Viachaslau Tsyvina

This paper introduces CliqueSNV, a method to accurately identify minority viral haplotypes from NGS data by reducing sequencing noise, achieving detection at frequencies as low as 0.1%.

This paper introduces SCIFIL, a tool to infer fitness landscapes of cancer clones from single-cell sequencing data, demonstrating its accuracy on simulated and experimental data.

The paper presents a fast and scalable k-mer-based framework for efficiently extracting genetically similar sequences from large NGS datasets, targeting heterogeneous populations like viruses.