Critical Assessment of Metagenome Interpretation – a benchmark of computational metagenomics software

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Sczyrba , Alexander ; Hofmann , Peter ; Belmann , Peter ; Koslicki , David ; Janssen , Stefan ; Dröge , Johannes ; Gregor , Ivan ; Majda , Stephan ; Fiedler , Jessika ; Dahms , Eik ; Bremges , Andreas ; Fritz , Adrian ; Garrido-Oter , Ruben ; Jørgensen , Tue Sparholt ; Shapiro , Nicole ; Blood , Philip D ; Gurevich , Alexey ; Bai , Yang ; Turaev , Dmitrij ; DeMaere , Matthew Z ; Chikhi , Rayan ; Nagarajan , Niranjan ; Quince , Christopher ; Hansen , Lars Hestbjerg ; Sørensen , Søren J ; Chia , Burton K H ; Denis , Bertrand ; Froula , Jeff L ; Wang , Zhong ; Egan , Robert ... view all 65 authors (2017)
  • Publisher: Nature Publishing Group
  • Journal: volume 14, issue 11, pages 1,063-1,071 (issn: 1548-7091, eissn: 1548-7105)
  • Related identifiers: doi: 10.3929/ethz-b-000206823, doi: 10.1101/099127, doi: 10.1038/nmeth.4458
  • Subject: bepress|Life Sciences|Biology | GENOMES | IDENTIFICATION | bepress|Life Sciences|Bioinformatics | CONTIGS | MARKER GENES | DEFINITION | MICROBIAL COMMUNITIES | DATASETS | RAPID RECONSTRUCTION | SEQUENCES | [ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM]

International audience; In metagenome analysis, computational methods for assembly, taxonomic profilingand binning are key components facilitating downstream biological datainterpretation. However, a lack of consensus about benchmarking datasets andevaluation metrics co... View more
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