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BioMGCore: A toolkit for detection of biological metabolites in microbiome
Guang Yang1, Guohao Yu1, Qian Cui1
1Jiangsu Key Laboratory of Marine Bioresources and Environment, School of Ocean Food and Biological Engineering, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Key Laboratory of Marine Biotechnology, Jiangsu Marine Resources Development Research Institute Jiangsu Ocean University Lianyungang China.
Abstract:
The keyword matching and gene proximity principles were used to accurately identify core gene clusters in microbial genomes. The metabolic gene clusters can be classified into different taxonomic groups according to Domain, Phylum, Class, Order, Family, Genus, and Species. BioMGCore can achieve batch statistics for secondary metabolites prediction.
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