THAPBI PICT - a fast, cautious, and accurate metabarcoding analysis pipeline

Peter J. A. Cock, David E. L. Cooke, Peter Thorpe, Leighton Pritchard

Research output: Contribution to journalArticlepeer-review

24 Downloads (Pure)

Abstract

THAPBI PICT is an open source software pipeline for metabarcoding analysis of Illumina paired-end reads, including cases of multiplexing where more than one amplicon is amplified per DNA sample. Initially a Phytophthora ITS1 Classification Tool (PICT), we demonstrate using worked examples with our own and public data sets how, with appropriate primer settings and a custom database, it can be applied to other amplicons and organisms, and used for reanalysis of existing datasets. The core dataflow of the implementation is (i) data reduction to unique marker sequences, often called amplicon sequence variants (ASVs), (ii) dynamic thresholds for discarding low abundance sequences to remove noise and artifacts (rather than error correction by default), before (iii) classification using a curated reference database. The default classifier assigns a label to each query sequence based on a database match that is either perfect, or a single base pair edit away (substitution, deletion or insertion). Abundance thresholds for inclusion can be set by the user or automatically using per-batch negative or synthetic control samples. Output is designed for practical interpretation by non-specialists and includes a read report (ASVs with classification and counts per sample), sample report (samples with counts per species classification), and a topological graph of ASVs as nodes with short edit distances as edges. Source code available from https://github.com/peterjc/thapbi-pict/ with documentation including installation instructions.
Original languageEnglish
Article numbere15648
Number of pages17
JournalPeerJ
Volume11
DOIs
Publication statusPublished - 18 Aug 2023

Keywords

  • open source software
  • metabardoding
  • DNA

Fingerprint

Dive into the research topics of 'THAPBI PICT - a fast, cautious, and accurate metabarcoding analysis pipeline'. Together they form a unique fingerprint.

Cite this