ena-STUDY-HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY-10-07-2018-03:19:33:925-7416
in silico metagenomics for validating the performance of the strain indentification  tool Strain-GeMS.
Four in silico metagenomics for validating the performance of the strain indentification  tool Strain-GeMS.Dataset1: 12 samples, mixture of two E.coli strains, three abundance composition at four different species coverage Dataset2: 12 samples, mixture of three E.coli strains, three abundance composition and four differnet species coverage Dataset3: 12 samples, mixture of two E.coli strains and two E.siraeum strains, three abundance composition and four different species coverage Dataset4: 4 samples, mixture of five closely related strains/species, one abundance composition at four different species coverage
Four in silico metagenomics for validating the performance of the strain indentification  tool Strain-GeMS.Dataset1: 12 samples, mixture of two E.coli strains, three abundance composition at four different species coverage Dataset2: 12 samples, mixture of three E.coli strains, three abundance composition and four differnet species coverage Dataset3: 12 samples, mixture of two E.coli strains and two E.siraeum strains, three abundance composition and four different species coverage Dataset4: 4 samples, mixture of five closely related strains/species, one abundance composition at four different species coverage