Bioinformatic correction of bacterial morphology-based extraction bias and chimeras in microbiome sequencing data
L. Rauer, A. De Tomassi, C. L. Müller, C. Hülpüsch, C. Traidl-Hoffmann, M. Reiger, A. U. Neumann
The paper corrects extraction bias in microbiome sequencing data using bacterial morphology, improving sample composition accuracy.
bioRxiv · Jul 6, 2023 · PreprintMicrobiology