Kamil Khanipov

This study examines how mosquito genetic background and associated microbiomes influence Zika virus infection outcomes in Aedes aegypti, revealing line-specific microbiome responses to viral exposure.

The paper identifies common sequence motifs shared among specific microRNAs in exosomes from rickettsia-infected cells, linking them to microvasculopathy.

The paper introduces a method to identify multidimensional patterns in microbial communities using 2,380 Human Microbiome Project samples, detecting significant 2D and 3D relationships between organisms.

Broom is a tool that stores only high-quality HTS reads at high compression rates to address storage challenges for small labs.

The paper introduces a method to quantify and evaluate co-exclusion patterns in microbial communities and applies it to human microbiome data.