(Source-tracking for Contamination Removal in microBiomes).
In silico removal of contamination from (microbial) counts data using process controls.
Austin et al., in prep. 2022
Data-driven simulation-based recommender system for experimental design that improves contamination removal.
We also contributed to:
Efficient and accurate inference of microbial growth rates from metagenomic data.
Detection of structural variants in microbial genomes using metagenomic data.