Abstract
AbstractWe developed a python package calledmbctools, designed to offer a cross-platform tool for processing amplicon data from various organisms in the context of metabarcoding studies. It can handle the most common tasks in metabarcoding pipelines like paired-end merging, primer trimming, quality filtering, zero-radius operational taxonomic units (ZOTU) denoising and filtering. This pipeline has the capability to process multiple genetic markers simultaneously.mbctoolsis a menu-driven program that eliminates the need for expertise in command-line skills and ensures documentation of each analysis for reproducibility purposes. In our workflow, VSEARCH is utilized for processingfastqfiles derived from amplicon data. To adapt to the diversity of projects in metabarcoding, we facilitate the reprocessing of datasets with the possibility to adjust parameters.mbctoolscan also be launched in headless mode, making it suited for integration into pipelines running on High-Performance Computing (HPC) environments.mbctoolsis available at:https://github.com/GuilhemSempere/mbctools,https://pypi.org/project/mbctools/.
Publisher
Cold Spring Harbor Laboratory