Publication:
AGenDA: homology-based gene prediction

dc.bibliographiccitation.firstpage1575
dc.bibliographiccitation.issue12
dc.bibliographiccitation.journalBioinformatics
dc.bibliographiccitation.lastpage1577
dc.bibliographiccitation.volume19
dc.contributor.authorTaher, L.
dc.contributor.authorRinner, O.
dc.contributor.authorGarg, S.
dc.contributor.authorSczyrba, A.
dc.contributor.authorBrudno, M.
dc.contributor.authorBatzoglou, S.
dc.contributor.authorMorgenstern, Burkhard
dc.date.accessioned2018-11-07T10:36:59Z
dc.date.available2018-11-07T10:36:59Z
dc.date.issued2003
dc.description.abstractWe present a www server for homology-based gene prediction. The user enters a pair of evolutionary related genomic sequences, for example from human and mouse. Our software system uses CHAOS and DIALIGN to calculate an alignment of the input sequences and then searches for conserved splicing signals and start/stop codons around regions of local sequence similarity. This way, candidate exons are identified that are used, in turn, to calculate optimal gene models. The server returns the constructed gene model by email, together with a graphical representation of the underlying genomic alignment.
dc.identifier.doi10.1093/bioinformatics/btg181
dc.identifier.isi000184878700017
dc.identifier.pmid12912840
dc.identifier.urihttps://resolver.sub.uni-goettingen.de/purl?gro-2/45453
dc.notes.statuszu prüfen
dc.notes.submitterNajko
dc.publisherOxford Univ Press
dc.relation.issn1460-2059
dc.relation.issn1367-4803
dc.titleAGenDA: homology-based gene prediction
dc.typejournal_article
dc.type.internalPublicationyes
dc.type.peerReviewedyes
dc.type.statuspublished
dspace.entity.typePublication

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