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PMID: 25686389 Published · ppublish English Journal Article Research Support, N.I.H., Extramural

Improved data analysis for the MinION nanopore sequencer.

Nature methods ·Vol. 12 ·No. 4 ·2015-04-00 ·Pages 351-6

Jain M, Fiddes IT, Miga KH, Olsen HE, Paten B, Akeson M

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.

MeSH Terms
Algorithms Gene Dosage High-Throughput Nucleotide Sequencing/methods Humans Nanopores Neoplasms/genetics
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Jain Miten
1] UC Santa Cruz Genomics Institute, Santa Cruz, California, USA. [2] Department of Biomolecular Engineering, University of California, Santa Cruz, California, USA.
Fiddes Ian T
1] UC Santa Cruz Genomics Institute, Santa Cruz, California, USA. [2] Department of Biomolecular Engineering, University of California, Santa Cruz, California, USA.
Miga Karen H
1] UC Santa Cruz Genomics Institute, Santa Cruz, California, USA. [2] Department of Biomolecular Engineering, University of California, Santa Cruz, California, USA.
Olsen Hugh E
1] UC Santa Cruz Genomics Institute, Santa Cruz, California, USA. [2] Department of Biomolecular Engineering, University of California, Santa Cruz, California, USA.
Paten Benedict
1] UC Santa Cruz Genomics Institute, Santa Cruz, California, USA. [2] Department of Biomolecular Engineering, University of California, Santa Cruz, California, USA.
Akeson Mark
1] UC Santa Cruz Genomics Institute, Santa Cruz, California, USA. [2] Department of Biomolecular Engineering, University of California, Santa Cruz, California, USA.
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Article Info
Journal
Nature methods
Abbr.
Nat Methods
ISSN
1548-7105
Published
2015-04-00
Epub
2015-00-16
Pages
351-6
Language
English
Region
United States
NLM ID
101215604
PMCID
PMC4907500
Subset
IM
Grants
NHGRI NIH HHS · HG006321 · United States
NHGRI NIH HHS · R01 HG006321 · United States
NHGRI NIH HHS · U54HG007990 · United States
NHGRI NIH HHS · HG007827 · United States
NHGRI NIH HHS · U54 HG007990 · United States
NHGRI NIH HHS · R01 HG007827 · United States
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