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- Title
Promoter prediction analysis on the whole human genome.
- Authors
Bajic, Vladimir B; Tan, Sin Lam; Suzuki, Yutaka; Sugano, Sumio
- Abstract
Promoter prediction programs (PPPs) are important for in silico gene discovery without support from expressed sequence tag (EST)/cDNA/mRNA sequences, in the analysis of gene regulation and in genome annotation. Contrary to previous expectations, a comprehensive analysis of PPPs reveals that no program simultaneously achieves sensitivity and a positive predictive value >65%. PPP performances deduced from a limited number of chromosomes or smaller data sets do not hold when evaluated at the level of the whole genome, with serious inaccuracy of predictions for non-CpG-island-related promoters. Some PPPs even perform worse than, or close to, pure random guessing.
- Publication
Nature biotechnology, 2004, Vol 22, Issue 11, p1467
- ISSN
1087-0156
- Publication type
Journal Article
- DOI
10.1038/nbt1032