Detecting Modified Bases in MinION Data

Supervisor: Mgr. Tomáš Vinař, PhD.

MinION is a sequencing platform that produces sequences of electrical signals from DNA molecules. These signals can then be translated into a string representation of the DNA (a string over alphabet {A,C,G,T}). Such translation is non-trivial and requires advanced machine learning methods, such as recurrent neural networks. This string representation does not cover various base modifications, however such modification cause changes in the electrical signals produced by the device. The goal of this thesis is to develop a method to identify these modifications by unsupervised (e.g. outlier detection) or semi-supervised methods.

Literature:

Spreadsheet s nanopórovými článkami
Ostatné články

Diplomový seminár 1: