Gene prediction and classification on the microbial metagenomes including fungal species

2011 Fiscal Year Final Research Report

• Project/Area Number: 22710203
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Single-year Grants
• Research Field: Applied genomics
• Research Institution: Tokyo Institute of Technology
• Principal Investigator: NOGUCHI Hideki 東京工業大学, 大学院・生命理工学研究科, 特任准教授 (50333349)
• Project Period (FY): 2010 – 2011
• Keywords: メタゲノム / 生物情報科学 / 遺伝子予測

Research Abstract

In this study, I' ve constructed a gene-finding tool for metagenomic sequence data comprising various eukaryotic genomes. Nucleotide compositions in the protein-coding regions are different among species, although they are key information on protein coding. I indicated in this study that species-specific nucleotide compositions could be estimated by GC contents of the genome fragments and are effective enough to predict genes with high accuracies even in the eukaryotic genomes