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

Author:

Arai Wataru1,Taniguchi Takeaki2,Goto Susumu3,Moriya Yuki3,Uehara Hideya4,Takemoto Kazuhiro5,Ogata Hiroyuki6,Takami Hideto1

Affiliation:

1. Microbial Genome Research Group, Yokohama Institute, JAMSTEC, Yokohama, Japan

2. Healthcare and Wellness Division, Mitsubishi Research Institute, Tokyo, Japan

3. Database Center for Life Science, Research Organization of Information and Systems, Kashiwa, Japan

4. HPE-SGI Business Unit, Hewlett-Packard Japan, Ltd, Tokyo, Japan

5. Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, Fukuoka, Japan

6. Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Japan

Abstract

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.

Funder

Japan Society for the Promotion of Science

Kyoto University

Publisher

Oxford University Press (OUP)

Subject

Organic Chemistry,Molecular Biology,Applied Microbiology and Biotechnology,General Medicine,Biochemistry,Analytical Chemistry,Biotechnology

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