PT  - JOURNAL ARTICLE
AU  - Tamas Szalay
AU  - Jene A. Golovchenko
TI  - A <em>de novo</em> DNA Sequencing and Variant Calling Algorithm for Nanopores
AID  - 10.1101/019448
DP  - 2015 Jan 01
TA  - bioRxiv
PG  - 019448
4099  - http://biorxiv.org/content/early/2015/05/19/019448.short
4100  - http://biorxiv.org/content/early/2015/05/19/019448.full
AB  - 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.