# A de novo DNA Sequencing and Variant Calling Algorithm for Nanopores

## TL;DR

This paper introduces a new algorithm that improves the accuracy of nanopore sequencing for genome analysis and variant calling.

## Contribution

A novel algorithm for error correction in nanopore sequencing using statistical models of the physical system.

## Key findings

- Achieved 99% accuracy in sequencing M13 bacteriophage DNA at moderate coverage.
- Demonstrated effective variant classification at lower coverage than existing methods.

## Abstract

The single-molecule accuracy of nanopore sequencing has been an area of rapid academic and commercial advancement, but remains insufficient for the de novo analysis of genomes. We introduce here a novel algorithm for the error correction of nanopore data, utilizing statistical models of the physical system in order to obtain high accuracy de novo sequences at a range of coverage depths. We demonstrate the technique by sequencing M13 bacteriophage DNA to 99% accuracy at moderate coverage as well as its use in an assembly pipeline by sequencing λ DNA at a range of coverages. We also show the algorithm’s ability to accurately classify sequence variants at far lower coverage than existing methods.