Please use this identifier to cite or link to this item: 192.168.6.56/handle/123456789/105447
Full metadata record
DC FieldValueLanguage
dc.contributor.authorYanchun Bao, Veronica Vinciotti, Ernst Wit and Peter AC ’t Hoen-
dc.date.accessioned2020-02-11T08:00:26Z-
dc.date.accessioned2020-05-15T23:01:09Z-
dc.date.available2020-02-11T08:00:26Z-
dc.date.available2020-05-15T23:01:09Z-
dc.date.issued2013-
dc.identifier.urihttp://196.189.45.87:8080/handle/123456789/105447-
dc.descriptionImmunoPrecipitation (IP) efficiencies may vary largely between different antibodies and between repeated experiments with the same antibody. These differences have a large impact on the quality of ChIP-seq data: a more efficient experiment will necessarily lead to a higher signal to background ratio, and therefore to an apparent larger number of enriched regions, compared to a less efficient experiment. In this paper, we show how IP efficiencies can be explicitly accounted for in the joint statistical modelling of ChIP-seq data.en_US
dc.languageEnglishen_US
dc.language.isoenen_US
dc.subjectAccounting for immunoprecipitationen_US
dc.titleAccounting for immunoprecipitationefficiencies in the statistical analysis ofChIP-seq dataen_US
dc.typeArticleen_US
Appears in Collections:Accounting and Finance

Files in This Item:
File Description SizeFormat 
186.pdf580.27 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.