Akosua Busia

Megascale recombination generates millions of catalytically competent PETases

This study shows that large-scale recombination can generate millions of catalytically competent PETases compatible with high-throughput screening.

Activity and specificity trade-offs in adenine base editors

This study investigates the trade-off between activity and specificity in adenine base editors using machine learning and high-throughput screening, finding that activity is the primary determinant of editing outcomes.

Model-based differential sequencing analysis

This paper introduces a new method for differential sequencing analysis that improves accuracy by better utilizing sequencing data through model-based enrichment.

A deep learning approach to pattern recognition for short DNA sequences

A convolutional network trained on 16S reads from 13,838 species reaches within 2.0% of training-set Bayes-optimal species accuracy and usually beats k-mer, alignment and Kraken2 on held-out-species genera.