Literature DB >> 22677395

DNA base-calling from a nanopore using a Viterbi algorithm.

Winston Timp, Jeffrey Comer, Aleksei Aksimentiev.   

Abstract

Nanopore-based DNA sequencing is the most promising third-generation sequencing method. It has superior read length, speed, and sample requirements compared with state-of-the-art second-generation methods. However, base-calling still presents substantial difficulty because the resolution of the technique is limited compared with the measured signal/noise ratio. Here we demonstrate a method to decode 3-bp-resolution nanopore electrical measurements into a DNA sequence using a Hidden Markov model. This method shows tremendous potential for accuracy (~98%), even with a poor signal/noise ratio.
Copyright © 2012 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22677395      PMCID: PMC3353060          DOI: 10.1016/j.bpj.2012.04.009

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  11 in total

1.  Pattern recognition-informed feedback for nanopore detector cheminformatics.

Authors:  A Murat Eren; Iftekhar Amin; Amanda Alba; Eric Morales; Alexander Stoyanov; Stephen Winters-Hilt
Journal:  Adv Exp Med Biol       Date:  2010       Impact factor: 2.622

2.  Imaging alpha-hemolysin with molecular dynamics: ionic conductance, osmotic permeability, and the electrostatic potential map.

Authors:  Aleksij Aksimentiev; Klaus Schulten
Journal:  Biophys J       Date:  2005-03-11       Impact factor: 4.033

Review 3.  Bioinformatics challenges of new sequencing technology.

Authors:  Mihai Pop; Steven L Salzberg
Journal:  Trends Genet       Date:  2008-02-11       Impact factor: 11.639

4.  Nanopore Sequencing: Electrical Measurements of the Code of Life.

Authors:  Winston Timp; Utkur M Mirsaidov; Deqiang Wang; Jeff Comer; Aleksei Aksimentiev; Gregory Timp
Journal:  IEEE Trans Nanotechnol       Date:  2010-05-01       Impact factor: 2.570

5.  Predicting the DNA sequence dependence of nanopore ion current using atomic-resolution Brownian dynamics.

Authors:  Jeffrey Comer; Aleksei Aksimentiev
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2012-01-09       Impact factor: 4.126

6.  Multiple base-recognition sites in a biological nanopore: two heads are better than one.

Authors:  David Stoddart; Giovanni Maglia; Ellina Mikhailova; Andrew J Heron; Hagan Bayley
Journal:  Angew Chem Int Ed Engl       Date:  2010       Impact factor: 15.336

7.  Beyond the Gene Chip.

Authors:  J B Heng; A Aksimentiev; C Ho; V Dimitrov; T Sorsch; J Miner; W Mansfield; K Schulten; G Timp
Journal:  Bell Labs Tech J       Date:  2005       Impact factor: 0.333

8.  Nucleotide identification and orientation discrimination of DNA homopolymers immobilized in a protein nanopore.

Authors:  Robert F Purnell; Kunal K Mehta; Jacob J Schmidt
Journal:  Nano Lett       Date:  2008-08-13       Impact factor: 11.189

Review 9.  The potential and challenges of nanopore sequencing.

Authors:  Daniel Branton; David W Deamer; Andre Marziali; Hagan Bayley; Steven A Benner; Thomas Butler; Massimiliano Di Ventra; Slaven Garaj; Andrew Hibbs; Xiaohua Huang; Stevan B Jovanovich; Predrag S Krstic; Stuart Lindsay; Xinsheng Sean Ling; Carlos H Mastrangelo; Amit Meller; John S Oliver; Yuriy V Pershin; J Michael Ramsey; Robert Riehn; Gautam V Soni; Vincent Tabard-Cossa; Meni Wanunu; Matthew Wiggin; Jeffery A Schloss
Journal:  Nat Biotechnol       Date:  2008-10       Impact factor: 54.908

10.  Nucleotide discrimination with DNA immobilized in the MspA nanopore.

Authors:  Elizabeth A Manrao; Ian M Derrington; Mikhail Pavlenok; Michael Niederweis; Jens H Gundlach
Journal:  PLoS One       Date:  2011-10-04       Impact factor: 3.240

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  27 in total

1.  Analysis of nanopore data using hidden Markov models.

Authors:  Jacob Schreiber; Kevin Karplus
Journal:  Bioinformatics       Date:  2015-02-03       Impact factor: 6.937

2.  Statistical inference for nanopore sequencing with a biased random walk model.

Authors:  Kevin J Emmett; Jacob K Rosenstein; Jan-Willem van de Meent; Ken L Shepard; Chris H Wiggins
Journal:  Biophys J       Date:  2015-04-21       Impact factor: 4.033

Review 3.  Modeling and simulation of ion channels.

Authors:  Christopher Maffeo; Swati Bhattacharya; Jejoong Yoo; David Wells; Aleksei Aksimentiev
Journal:  Chem Rev       Date:  2012-10-04       Impact factor: 60.622

4.  Creating a Single Sensing Zone within an Alpha-Hemolysin Pore Via Site Directed Mutagenesis.

Authors:  Eric N Ervin; Geoffrey A Barrall; Prithwish Pal; Megan K Bean; Anna E P Schibel; Andrew D Hibbs
Journal:  Bionanoscience       Date:  2014-03-01

5.  DNA sequence-dependent ionic currents in ultra-small solid-state nanopores.

Authors:  Jeffrey Comer; Aleksei Aksimentiev
Journal:  Nanoscale       Date:  2016-05-05       Impact factor: 7.790

6.  Reading the primary structure of a protein with 0.07 nm3 resolution using a subnanometre-diameter pore.

Authors:  Eamonn Kennedy; Zhuxin Dong; Clare Tennant; Gregory Timp
Journal:  Nat Nanotechnol       Date:  2016-07-25       Impact factor: 39.213

7.  Graphene Nanopores for Protein Sequencing.

Authors:  James Wilson; Leila Sloman; Zhiren He; Aleksei Aksimentiev
Journal:  Adv Funct Mater       Date:  2016-06-09       Impact factor: 18.808

Review 8.  Three decades of nanopore sequencing.

Authors:  David Deamer; Mark Akeson; Daniel Branton
Journal:  Nat Biotechnol       Date:  2016-05-06       Impact factor: 54.908

9.  Differentiation of short, single-stranded DNA homopolymers in solid-state nanopores.

Authors:  Kimberly Venta; Gabriel Shemer; Matthew Puster; Julio A Rodríguez-Manzo; Adrian Balan; Jacob K Rosenstein; Ken Shepard; Marija Drndić
Journal:  ACS Nano       Date:  2013-05-06       Impact factor: 15.881

10.  Wavelet Denoising of High-Bandwidth Nanopore and Ion-Channel Signals.

Authors:  Siddharth Shekar; Chen-Chi Chien; Andreas Hartel; Peijie Ong; Oliver B Clarke; Andrew Marks; Marija Drndic; Kenneth L Shepard
Journal:  Nano Lett       Date:  2019-01-07       Impact factor: 11.189

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