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Improved data analysis for the MinION nanopore sequencer.

Authors :
Jain M
Fiddes IT
Miga KH
Olsen HE
Paten B
Akeson M
Source :
Nature methods [Nat Methods] 2015 Apr; Vol. 12 (4), pp. 351-6. Date of Electronic Publication: 2015 Feb 16.
Publication Year :
2015

Abstract

Speed, single-base sensitivity and long read lengths make nanopores a promising technology for high-throughput sequencing. We evaluated and optimized the performance of the MinION nanopore sequencer using M13 genomic DNA and used expectation maximization to obtain robust maximum-likelihood estimates for insertion, deletion and substitution error rates (4.9%, 7.8% and 5.1%, respectively). Over 99% of high-quality 2D MinION reads mapped to the reference at a mean identity of 85%. We present a single-nucleotide-variant detection tool that uses maximum-likelihood parameter estimates and marginalization over many possible read alignments to achieve precision and recall of up to 99%. By pairing our high-confidence alignment strategy with long MinION reads, we resolved the copy number for a cancer-testis gene family (CT47) within an unresolved region of human chromosome Xq24.

Details

Language :
English
ISSN :
1548-7105
Volume :
12
Issue :
4
Database :
MEDLINE
Journal :
Nature methods
Publication Type :
Academic Journal
Accession number :
25686389
Full Text :
https://doi.org/10.1038/nmeth.3290