The Statistical Significance of Nucleotide Position-weight
Matrix Matches.
J.-M. Claverie, S. Audic
Structural and Genetic Information Laboratory, CNRS-E.P. 91,
Institute of Structural Biology and Microbiology,
Marseille, France. jmc@igs.cnrs-mrs.fr
Computer Applications in Biosciences
12(5), 431-439 (Oct 1996)
Abstract
MOTIVATION: To improve the detection of nucleotide sequence
signals (e.g. promoter elements) by position-weight matrices
(PWM) using the concept of statistically significant matches. RESULTS:
The Mksite program was originally developed for analyzing
protein sequences. We report NMksite, a new version adapted
to the processing of nucleotide sequences. NMksite creates
PWM from nucleotide sequence block alignments or occurrence
tables using three weight computation schemes. An original
feature of NMksite is the numerical computation of the
statistical significance of PWM matches. The utility of
this concept is demonstrated in the context of the prediction
of splice sites and promoter regions.
