, Biomedical Logical Programming (Blip), Biomedical Logic Programming | 2026-02-14 02:00:58 | 2 | |||||||
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DBD - Slim Gene Ontology Resource Report Resource Website |
DBD - Slim Gene Ontology (RRID:SCR_005728) | Slim Gene Ontology | data or information resource, software resource, database, software application | Db for Dummies! is a small database that imports the Generic GO Slim. It allows data to be viewed in a tree. The Gene Ontology describes gene products in terms of their associated biological processes, cellular components and molecular functions. The Generic Slim Gene Ontology is a subset of the whole Gene Ontology. The slim version gives a broad overview and leaves out specific/fine grained terms. This example stores the slim version of the Gene Ontology (goslim_generic_obo) that can be downloaded from www.geneontology.org/GO.slims.shtml. Platform: Windows compatible | gene ontology, gene, hierarchy, visualization, database or data warehouse |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Db for Dummies! |
Free for academic use | nlx_149185 | SCR_005728 | Db for Dummies! - Slim Gene Ontology, Db for Dummies - Slim Gene Ontology | 2026-02-14 02:01:09 | 0 | |||||||
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Onto-Translate Resource Report Resource Website 1+ mentions |
Onto-Translate (RRID:SCR_005725) | Onto-Translate | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | In the annotation world, the same piece of information can be stored and viewed differently across different databases. For instance, more than one Affymetrix probe ID can refer to the same GenBank sequence (accession number) and more than one nucleotide sequence from GenBank can be grouped in a single UniGene cluster. The result of Onto-Express depends on whether the input list contains Affymetrix probe IDs, GenBank accession numbers or UniGene cluster IDs. The user has to be aware of relations between the different forms of the data in order to interpret correctly the results. Even if the user is aware of the relationships and knows how to convert them, most existing tools allow conversions of individual genes. Onto-Translate is a tool that allows the user to perform easily such translations. Affymetrix probe IDs, etc., translate GO terms into other identifiers like GenBank accession number, Uniprot IDs. User account required. Platform: Online tool | annotation, gene, analysis, database or data warehouse, other analysis, affymetrix probe id, affymetrix, probe id, translate go terms into other identifiers like genbank accession number, genbank accession number, uniprot id, gene ontology, translate |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Wayne State University; Michigan; USA |
PMID:15215428 | Free for academic use | nlx_149182 | SCR_005725 | 2026-02-14 02:01:00 | 3 | |||||||
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ToppGene Suite Resource Report Resource Website 1000+ mentions |
ToppGene Suite (RRID:SCR_005726) | data analysis service, portal, analysis service resource, resource, data or information resource, production service resource, service resource, database | ToppGene Suite is a one-stop portal for gene list enrichment analysis and candidate gene prioritization based on functional annotations and protein interactions network. ToppGene Suite is a one-stop portal for (i) gene list functional enrichment, (ii) candidate gene prioritization using either functional annotations or network analysis and (iii) identification and prioritization of novel disease candidate genes in the interactome. Functional annotation-based disease candidate gene prioritization uses a fuzzy-based similarity measure to compute the similarity between any two genes based on semantic annotations. The similarity scores from individual features are combined into an overall score using statistical meta-analysis. | gene portal, enrichment analysis, functional annotation, gene prioritization, protein interaction, bio.tools, FASEB list |
is listed by: Gene Ontology Tools is listed by: NIDDK Information Network (dkNET) is listed by: GUDMAP Ontology is listed by: Debian is listed by: bio.tools is related to: Gene Ontology is related to: ToppCluster |
State of Ohio Computational Medicine Center ODD TECH 04-042; NIDDK 1U01DK70219; NIDDK P30DK078392 |
PMID:19465376 | Free for academic use | nlx_149183, biotools:toppgene_suite | https://bio.tools/toppgene_suite | SCR_005726 | ToppGene | 2026-02-14 02:01:10 | 1030 | |||||
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ClueGO Resource Report Resource Website 1000+ mentions |
ClueGO (RRID:SCR_005748) | ClueGO | software resource | A Cytoscape plug-in that visualizes the non-redundant biological terms for large clusters of genes in a functionally grouped network. It can be used in combination with GOlorize. The identifiers can be uploaded from a text file or interactively from a network of Cytoscape. The type of identifiers supported can be easily extended by the user. ClueGO performs single cluster analysis and comparison of clusters. From the ontology sources used, the terms are selected by different filter criteria. The related terms which share similar associated genes can be combined to reduce redundancy. The ClueGO network is created with kappa statistics and reflects the relationships between the terms based on the similarity of their associated genes. On the network, the node colour can be switched between functional groups and clusters distribution. ClueGO charts are underlying the specificity and the common aspects of the biological role. The significance of the terms and groups is automatically calculated. ClueGO is easy updatable with the newest files from Gene Ontology and KEGG. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | statistical analysis, function, gene ontology, pathway, annotation, network, plugin, gene |
