most citedMIXALIME: MIXture models for ALlelic IMbalance Estimation in high-throughput sequencing data

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

stat.AP2023★ 2 cited

MIXALIME: MIXture models for ALlelic IMbalance Estimation in high-throughput sequencing data

Georgy Meshcheryakov, Sergey Abramov, Aleksandr Boytsov +3

Modern high-throughput sequencing assays efficiently capture not only gene expression and different levels of gene regulation but also a multitude of genome variants. Focused analy…

q-bio.GN2015

Negative selection maintains transcription factor binding motifs in human cancer

I. E. Vorontsov, I. V. Kulakovskiy, G. Khimulya +4

Somatic mutations in cancer cells affect various genomic elements disrupting important cell functions. In particular, mutations in DNA binding sites recognized by transcription fac…