Sarah J. Adamowicz

The paper presents a DNA barcode library for Diptera in Churchill, Canada, revealing biodiversity patterns and molecular evolution insights.

This study compares metagenomics and total RNA-Seq for reconstructing full-length SSU rRNA from HTS data, finding that total RNA-Seq provides more complete reconstructions.

The paper evaluates imputation methods for mixed-type trait data using a real data-driven simulation strategy, finding that random forest with phylogenetic information performs best.

This study develops a reusable bioinformatics pipeline for population genetics analysis, showing habitat and larval diet influence population genetic structure in Diptera species.

This study compares metagenomics and total RNA-Seq for microbial identification accuracy using 768 workflows, finding total RNA-Seq more accurate at lower sequencing depths and suggesting its potential for cost-effective freshwater assessments.

debar is an R package that denoises COI-5P DNA barcode data using a profile hidden Markov model, reducing indel errors by 75-94% with a low false correction rate.

Alfie is a Python package that classifies COI DNA barcode sequences into taxonomic kingdoms using k-mer frequencies and a neural network classifier with over 99% accuracy.

The paper introduces the coil R package for cleaning, translating, and evaluating errors in COI-5P DNA barcode data, showing high accuracy in identifying technical errors but limitations in detecting biological contaminants.