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dc.contributor.authorCaffrey, Daniel R
dc.contributor.authorDana, Paul H
dc.contributor.authorMathur, Vidhya
dc.contributor.authorOcano, Marco
dc.contributor.authorHong, Eun-Jong
dc.contributor.authorWang, Yaoyu E
dc.contributor.authorSomaroo, Shyamal
dc.contributor.authorCaffrey, Brian E
dc.contributor.authorPotluri, Shobha
dc.contributor.authorHuang, Enoch S
dc.date.accessioned2010-10-06T20:07:56Z
dc.date.available2010-10-06T20:07:56Z
dc.date.issued2007-10
dc.date.submitted2007-08
dc.identifier.issn1471-2105
dc.identifier.urihttp://hdl.handle.net/1721.1/58921
dc.description.abstractBackground: By virtue of their shared ancestry, homologous sequences are similar in their structure and function. Consequently, multiple sequence alignments are routinely used to identify trends that relate to function. This type of analysis is particularly productive when it is combined with structural and phylogenetic analysis. Results: Here we describe the release of PFAAT version 2.0, a tool for editing, analyzing, and annotating multiple sequence alignments. Support for multiple annotations is a key component of this release as it provides a framework for most of the new functionalities. The sequence annotations are accessible from the alignment and tree, where they are typically used to label sequences or hyperlink them to related databases. Sequence annotations can be created manually or extracted automatically from UniProt entries. Once a multiple sequence alignment is populated with sequence annotations, sequences can be easily selected and sorted through a sophisticated search dialog. The selected sequences can be further analyzed using statistical methods that explicitly model relationships between the sequence annotations and residue properties. Residue annotations are accessible from the alignment viewer and are typically used to designate binding sites or properties for a particular residue. Residue annotations are also searchable, and allow one to quickly select alignment columns for further sequence analysis, e.g. computing percent identities. Other features include: novel algorithms to compute sequence conservation, mapping conservation scores to a 3D structure in Jmol, displaying secondary structure elements, and sorting sequences by residue composition. Conclusion: PFAAT provides a framework whereby end-users can specify knowledge for a protein family in the form of annotation. The annotations can be combined with sophisticated analysis to test hypothesis that relate to sequence, structure and function.en_US
dc.publisherBioMed Central Ltden_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/1471-2105-8-381en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.0en_US
dc.sourceBioMed Central Ltden_US
dc.titlePFAAT version 2.0 : A tool for editing, annotating, and analyzing multiple sequence alignmentsen_US
dc.typeArticleen_US
dc.identifier.citationBMC Bioinformatics. 2007 Oct 11;8(1):381en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorHong, Eun-Jong
dc.relation.journalBMC bioinformaticsen_US
dc.eprint.versionFinal published versionen_US
dc.identifier.pmid17931421
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2010-09-03T16:14:26Z
dc.language.rfc3066en
dc.rights.holderCaffrey et al.; licensee BioMed Central Ltd.
dspace.orderedauthorsCaffrey, Daniel R; Dana, Paul H; Mathur, Vidhya; Ocano, Marco; Hong, Eun-Jong; Wang, Yaoyu E; Somaroo, Shyamal; Caffrey, Brian E; Potluri, Shobha; Huang, Enoch Sen
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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