Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Detecting DNA Methylation using the Oxford Nanopore Technologies MinION sequencer

Jared T Simpson, Rachael Workman, P. C. Zuzarte, Matei David, L. J. Dursi, Winston Timp
doi: https://doi.org/10.1101/047142
Jared T Simpson
1Ontario Institute for Cancer Research, Toronto, Canada
2Department of Computer Science, University of Toronto, Toronto, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: jared.simpson@oicr.on.ca wtimp@jhu.edu
Rachael Workman
3Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
P. C. Zuzarte
1Ontario Institute for Cancer Research, Toronto, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Matei David
1Ontario Institute for Cancer Research, Toronto, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
L. J. Dursi
1Ontario Institute for Cancer Research, Toronto, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Winston Timp
3Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: jared.simpson@oicr.on.ca wtimp@jhu.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Article Information

doi 
https://doi.org/10.1101/047142
History 
  • April 4, 2016.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Jared T Simpson1,2,*,
  2. Rachael Workman3,
  3. P. C. Zuzarte1,
  4. Matei David1,
  5. L. J. Dursi1 and
  6. Winston Timp3,*
  1. 1Ontario Institute for Cancer Research, Toronto, Canada
  2. 2Department of Computer Science, University of Toronto, Toronto, Canada
  3. 3Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland
  1. ↵Correspondence to: jared.simpson{at}oicr.on.ca, wtimp{at}jhu.edu
Back to top
PreviousNext
Posted April 04, 2016.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Detecting DNA Methylation using the Oxford Nanopore Technologies MinION sequencer
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Detecting DNA Methylation using the Oxford Nanopore Technologies MinION sequencer
Jared T Simpson, Rachael Workman, P. C. Zuzarte, Matei David, L. J. Dursi, Winston Timp
bioRxiv 047142; doi: https://doi.org/10.1101/047142
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Detecting DNA Methylation using the Oxford Nanopore Technologies MinION sequencer
Jared T Simpson, Rachael Workman, P. C. Zuzarte, Matei David, L. J. Dursi, Winston Timp
bioRxiv 047142; doi: https://doi.org/10.1101/047142

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Genomics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4237)
  • Biochemistry (9152)
  • Bioengineering (6789)
  • Bioinformatics (24037)
  • Biophysics (12142)
  • Cancer Biology (9550)
  • Cell Biology (13808)
  • Clinical Trials (138)
  • Developmental Biology (7649)
  • Ecology (11719)
  • Epidemiology (2066)
  • Evolutionary Biology (15522)
  • Genetics (10654)
  • Genomics (14337)
  • Immunology (9495)
  • Microbiology (22872)
  • Molecular Biology (9113)
  • Neuroscience (49070)
  • Paleontology (355)
  • Pathology (1485)
  • Pharmacology and Toxicology (2572)
  • Physiology (3851)
  • Plant Biology (8341)
  • Scientific Communication and Education (1473)
  • Synthetic Biology (2299)
  • Systems Biology (6199)
  • Zoology (1302)