Published online 1 September 2005
Methods Online |
Scoring schemes of palindrome clusters for more sensitive prediction of replication origins in herpesviruses
1Department of Mathematics, National University of Singapore Singapore 2Department of Statistics and Applied Probability, National University of Singapore Singapore 3Bioinformatics Program, University of Texas at El Paso El Paso, Texas 79968, USA 4Department of Mathematical Sciences, University of Texas at El Paso El Paso, Texas 79968, USA
*To whom correspondence should be addressed. Tel: +65 6847 1653; Fax: +65 6779 5452; Email: matchewd{at}nus.edu.sg
Received May 30, 2005. Revised June 27, 2005. Accepted August 15, 2005.
Many empirical studies show that there are unusual clusters of palindromes, closely spaced direct and inverted repeats around the replication origins of herpesviruses. In this paper, we introduce two new scoring schemes to quantify the spatial abundance of palindromes in a genomic sequence. Based on these scoring schemes, a computational method to predict the locations of replication origins is developed. When our predictions are compared with 39 known or annotated replication origins in 19 herpesviruses, close to 80% of the replication origins are located within 2% of the genome length. A list of predicted locations of replication origins in all the known herpesviruses with complete genome sequences is reported.
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