Taylor and Francis Group, Bioscience, Biotechnology and Biochemistry, 9(82), p. 1515-1517, 2018
DOI: 10.1080/09168451.2018.1476122
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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.