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De-biasing microbiome sequencing data: bacterial morphology-based correction of extraction bias and correlates of chimera formation

Abstract Introduction Microbiome amplicon sequencing data are distorted by multiple protocol-dependent biases from bacterial DNA extraction, contamination, sequence errors, and chimeras, hindering clinical microbiome applications. In particular, extraction bias is a major confounder in sequencing-ba...

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Principais autores: Luise Rauer, Amedeo De Tomassi, Christian L. Müller, Claudia Hülpüsch, Claudia Traidl-Hoffmann, Matthias Reiger, Avidan U. Neumann
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2025-02-01
Serier:Microbiome
Fag:
Bacterial mock community
Positive control
Extraction bias
Cell lysis
Kitome
Contamination
Online adgang:https://doi.org/10.1186/s40168-024-01998-4
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