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dc.contributor.authorGogol-Döring, Andreas
dc.contributor.authorChen, Wei
dc.contributor.editorSchomburg, Dietmar
dc.contributor.editorGrote, Andreas
dc.date.accessioned2019-01-17T10:57:29Z
dc.date.available2019-01-17T10:57:29Z
dc.date.issued2010
dc.identifier.isbn978-3-88579-267-3
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/19666
dc.description.abstractThe main challenge when analyzing ChIP-Seq data is the identification of DNA-protein binding sites by finding genomic regions that are enriched with sequencing reads. We present a new tool called qips especially suited for processing ChIP-Seq data containing broader enriched regions. Our tool certainly finds all enriched regions that are not exceeded by higher significant alternatives.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofGerman Conference on Bioinformatics 2010
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-173
dc.titleFinding optimal sets of enriched regions in chip-seq dataen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages113-121
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationBraunschweig
mci.conference.dateSeptember 20-22, 2010


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