DnoisE: distance denoising by entropy. An open-source parallelizable alternative for denoising sequence datasets.

ABSTRACT: DNA metabarcoding is broadly used in biodiversity studies encompassing a wide range of organisms. Erroneous amplicons, generated during amplification and sequencing procedures, constitute one of the major sources of concern for the interpretation of metabarcoding results. Several denoising programs have been implemented to detect and eliminate these errors. However, almost all denoising software currently available has been designed to process non-coding ribosomal sequences, most notably prokaryotic 16S rDNA. The growing number of metabarcoding studies using coding markers such as COI or RuBisCO demands a re-assessment and calibration of denoising algorithms. Here we present DnoisE, the first denoising program designed to detect erroneous reads and merge them with the correct ones using in

SUBMITTER: Antich A 

PROVIDER: S-EPMC8783565 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature