| Literature DB >> 29792119 |
Wataru Arai1, Takeaki Taniguchi2, Susumu Goto3, Yuki Moriya3, Hideya Uehara4, Kazuhiro Takemoto5, Hiroyuki Ogata6, Hideto Takami1.
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.Entities:
Keywords: MAPLE 2.3.0; genomics; metabolic function; metagenomics
Mesh:
Substances:
Year: 2018 PMID: 29792119 DOI: 10.1080/09168451.2018.1476122
Source DB: PubMed Journal: Biosci Biotechnol Biochem ISSN: 0916-8451 Impact factor: 2.043