Finding optimal sets of enriched regions in chip-seq data
| dc.contributor.author | Gogol-Döring, Andreas | |
| dc.contributor.author | Chen, Wei | |
| dc.contributor.editor | Schomburg, Dietmar | |
| dc.contributor.editor | Grote, Andreas | |
| dc.date.accessioned | 2019-01-17T10:57:29Z | |
| dc.date.available | 2019-01-17T10:57:29Z | |
| dc.date.issued | 2010 | |
| dc.description.abstract | The 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.identifier.isbn | 978-3-88579-267-3 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/19666 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | German Conference on Bioinformatics 2010 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-173 | |
| dc.title | Finding optimal sets of enriched regions in chip-seq data | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 121 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 113 | |
| gi.conference.date | September 20-22, 2010 | |
| gi.conference.location | Braunschweig | |
| gi.conference.sessiontitle | Regular Research Papers |
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