Anna Zhukova

The paper introduces a deep learning framework for estimating epidemiological parameters from viral sequences, achieving high accuracy and speed compared to traditional methods.

This paper investigates the multiplicity of Trx systems in Clostridia, showing how different TrxBs and TrxAs contribute to stress response, sporulation, and Stickland pathway metabolism.

The paper introduces a deep learning method for phylodynamic analysis that outperforms existing approaches on simulated data and applies to HIV outbreak dynamics.

The paper analyzes CRF19 HIV-1 subtype sequences from Cuba to trace its origin, spread, and transmission patterns, finding early introduction and rapid progression to AIDS.

This study analyzes how global and regional public health interventions affected SARS-CoV-2 transmission clusters using genetic sequence data and phylogenetic analysis.