Stitching gene fragments with a network matching algorithm improves gene assembly for metagenomics | Zendy

YuWei Wu | Zendy; Mina Rho | Zendy; Thomas G. Doak | Zendy; Yuzhen Ye | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Stitching gene fragments with a network matching algorithm improves gene assembly for metagenomics

Author(s) -

YuWei Wu,

Mina Rho,

Thomas G. Doak,

Yuzhen Ye

Publication year - 2012

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bts388

Subject(s) - image stitching , metagenomics , matching (statistics) , computer science , algorithm , computational biology , gene , data mining , artificial intelligence , biology , genetics , mathematics , statistics

One of the difficulties in metagenomic assembly is that homologous genes from evolutionarily closely related species may behave like repeats and confuse assemblers. As a result, small contigs, each representing a short gene fragment, instead of complete genes, may be reported by an assembler. This further complicates annotation of metagenomic datasets, as annotation tools (such as gene predictors or similarity search tools) typically perform poorly on configs encoding short gene fragments.

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