EDGE-pro: Estimated Degree of Gene Expression in Prokaryotic Genomes | Zendy

Tanja Magoč | Zendy; Derrick E. Wood | Zendy; Steven L. Salzberg | Zendy

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EDGE-pro: Estimated Degree of Gene Expression in Prokaryotic Genomes

Author(s) -

Tanja Magoč,

Derrick E. Wood,

Steven L. Salzberg

Publication year - 2013

Publication title -

evolutionary bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.502

H-Index - 32

ISSN - 1176-9343

DOI - 10.4137/ebo.s11250

Subject(s) - genome , genomics , computational biology , bacterial genome size , gene , dna microarray , biology , gene expression , pipeline (software) , perl , gene prediction , genetics , data mining , computer science , world wide web , programming language

The expression levels of bacterial genes can be measured directly using next-generation sequencing (NGS) methods, offering much greater sensitivity and accuracy than earlier, microarray-based methods. Most bioinformatics software for estimating levels of gene expression from NGS data has been designed for eukaryotic genomes, with algorithms focusing particularly on detection of splicing patterns. These methods do not perform well on bacterial genomes.

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