Brendan Furneaux

POAnoise improves amplicon sequencing denoising by using graph-based alignment and abundance-aware clustering, achieving higher F1-scores and more stable performance than existing methods.

This study compares metabarcoding and individual barcoding of insect samples, finding they yield similar community structure but metabarcoding adds more species due to DNA residues.

This study compares taxonomic classification methods for DNA barcoding, finding that phylogenetic placement methods excel for arthropod COI barcodes while composition-based classifiers perform better for fungal ITS.

The paper introduces CORAL, a transfer learning method that improves prediction and inference for rare species using DNA metabarcoding data from Madagascar.

The paper reconstructs NOD-like receptor alleles in Podospora anserina using long-read sequencing, revealing structural and functional insights into incompatibility genes.