Svetlana Kutuzova

TaxVAMB improves metagenome binning by combining tetranucleotide frequencies and co-abundances with taxonomic annotations, outperforming existing methods on benchmark and real datasets.

Taxometer improves taxonomic classification of metagenomics contigs by combining abundance profiles and tetra-nucleotide frequencies, enhancing accuracy across multiple tools.

This paper introduces AAMB, a deep learning method for metagenomic binning that improves genome reconstruction by integrating sequence co-abundances and tetranucleotide frequencies, outperforming existing methods in completeness and diversity.

SmartPeak automates metabolomics data processing with algorithms for alignment, calibration, and peak integration, improving reproducibility and throughput.