Author: Anna Shcherbina; Darrell O. Ricke; Nelson Chiu
Title: Evaluating performance of metagenomic characterization algorithms using in silico datasets generated with FASTQSim Document date: 2016_3_31
ID: csokkcqq_44
Snippet: The algorithms were also evaluated based on false positive hits (Figure 4) . MetaCV and LMAT have 259 diverse error profiles -small numbers of reads are mapped to a high number of false positive 260 organisms. Our past experiences with the MetaScope algorithm suggest that this false positive profile 261.....
Document: The algorithms were also evaluated based on false positive hits (Figure 4) . MetaCV and LMAT have 259 diverse error profiles -small numbers of reads are mapped to a high number of false positive 260 organisms. Our past experiences with the MetaScope algorithm suggest that this false positive profile 261
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