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

201857 citationsJournal Articlehybrid Open Access

Authors

Wataru Arai · Japan Agency for Marine-Earth Science and Technology

Takeaki Taniguchi · Mitsubishi Research Institute (Japan)

Susumu Goto · Research Organization of Information and Systems

Yuki Moriya · Research Organization of Information and Systems

Hideya Uehara · Hewlett-Packard (Japan)

Kazuhiro Takemoto · Kyushu Institute of Technology

Hiroyuki Ogata

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.

Topics & Keywords

Genomics and Phylogenetic Studies Microbial Community Ecology and Physiology Machine Learning in Bioinformatics

Publication Details

Published in: Bioscience Biotechnology and Biochemistry

Volume 82, Issue 9, pp. 1515-1517

DOI: 10.1080/09168451.2018.1476122

Field-Weighted Citation Impact: 3.54

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

Authors

Abstract

Topics & Keywords

Publication Details