engleski

Computing the Error Profiles of Third Generation Sequencing Technologies

When reads are assembled into a longer sequence and finally into a consensus, the goal is to reproduce a consensus that is as similar to the reference as possible. Oxford Nanopore Technologies have issues when sequencing homopolymers. That is why we developed a tool where we found error profiles of homopolymers. Using error profiles we trained machine learning algorithms to predict the real length of homopolymers. Then we altered the consensus accordingly, in order to reach reference sequence.

homopolymers, error profiles, Oxford Nanopore Technologies, machine learning

nije evidentirano