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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Luise Rauer, Amedeo De Tomassi, Christian L. Müller, Claudia Hülpüsch, Claudia Traidl-Hoffmann, Matthias Reiger, Avidan U. Neumann
Format: Article
Language:English
Published: BMC 2025-02-01
Series:Microbiome
Subjects:
Bacterial mock community
Positive control
Extraction bias
Cell lysis
Kitome
Contamination
Online Access:https://doi.org/10.1186/s40168-024-01998-4
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s40168-024-01998-4

Similar Items