Diel gene expression improves software prediction of cyanobacterial operons

PeerJ

article

Philip Heller¹ 

[1] Department of Computer Science, San Jose State University

关键词: Cyanobacteria;    Diel;    Operon;    Crocosphaera;   

DOI  :  10.7717/peerj.13259

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

Cyanobacteria are important participants in global biogeochemical process, but their metabolic processes and genomic functions are incompletely understood. In particular, operon structure, which can provide valuable metabolic and genomic insight, is difficult to determine experimentally, and algorithmic operon predictions probably underestimate actual operon extent. A software method is presented for enhancing current operon predictions by incorporating information from whole-genome time-series expression studies, using a Machine Learning classifier. Results are presented for the marine cyanobacterium Crocosphaera watsonii. A total of 15 operon enhancements are proposed. The source code is publicly available.

【 授权许可】

CC BY