期刊
GENOME BIOLOGY
卷 10, 期 7, 页码 -出版社
BMC
DOI: 10.1186/gb-2009-10-7-r79
关键词
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资金
- Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT)
- Swiss National Science Foundation [SNF 3100A0-118318]
- FP6 Alternative Splicing Network of Excellence (EURASNET) Young Investigator Award
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.
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