Unit

UNIT 4.5 Gene Identification in Prokaryotic Genomes, Phages, Metagenomes, and EST Sequences with GeneMarkS Suite

  1. Mark Borodovsky,
  2. Alex Lomsadze

Published Online: 1 SEP 2011

DOI: 10.1002/0471250953.bi0405s35

Current Protocols in Bioinformatics

Current Protocols in Bioinformatics

How to Cite

Borodovsky, M. and Lomsadze, A. 2011. Gene Identification in Prokaryotic Genomes, Phages, Metagenomes, and EST Sequences with GeneMarkS Suite. Current Protocols in Bioinformatics. 35:4.5:4.5.1–4.5.17.

Author Information

  1. Georgia Institute of Technology, Atlanta, Georgia

Publication History

  1. Published Online: 1 SEP 2011
  2. Published Print: SEP 2011

Abstract

This unit describes how to use several gene-finding programs from the GeneMark line developed for finding protein-coding ORFs in genomic DNA of prokaryotic species, in genomic DNA of eukaryotic species with intronless genes, in genomes of viruses and phages, and in prokaryotic metagenomic sequences, as well as in EST sequences with spliced-out introns. These bioinformatics tools were demonstrated to have state-of-the-art accuracy and have been frequently used for gene annotation in novel nucleotide sequences. An additional advantage of these sequence-analysis tools is that the problem of algorithm parameterization is solved automatically, with parameters estimated by iterative self-training (unsupervised training). Curr. Protoc. Bioinform. 35:4.5.1-4.5.17. © 2011 by John Wiley & Sons, Inc.

Keywords:

  • gene finding;
  • hidden Markov model;
  • unsupervised parameter estimation