engleski

Detection of Modified Nucleotides Using Nanopore Sequencing and Deep Learning Methods

In this thesis, a method for DNA base modification detection is developed using Nanopore sequencing and deep learning principles. Nanopore sequencing detects different electrical current signals for different nucleotides, whilst a DNA strand passes through a nanopore. Then, basecalling is performed, translating the detected signals into a DNA sequence. After aligning basecalled reads to the reference, signal points at insertions and deletions should be remapped, using the developed Remapper method. The implementation achieves significant results regarding the runtime, though at the cost of reduced accuracy. Source code is available at https://github.com/sanjadeur/master- thesis/.

epigenetics ; DNA modification ; 5mC methylation ; CpG context ; Nanopore sequencing ; deep learning

nije evidentirano