Article

Using Deep Learning for Gene Detection and Classification in Raw Nanopore Signals

2021-12-23

Abstract excerpt

Recently, nanopore sequencing has come to the fore as library preparation is rapid and simple, sequencing can be done almost anywhere, and longer reads are obtained than with next-generation sequencing. The main bottleneck still lies in data postprocessing which consists of basecalling, genome assembly, and localizing significant sequences, which is time consuming and computationally demanding, thus prolonging del...

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Literature Corpus work: 89038a18-f5e2-5bd8-8bac-cd3f623fd8be
DOI: 10.1101/2021.12.23.473143

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