Gene and translation initiation site prediction in metagenomic sequences | Zendy

Doug Hyatt | Zendy; Philip LoCascio | Zendy; Loren Hauser | Zendy; Edward C. Uberbacher | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Gene and translation initiation site prediction in metagenomic sequences

Author(s) -

Doug Hyatt,

Philip LoCascio,

Loren Hauser,

Edward C. Uberbacher

Publication year - 2012

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bts429

Subject(s) - metagenomics , gene prediction , computer science , source code , software , genome , identification (biology) , data mining , computational biology , dna sequencing , gene , coding (social sciences) , biology , genetics , statistics , mathematics , programming language , botany

Gene prediction in metagenomic sequences remains a difficult problem. Current sequencing technologies do not achieve sufficient coverage to assemble the individual genomes in a typical sample; consequently, sequencing runs produce a large number of short sequences whose exact origin is unknown. Since these sequences are usually smaller than the average length of a gene, algorithms must make predictions based on very little data.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research