Critical Assessment of Metagenome Interpretation-a benchmark of metagenomics software.

ABSTRACT: Methods for assembly, taxonomic profiling and binning are key to interpreting metagenome data, but a lack of consensus about benchmarking complicates performance assessment. The Critical Assessment of Metagenome Interpretation (CAMI) challenge has engaged the global developer community to benchmark their programs on highly complex and realistic data sets, generated from ∼700 newly sequenced microorganisms and ∼600 novel viruses and plasmids and representing common experimental setups. Assembly and genome binning programs performed well for species represented by individual genomes but were substantially affected by the presence of related strains. Taxonomic profiling and binning programs were proficient at high taxonomic ranks, with a notable performance decrease below family level. Parame

SUBMITTER: Sczyrba A 

PROVIDER: S-EPMC5903868 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature