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_32
Snippet: The algorithms diverged in runtime by several orders of magnitude ( In addition to its high speed, MetaPhlAn also achieved the highest accuracy, defined as ratio of true with fewer than 100 reads assigned to each. Kraken has a similar false positive profile; it reports 1,266 218 species that account for <1% of the reads in the dataset. MetaCV reports 2,998 false organisms with 219 low read count, and LMAT reports 1,118 species that account for le.....
Document: The algorithms diverged in runtime by several orders of magnitude ( In addition to its high speed, MetaPhlAn also achieved the highest accuracy, defined as ratio of true with fewer than 100 reads assigned to each. Kraken has a similar false positive profile; it reports 1,266 218 species that account for <1% of the reads in the dataset. MetaCV reports 2,998 false organisms with 219 low read count, and LMAT reports 1,118 species that account for less than 0.01% of the reads. 220
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