is listed by: Gene Ontology Tools is listed by: SoftCite is related to: Gene Ontology is related to: Cytoscape is related to: KEGG is related to: BioCarta Pathways has parent organization: National Institute of Health and Medical Research; Rennes; France |
National Institute of Health and Medical Research; Rennes; France ; Ville de Paris ; INCa ; Austrian Ministry for Science and Research ; BINII ; European Union 7FP 202230 |
PMID:19237447 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149209 | SCR_005748 | 2026-02-14 02:00:58 | 2943 | ||||||
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CLENCH Resource Report Resource Website 1+ mentions |
CLENCH (RRID:SCR_005735) | CLENCH | software resource, source code, data processing software, software application | Cluster Enrichment (CLENCH) allows A. thaliana researchers to perform automated retrieval of GO annotations from TAIR and calculate enrichment of GO terms in gene group with respect to a reference set. Before calculating enrichment, CLENCH allows mapping of the returned annotations to arbitrary coarse levels using GO slim term lists (which can be edited by the user) and a local installation of GO. Platform: Windows compatible, Linux compatible, | gene, microarray, function, functional categorization, statistical analysis, slimmer-type tool, gene ontology, annotation |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: TAIR has parent organization: Stanford Center for Biomedical Informatics Research |
PMID:14764555 | Free for academic use | nlx_149216 | http://www.personal.psu.edu/nhs109/Clench | SCR_005735 | CLENCH - Cluster Enrichment, CLENCH: A program for calculating cluster enrichment using the Gene Ontology, Cluster Enrichment, Cluster Enrichment (CLENCH) | 2026-02-14 02:01:09 | 4 | |||||
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KOBAS Resource Report Resource Website 1000+ mentions |
KOBAS (RRID:SCR_006350) | KOBAS | data analysis service, analysis service resource, production service resource, service resource, software resource | Web server to identify statistically enriched pathways, diseases, and GO terms for a set of genes or proteins, using pathway, disease, and GO knowledge from multiple famous databases. It allows for both ID mapping and cross-species sequence similarity mapping. It then performs statistical tests to identify statistically significantly enriched pathways and diseases. KOBAS 2.0 incorporates knowledge across 1327 species from 5 pathway databases (KEGG PATHWAY, PID, BioCyc, Reactome and Panther) and 5 human disease databases (OMIM, KEGG DISEASE, FunDO, GAD and NHGRI GWAS Catalog). A standalone command line version is also available, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | ortholog, pathway, disease, gene, protein, annotation, command line, FASEB list |
is listed by: OMICtools is related to: Gene Ontology is related to: KEGG is related to: OMIM is related to: Pathway Interaction Database is related to: BioCarta Pathways is related to: Reactome is related to: BioCyc is related to: PANTHER is related to: FunDO is related to: Genetic Association Database is related to: GWAS: Catalog of Published Genome-Wide Association Studies has parent organization: Peking University; Beijing; China |
PMID:21715386 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_02228 | SCR_006350 | KEGG Orthology Based Annotation System | 2026-02-14 02:01:16 | 4787 | ||||||
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PiNGO Resource Report Resource Website |
PiNGO (RRID:SCR_000692) | PiNGO | software resource | A Java-based tool to easily find unknown genes in a network that are significantly associated with user-defined target Gene Ontology (GO) categories. PiNGO is implemented as a plugin for Cytoscape, a popular open source software platform for visualizing and integrating molecular interaction networks. PiNGO predicts the categorization of a gene based on the annotations of its neighbors, using the enrichment statistics of its sister tool BiNGO. Networks can either be selected from the Cytoscape interface or uploaded from file. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, annotation, network, candidate gene, biological network, ontology or annotation search engine, statistical analysis, term enrichment, functional similarity, functional prediction, search engine, windows, mac os x, linux, unix |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology is related to: Cytoscape has parent organization: Ghent University; Ghent; Belgium |
PMID:21278188 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149330, OMICS_02281 | SCR_000692 | 2026-02-14 01:59:49 | 0 | |||||||
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Semantic Measures Library Resource Report Resource Website |
