Doctoral colloquium - Filip Kerák (18.3.2024)
Monday 18.3.2024 at 13:10, Lecture room I/9
Filip Kerák:
Abstract:
While sequencing DNA or RNA with nanopore, the sequencing machine outputs a signal that is later translated to a string over alphabet {A,C,G,T} using machine learning approaches. It has been shown that current approaches to this problem lead to systematic errors in recovered sequences, hindering the downstream analysis. The goal is to develop new methods that can characterize and identify such biases through probabilistic modeling and machine learning.