Please use this identifier to cite or link to this item:
192.168.6.56/handle/123456789/105447
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yanchun Bao, Veronica Vinciotti, Ernst Wit and Peter AC ’t Hoen | - |
dc.date.accessioned | 2020-02-11T08:00:26Z | - |
dc.date.accessioned | 2020-05-15T23:01:09Z | - |
dc.date.available | 2020-02-11T08:00:26Z | - |
dc.date.available | 2020-05-15T23:01:09Z | - |
dc.date.issued | 2013 | - |
dc.identifier.uri | http://196.189.45.87:8080/handle/123456789/105447 | - |
dc.description | ImmunoPrecipitation (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.language | English | en_US |
dc.language.iso | en | en_US |
dc.subject | Accounting for immunoprecipitation | en_US |
dc.title | Accounting for immunoprecipitationefficiencies in the statistical analysis ofChIP-seq data | en_US |
dc.type | Article | en_US |
Appears in Collections: | Accounting and Finance |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.