Critical Assessment of Metagenome Interpretation—a benchmark of metagenomics software

Article, Preprint English OPEN
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; Meyer, Fernando; Balvočiūtė, Monika; Hansen, Lars Hestbjerg; Sørensen, Søren J; Chia, Burton K H; Denis, Bertrand; Froula, Jeff L; ... view all 67 authors
(2017)
  • Publisher: Nature Publishing Group
  • Journal: Nature Methods,volume 14,issue 11,pages1,063-1,071 (issn: 1548-7091, eissn: 1548-7105)
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.3929/ethz-b-000206823, doi: 10.1101/099127, doi: 10.1038/nmeth.4458
  • Subject: [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] | GENOMES | bepress|Life Sciences|Bioinformatics | MICROBIAL COMMUNITIES | DATASETS | RAPID RECONSTRUCTION | SEQUENCES | [ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM] | bepress|Life Sciences|Biology | IDENTIFICATION | CONTIGS | MARKER GENES | DEFINITION

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