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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Luise Rauer, Amedeo De Tomassi, Christian L. Müller, Claudia Hülpüsch, Claudia Traidl-Hoffmann, Matthias Reiger, Avidan U. Neumann
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2025-02-01
coleção:	Microbiome
Assuntos:	Bacterial mock community Positive control Extraction bias Cell lysis Kitome Contamination
Acesso em linha:	https://doi.org/10.1186/s40168-024-01998-4
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!