MAPLE 2.3.0: an improved system for evaluating the functionomes of genomes and metagenomes

Wataru Arai; Takeaki Taniguchi; Susumu Goto; Yuki Moriya; Hideya Uehara; Kazuhiro Takemoto; Hiroyuki Ogata; Hideto Takami

doi:10.1080/09168451.2018.1476122

MAPLE 2.3.0: an improved system for evaluating the functionomes of genomes and metagenomes

Biosci Biotechnol Biochem. 2018 Sep;82(9):1515-1517. doi: 10.1080/09168451.2018.1476122. Epub 2018 May 24.

Authors

Wataru Arai¹, Takeaki Taniguchi², Susumu Goto³, Yuki Moriya³, Hideya Uehara⁴, Kazuhiro Takemoto⁵, Hiroyuki Ogata⁶, Hideto Takami¹

Affiliations

¹ a Microbial Genome Research Group , Yokohama Institute, JAMSTEC , Yokohama , Japan.
² b Healthcare and Wellness Division , Mitsubishi Research Institute , Tokyo , Japan.
³ c Database Center for Life Science , Research Organization of Information and Systems , Kashiwa , Japan.
⁴ d HPE-SGI Business Unit , Hewlett-Packard Japan, Ltd , Tokyo , Japan.
⁵ e Department of Bioscience and Bioinformatics , Kyushu Institute of Technology , Fukuoka , Japan.
⁶ f Bioinformatics Center, Institute for Chemical Research , Kyoto University , Uji , Japan.

PMID: 29792119
DOI: 10.1080/09168451.2018.1476122

Abstract

MAPLE is an automated system for inferring the potential comprehensive functions harbored by genomes and metagenomes. To reduce runtime in MAPLE analyzing the massive amino acid datasets of over 1 million sequences, we improved it by adapting the KEGG automatic annotation server to use GHOSTX and verified no substantial difference in the MAPLE results between the original and new implementations.

Keywords: MAPLE 2.3.0; genomics; metabolic function; metagenomics.

MeSH terms

Amino Acids / chemistry
Automation
Computational Biology
Databases, Protein
Datasets as Topic
Genome*
Metagenome*
Software

Substances

Amino Acids