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2010-01-01Buch DOI: 10.18452/2490
Analysis of Affymetrix Exon Arrays
dc.contributor.authorZimmermann, Karin
dc.contributor.authorLeser, Ulf
dc.date.accessioned2017-06-15T17:15:38Z
dc.date.available2017-06-15T17:15:38Z
dc.date.created2011-04-29
dc.date.issued2010-01-01
dc.identifier.issn0863-095X
dc.identifier.urihttp://edoc.hu-berlin.de/18452/3142
dc.description.abstractExon arrays enable the monitoring of expression on a more fine-grained level than conventional 3’ arrays. By targeting single exons alternative splicing events can be detected. However, the increased amount of data resulting from the denser coverage of the transcribed regions gives rise to new challenges in data analysis compared to 3’ arrays. One must carefully decide which probes are considered for the final analysis to avoid measurements that are not reflecting biological reality. The most outstanding difference between gene level and exon level analysis emerges in the detection of differential expression. To decide whether an exon is differentially expressed between two conditions it must be set in relation to its corresponding gene. Therefore, completely new algorithms need to be applied. This work gives an overview on the analysis of Affymetrix exon arrays. Technical Design, Preprocessing and the detection of alternative splicing are dicussed and finally, a complete workflow is proposed.eng
dc.language.isoeng
dc.publisherHumboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, Institut für Informatik
dc.subject.ddc004 Informatik
dc.titleAnalysis of Affymetrix Exon Arrays
dc.typebook
dc.identifier.urnurn:nbn:de:kobv:11-100186222
dc.identifier.doihttp://dx.doi.org/10.18452/2490
local.edoc.container-titleInformatik-Berichte
local.edoc.pages29
local.edoc.type-nameBuch
local.edoc.container-typeseries
local.edoc.container-type-nameSchriftenreihe
local.edoc.container-volume2010
local.edoc.container-issue235
local.edoc.container-year2010
local.edoc.container-erstkatid2942054-4

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