|Home||Papers||Reports||Projects||Code Fragments||Dissertations||Presentations||Posters||Proposals||Lectures given||Course notes|
Methods for analyzing deep sequencing expression data: constructing the human and mouse promoterome with deepCAGE data.
Piotr J. Balwierz1,2
Abstract : With the advent of ultra high-throughput sequencing technologies, increasingly researchers are turning to deep sequencing for gene expression studies. Here we present a set of rigorous methods for normalization, quantification of noise, and co-expression analysis of deep sequencing data. Using these methods on 122 cap analysis of gene expression (CAGE) samples of transcription start sites, we construct genome-wide 'promoteromes' in human and mouse consisting of a three-tiered hierarchy of transcription start sites, transcription start clusters, and transcription start regions.
deep sequencinging promotoreome sequencing by synthesis analytical methods