Show simple item record

dc.contributor.authorRoubelakis, Maria G.
dc.contributor.authorZotos, Pantelis
dc.contributor.authorPapachristoudis, Georgios
dc.contributor.authorMichalopoulos, Ioannis
dc.contributor.authorPappa, Kalliopi I.
dc.contributor.authorAnagnou, Nicholas P.
dc.contributor.authorKossida, Sophia
dc.date.accessioned2010-03-11T21:28:55Z
dc.date.available2010-03-11T21:28:55Z
dc.date.issued2009-06
dc.identifier.issn1471-2105
dc.identifier.urihttp://hdl.handle.net/1721.1/52529
dc.description.abstractmicroRNAs (miRNAs) are single-stranded RNA molecules of about 20–23 nucleotides length found in a wide variety of organisms. miRNAs regulate gene expression, by interacting with target mRNAs at specific sites in order to induce cleavage of the message or inhibit translation. Predicting or verifying mRNA targets of specific miRNAs is a difficult process of great importance. Results GOmir is a novel stand-alone application consisting of two separate tools: JTarget and TAGGO. JTarget integrates miRNA target prediction and functional analysis by combining the predicted target genes from TargetScan, miRanda, RNAhybrid and PicTar computational tools as well as the experimentally supported targets from TarBase and also providing a full gene description and functional analysis for each target gene. On the other hand, TAGGO application is designed to automatically group gene ontology annotations, taking advantage of the Gene Ontology (GO), in order to extract the main attributes of sets of proteins. GOmir represents a new tool incorporating two separate Java applications integrated into one stand-alone Java application. Conclusion GOmir (by using up to five different databases) introduces miRNA predicted targets accompanied by (a) full gene description, (b) functional analysis and (c) detailed gene ontology clustering. Additionally, a reverse search initiated by a potential target can also be conducted. GOmir can freely be downloaded BRFAA.en
dc.language.isoen_US
dc.publisherBioMed Central Ltd.en
dc.relation.isversionofhttp://dx.doi.org/10.1186/1471-2105-10-s6-s20en
dc.rightsCreative Commons Attributionen
dc.rights.urihttp://creativecommons.org/licenses/by/2.0/en
dc.sourceBioMed Centralen
dc.titleHuman microRNA target analysis and gene ontology clustering by GOmir, a novel stand-alone applicationen
dc.typeArticleen
dc.identifier.citationRoubelakis, Maria et al. “Human microRNA target analysis and gene ontology clustering by GOmir, a novel stand-alone application.” BMC Bioinformatics 10.Suppl 6 (2009): S20.en
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.approverPapachristoudis, Georgios
dc.contributor.mitauthorPapachristoudis, Georgios
dc.relation.journalBMC Bioinformaticsen
dc.eprint.versionFinal published versionen
dc.identifier.pmid19534746
dc.type.urihttp://purl.org/eprint/type/JournalArticleen
eprint.statushttp://purl.org/eprint/status/PeerRevieweden
dspace.orderedauthorsRoubelakis, Maria G; Zotos, Pantelis; Papachristoudis, Georgios; Michalopoulos, Ioannis; Pappa, Kalliopi I; Anagnou, Nicholas P; Kossida, Sophiaen
mit.licensePUBLISHER_CCen
mit.metadata.statusComplete


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record