Crowdsourced benchmarking of taxonomic metagenome profilers: lessons learned from the sbv IMPROVER Microbiomics challenge

Abstract Background Selection of optimal computational strategies for analyzing metagenomics data is a decisive step in determining the microbial composition of a sample, and this procedure is complex because of the numerous tools currently available. The aim of this research was to summarize the re...

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Xehetasun bibliografikoak

Egile Nagusiak:	Carine Poussin, Lusine Khachatryan, Nicolas Sierro, Vijay Kumar Narsapuram, Fernando Meyer, Vinay Kaikala, Vandna Chawla, Usha Muppirala, Sunil Kumar, Vincenzo Belcastro, James N. D. Battey, Elena Scotti, Stéphanie Boué, Alice C. McHardy, Manuel C. Peitsch, Nikolai V. Ivanov, Julia Hoeng
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	BMC 2022-08-01
Saila:	BMC Genomics
Gaiak:	Crowdsourcing Computational method benchmarking Metagenomics Taxonomic profiling Microbiome Bacterial communities
Sarrera elektronikoa:	https://doi.org/10.1186/s12864-022-08803-2
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