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|Title:||A signal-noise model for significance analysis of ChIP-seq with negative control|
|Citation:||Xu, H., Handoko, L., Wei, X., Ye, C., Sheng, J., Wei, C.-L., Lin, F., Sung, W.-K. (2010). A signal-noise model for significance analysis of ChIP-seq with negative control. Bioinformatics 26 (9) : 1199-1204. ScholarBank@NUS Repository. https://doi.org/10.1093/bioinformatics/btq128|
|Abstract:||Motivation: ChIP-seq is becoming the main approach to the genome-wide study of protein-DNA interactions and histone modifications. Existing informatics tools perform well to extract strong ChIP-enriched sites. However, two questions remain to be answered: (i) to which extent is a ChIP-seq experiment able to reveal the weak ChIP-enriched sites? (ii) are the weak sites biologically meaningful? To answer these questions, it is necessary to identify the weak ChIP signals from background noise. Results: We propose a linear signal-noise model, in which a noise rate was introduced to represent the fraction of noise in a ChIP library. We developed an iterative algorithm to estimate the noise rate using a control library, and derived a library-swapping strategy for the false discovery rate estimation. These approaches were integrated in a general-purpose framework, named CCAT (Control-based ChIP-seq Analysis Tool), for the significance analysis of ChIP-seq. Applications to H3K4me3 and H3K36me3 datasets showed that CCAT predicted significantly more ChIP-enriched sites that the previous methods did. With the high sensitivity of CCAT prediction, we revealed distinct chromatin features associated to the strong and weak H3K4me3 sites. Availability: http://cmb.gis.a-star.edu.sg/ChIPSeq/tools.htm. Contact: firstname.lastname@example.org; email@example.com. Supplementary Information:Supplementary data are available at Bioinformatics online. © The Author 2010. Published by Oxford University Press. All rights reserved. For Permissions, please email: firstname.lastname@example.org.|
|Appears in Collections:||Staff Publications|
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