Semantic Measures Library (RRID:SCR_001383) | SML | software resource, software library, software toolkit | Open source Java library dedicated to semantic measures computation and analysis. Tools based on the SML are also provided through the SML-Toolkit, a command line software giving access to some of the functionalities of the library. The SML and the toolkit can be used to compute semantic similarity and semantic relatedness between semantic elements (e.g. concepts, terms) or entities semantically characterized (e.g. entities defined in a semantic graph, documents annotated by concepts defined in an ontology). | semantic measure, semantic similarity, semantic relatedness, functional similarity, gene ontology, annotation, parse, gene, disease ontology, mesh, rdf, owl, umls, snomed-ct, java, semantic, command line |
is listed by: FORCE11 is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Ecole des Mines d'Ales; Ales; France |
Ecole des Mines d'Ales; Ales; France ; LGI2P Research Center |
PMID:24108186 | Free, Available for download, Freely available | nlx_152555 | http://www.semantic-measures-library.org | SCR_001383 | SML-Toolkit, Semantic Measures Library and ToolKit, Semantic Measures Library & ToolKit | 2026-02-14 02:00:00 | 0 | ||||
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Flash Gviewer Resource Report Resource Website 1+ mentions |
Flash Gviewer (RRID:SCR_012870) | Flash GViewer | software resource | Flash GViewer is a customizable Flash movie that can be easily inserted into a web page to display each chromosome in a genome along with the locations of individual features on the chromosomes. It is intended to provide an overview of the genomic locations of a specific set of features - eg. genes and QTLs associated with a specific phenotype, etc. rather than as a way to view all features on the genome. The features can hyperlink out to a detail page to enable to GViewer to be used as a navigation tool. In addition the bands on the chromosomes can link to defineable URL and new region selection sliders can be used to select a specific chromosome region and then link out to a genome browser for higher resolution information. Genome maps for Rat, Mouse, Human and C. elegans are provided but other genome maps can be easily created. Annotation data can be provided as static text files or produced as XML via server scripts. This tool is not GO-specific, but was built for the purpose of viewing GO annotation data. Platform: Online tool | visualization, chromosome, video, gene, qtl, genome, navitgation, phenotype, ontology or annotation visualization |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Medical College of Wisconsin; Wisconsin; USA |
Free for academic use | nlx_149333 | http://gmod.org/flashgviewer | SCR_012870 | 2026-02-14 02:02:24 | 2 | |||||||
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PlantNATsDB - Plant Natural Antisense Transcripts DataBase Resource Report Resource Website 1+ mentions |
PlantNATsDB - Plant Natural Antisense Transcripts DataBase (RRID:SCR_013278) | PlantNATsDB | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | Natural Antisense Transcripts (NATs), a kind of regulatory RNAs, occur prevalently in plant genomes and play significant roles in physiological and/or pathological processes. PlantNATsDB (Plant Natural Antisense Transcripts DataBase) is a platform for annotating and discovering NATs by integrating various data sources involving approximately 2 million NAT pairs in 69 plant species. PlantNATsDB also provides an integrative, interactive and information-rich web graphical interface to display multidimensional data, and facilitate plant research community and the discovery of functional NATs. GO annotation and high-throughput small RNA sequencing data currently available were integrated to investigate the biological function of NATs. A ''''Gene Set Analysis'''' module based on GO annotation was designed to dig out the statistical significantly overrepresented GO categories from the specific NAT network. PlantNATsDB is currently the most comprehensive resource of NATs in the plant kingdom, which can serve as a reference database to investigate the regulatory function of NATs. | natural antisense transcript, annotation, high-throughput, small rna sequencing, function, regulatory function, predict, sequence, small rna, blast, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology is related to: Gene Expression Omnibus has parent organization: Zhejiang University; Zhejiang; China |
National Natural Sciences Foundation of China 30971743; National Natural Sciences Foundation of China 31050110121; National Natural Sciences Foundation of China 31071659; Ministry of Science and Technology of China 2009DFA32030; Program for New Century Excellent Talents in University of China NCET-07-0740; Huazhong Agricultural University Scientific and Technological Self-innovation Foundation 2010SC07 |
PMID:22058132 | Free | nlx_151492, biotools:plantnatsdb | https://bio.tools/plantnatsdb | SCR_013278 | Plant Natural Antisense Transcripts DataBase | 2026-02-14 02:02:28 | 9 | ||||
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L2L Microarray Analysis Tool Resource Report Resource Website 1+ mentions |
L2L Microarray Analysis Tool (RRID:SCR_013440) | L2L | data repository, data processing software, storage service resource, data analysis service, analysis service resource, data or information resource, production service resource, data analysis software, service resource, software application, software resource, database |
THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 26, 2019. Database of published microarray gene expression data, and a software tool for comparing that published data to a user''''s own microarray results. It is very simple to use - all you need is a web browser and a list of the probes that went up or down in your experiment. If you find L2L useful please consider contributing your published data to the L2L Microarray Database in the form of list files. L2L finds true biological patterns in gene expression data by systematically comparing your own list of genes to lists of genes that have been experimentally determined to be co-expressed in response to a particular stimulus - in other words, published lists of microarray results. The patterns it finds can point to the underlying disease process or affected molecular function that actually generated the observed changed in gene expression. Its insights are far more systematic than critical gene analyses, and more biologically relevant than pure Gene Ontology-based analyses. The publications included in the L2L MDB initially reflected topics thought to be related to Cockayne syndrome: aging, cancer, and DNA damage. Since then, the scope of the publications included has expanded considerably, to include chromatin structure, immune and inflammatory mediators, the hypoxic response, adipogenesis, growth factors, hormones, cell cycle regulators, and others. Despite the parochial origins of the database, the wide range of topics covered will make L2L of general interest to any investigator using microarrays to study human biology. In addition to the L2L Microarray Database, L2L contains three sets of lists derived from Gene Ontology categories: Biological Process, Cellular Component, and Molecular Function. As with the L2L MDB, each GO sub-category is represented by a text file that contains annotation information and a list of the HUGO symbols of the genes assigned to that sub-category or any of its descendants. You don''''t need to download L2L to use it to analyze your microarray data. There is an easy-to-use web-based analysis tool, and you have the option of downloading your results so you can view them at any time on your own computer, using any web browser. However, if you prefer, the entire L2L project, and all of its components, can be downloaded from the download page. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible |
microarray, gene expression, adipogenesis, biological, biological process, cancer, cell cycle regulator, cellular component, chromatin, cockayne syndrome, dna damage, growth factor, hormone, human biology, hypoxic response, immune mediator, inflammatory mediator, molecular function, molecular neuroanatomy resource, adipocyte, development, hypoxia, immune, inflammation, metabolism, mitogen, neuro, rna, vascular, transcription, tissue, splicing, mouse, human, rat, source code, statistical analysis, gene, chromatin structure |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Washington; Seattle; USA |
Cockayne syndrome, DNA damage, Other, Aging, Cancer | Cora May Poncin Foundation ; NIGMS GM41624 |
PMID:16168088 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10463 | http://depts.washington.edu/l2l/about.html | SCR_013440 | L2L Microarray Database, L2L Microarray Analysis Tool: A simple tool for discovering the hidden biological significance in microarray expression data, L2L MDB | 2026-02-14 02:02:52 | 1 | |||
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PiGenome Resource Report Resource Website |
PiGenome (RRID:SCR_013394) | PiGenome | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | Database for ESTs (Expressed Sequence Tags), consensus sequences, bacterial artificial chromosome (BAC) clones, BES (BAC End Sequences). They have generated 69,545 ESTs from 6 full-length cDNA libraries (Porcine Abdominal Fat, Porcine Fat Cell, Porcine Loin Muscle, Liver and Pituitary gland). They have also identified a total of 182 BAC contigs from chromosome 6. It is very valuable resources to study porcine quantitative trait loci (QTL) mapping and genome study. Users can explore genomic alignment of various data types, including expressed sequence tags (ESTs), consensus sequences, singletons, QTL, Marker, UniGene and BAC clones by several options. To estimate the genomic location of sequence dataset, their data aligned BES (BAC End Sequences) instead of genomic sequence because Pig Genome has low-coverage sequencing data. Sus scrofa Genome Database mainly provide comparative map of four species (pig, cattle, dog and mouse) in chromosome 6. | gene expression, genome, sequence, gene, expressed sequence tag, consensus sequence, bac clone, bac end sequence, bac contig, quantitative trait loci, singleton, marker, unigene, chromosome 6, blast, transcript, bacterial artificial chromosome, snp, alignment |
is related to: Gene Ontology has parent organization: National Institute of Animal Science; Gyeonggi-do; South Korea |
National Institute of Animal Science; Gyeonggi-do; Korea ; Korean Rural Development Administration ; Biogreen21 Project 20050301034467 |
PMID:19082661 | nlx_153888 | http://pigenome.nabc.go.kr/ | SCR_013394 | Sus scrofa Genome database, Pig Genome Database, Pigenome database | 2026-02-14 02:02:47 | 0 |
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