Recognition of genes in DNA sequence with ambiguities
Authors:
Mark Borodovsky and James McIninch
Affiliation:
a School of Biology, Georgia Institute of Technology, Atlanta, GA 30332-0230, USA
b Institute of Molecular Genetics, Moscow, Russia
Abstract:
The search for genes in a newly sequenced DNA is a well known problem. Among other factors, the gene-searching process is hampered by a number of ambiguities which may remain unresolved experimentally for a long time. A computer method that is able to predict genes in a DNA sequence containing ambiguities has been developed, based on the non-homogeneous Markov chain technique. The reliability of the method has been tested using a set of sequences generated by a Monte-Carlo procedure and a set of 425 E. coli sequences with ambiguities introduced artificially.