Journal
BRIEFINGS IN BIOINFORMATICS
Volume 10, Issue 5, Pages 498-508Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bib/bbp027
Keywords
human promoter recognition; genome annotation; feature extraction; model selection
Funding
- Hong Kong Research Grant Council [123408]
- City University of Hong Kong [9610034]
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This review describes important advances that have been made during the past decade for genome-wide human promoter recognition. Interest in promoter recognition algorithms on a genome-wide scale is worldwide and touches on a number of practical systems that are important in analysis of gene regulation and in genome annotation without experimental support of ESTs, cDNAs or mRNAs. The main focus of this review is on feature extraction and model selection for accurate human promoter recognition, with descriptions of what they are, what has been accomplished, and what remains to be done.
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