MED: a new non-supervised gene prediction algorithm for bacterial and archaeal genomes

  title={MED: a new non-supervised gene prediction algorithm for bacterial and archaeal genomes},
  author={Huaiqiu Zhu and Gang-Qing Hu and Yi-Fan Yang and Zhongjing Wang and Zhen-Su She},
  journal={BMC Bioinformatics},
  pages={97 - 97}
Despite a remarkable success in the computational prediction of genes in Bacteria and Archaea, a lack of comprehensive understanding of prokaryotic gene structures prevents from further elucidation of differences among genomes. It continues to be interesting to develop new ab initio algorithms which not only accurately predict genes, but also facilitate comparative studies of prokaryotic genomes. This paper describes a new prokaryotic genefinding algorithm based on a comprehensive statistical… CONTINUE READING


Publications citing this paper.
Showing 1-10 of 26 extracted citations

Eco-friendly Computing and Communication Systems

Jimson Mathew Priyadarsan Patra, Dhiraj K. Pradhan A. J. Kuttyamma
Communications in Computer and Information Science • 2012
View 6 Excerpts
Highly Influenced

Distinguishing Coding from Non-coding Sequences in a Prokaryote Complete Genome Based on the Global Descriptor

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery • 2009
View 4 Excerpts
Highly Influenced

An integrated algorithm for local sequence alignment

Network Modeling Analysis in Health Informatics and Bioinformatics • 2014
View 1 Excerpt


Publications referenced by this paper.
Showing 1-10 of 30 references

Evolution of translational initiation: new insights from the archaea.

FEMS microbiology reviews • 2005
View 19 Excerpts
Highly Influenced

EcoGene: a genome sequence database for Escherichia coli K-12

Nucleic Acids Research • 2000
View 6 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…