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Analyzing microarray data using CLANS

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dc.contributor.authorFrickey, Tancred
dc.contributor.authorWeiller, Georg
dc.date.accessioned2015-12-07T22:14:02Z
dc.date.issued2007
dc.date.updated2015-12-07T07:22:55Z
dc.description.abstractSummary: Analysis of microarray experiments is complicated by the huge amount of data involved. Searching for groups of co-expressed genes is akin to searching for protein families in a database as, in both cases, small subsets of genes with similar features are to be found within vast quantities of data. CLANS was originally developed to find protein families in large sets of amino acid sequences where the amount of data involved made phylogenetic approaches overly cumbersome. We present a number of improvements that greatly extend the previous version of CLANS and show its application to microarray data as well as its ability of incorporating additional information to facilitate interactive analysis.
dc.identifier.issn1367-4803
dc.identifier.urihttp://hdl.handle.net/1885/17258
dc.publisherOxford University Press
dc.sourceBioinformatics
dc.subjectKeywords: amino acid sequence; article; automation; cluster analysis; gene expression; genetic database; microarray analysis; nonhuman; phylogeny; priority journal; protein family; quantitative analysis; sequence homology; algorithm; computer graphics; computer int
dc.titleAnalyzing microarray data using CLANS
dc.typeJournal article
local.bibliographicCitation.issue9
local.bibliographicCitation.lastpage1171
local.bibliographicCitation.startpage1170
local.contributor.affiliationFrickey, Tancred, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationWeiller, Georg, College of Medicine, Biology and Environment, ANU
local.contributor.authoruidFrickey, Tancred, u4285348
local.contributor.authoruidWeiller, Georg, u9009731
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor060407 - Genome Structure and Regulation
local.identifier.ariespublicationu4285348xPUB1
local.identifier.citationvolume23
local.identifier.doi10.1093/bioinformatics/btm079
local.identifier.scopusID2-s2.0-34249845299
local.type.statusPublished Version

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