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

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 results of...

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Detalles Bibliográficos
Autores principales: Poussin, Carine, Khachatryan, Lusine, Sierro, Nicolas, Narsapuram, Vijay Kumar, Meyer, Fernando, Kaikala, Vinay, Chawla, Vandna, Muppirala, Usha, Kumar, Sunil, Belcastro, Vincenzo, Battey, James N. D., Scotti, Elena, Boué, Stéphanie, McHardy, Alice C., Peitsch, Manuel C., Ivanov, Nikolai V., Hoeng, Julia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429340/
https://www.ncbi.nlm.nih.gov/pubmed/36042406
http://dx.doi.org/10.1186/s12864-022-08803-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429340/
https://www.ncbi.nlm.nih.gov/pubmed/36042406
http://dx.doi.org/10.1186/s12864-022-08803-2

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