Recognition of genes in DNA sequence with ambiguities.
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.
Borodovsky
M
M
School of Biology, Georgia Institute of Technology, Atlanta 30332-0230.
McIninch
J
J
D004247:DNA / Q000235:genetics*; D004269:DNA, Bacterial / Q000235:genetics; D016208:Databases, Factual; D004926:Escherichia coli / Q000235:genetics; D005069:Evaluation Studies as Topic; D005796:Genes; D005798:Genes, Bacterial; D008390:Markov Chains; D008433:Mathematics; D008957:Models, Genetic; D017422:Sequence Analysis, DNA / Q000379:methods* / Q000706:statistics & numerical data
D004269:DNA, Bacterial; D004247:DNA