Validated removal of nuclear pseudogenes and sequencing artefacts from mitochondrial metabarcode data
C. Andujar, T. J. Creedy, P. Arribas, H. Lopez, A. Salces-Castellano, A. Perez-Delgado, A. P. Vogler, B. C. Emerson
The paper introduces metaMATE, a framework to filter out non-authentic sequences from mitochondrial metabarcoding data by evaluating abundance thresholds and reference data.
bioRxiv · Jun 17, 2020Evolutionary Biology