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_34
Snippet: Although the Actinomyces odontolyticus (NZ_DS264586.1) organism had the highest coverage (11.3x, 231 217512 reads) in the HMP staggered dataset, the algorithms on the whole did not perform well on this 232 organism. It was not identified by the Kraken, MetaCV, and MetaPhyler algorithms, and called at a low 233 level by MetaScope (153 reads) (Figure 2g ) MetaCV mapped the most reads correctly -108,211 (49.7%) 234.....
Document: Although the Actinomyces odontolyticus (NZ_DS264586.1) organism had the highest coverage (11.3x, 231 217512 reads) in the HMP staggered dataset, the algorithms on the whole did not perform well on this 232 organism. It was not identified by the Kraken, MetaCV, and MetaPhyler algorithms, and called at a low 233 level by MetaScope (153 reads) (Figure 2g ) MetaCV mapped the most reads correctly -108,211 (49.7%) 234
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