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

Nucleotide sequence and DNaseI sensitivity are predictive of 3D chromatin architecture

Jacob Schreiber, Maxwell Libbrecht, Jeffrey Bilmes, William Stafford Noble
doi: https://doi.org/10.1101/103614
Jacob Schreiber
1Department of Computer Science, University of Washington, Seattle, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Maxwell Libbrecht
2Department of Genome Sciences, University of Washington, Seattle, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jeffrey Bilmes
1Department of Computer Science, University of Washington, Seattle, USA
3Department of Electrical Engineering, University of Washington, Seattle, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
William Stafford Noble
1Department of Computer Science, University of Washington, Seattle, USA
2Department of Genome Sciences, University of Washington, Seattle, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Article Information

doi 
https://doi.org/10.1101/103614
History 
  • January 27, 2017.

Article Versions

  • You are currently viewing Version 1 of this article (January 27, 2017 - 10:45).
  • Version 2 (January 28, 2017 - 12:05).
  • Version 3 (January 30, 2017 - 19:25).
  • Version 4 (July 10, 2018 - 13:20).
  • View Version 5, the most recent version of this article.
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-NC 4.0 International license.

Author Information

  1. Jacob Schreiber1,
  2. Maxwell Libbrecht2,
  3. Jeffrey Bilmes1,3 and
  4. William Stafford Noble1,2
  1. 1Department of Computer Science, University of Washington, Seattle, USA
  2. 2Department of Genome Sciences, University of Washington, Seattle, USA
  3. 3Department of Electrical Engineering, University of Washington, Seattle, USA
  1. To whom correspondence should be addressed.
Back to top
PreviousNext
Posted January 27, 2017.
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.
Nucleotide sequence and DNaseI sensitivity are predictive of 3D chromatin architecture
(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
Nucleotide sequence and DNaseI sensitivity are predictive of 3D chromatin architecture
Jacob Schreiber, Maxwell Libbrecht, Jeffrey Bilmes, William Stafford Noble
bioRxiv 103614; doi: https://doi.org/10.1101/103614
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Nucleotide sequence and DNaseI sensitivity are predictive of 3D chromatin architecture
Jacob Schreiber, Maxwell Libbrecht, Jeffrey Bilmes, William Stafford Noble
bioRxiv 103614; doi: https://doi.org/10.1101/103614

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

  • Bioinformatics
Subject Areas
All Articles
  • Animal Behavior and Cognition (3514)
  • Biochemistry (7371)
  • Bioengineering (5347)
  • Bioinformatics (20329)
  • Biophysics (10048)
  • Cancer Biology (7782)
  • Cell Biology (11353)
  • Clinical Trials (138)
  • Developmental Biology (6454)
  • Ecology (9985)
  • Epidemiology (2065)
  • Evolutionary Biology (13361)
  • Genetics (9377)
  • Genomics (12616)
  • Immunology (7729)
  • Microbiology (19119)
  • Molecular Biology (7478)
  • Neuroscience (41163)
  • Paleontology (301)
  • Pathology (1235)
  • Pharmacology and Toxicology (2142)
  • Physiology (3183)
  • Plant Biology (6885)
  • Scientific Communication and Education (1276)
  • Synthetic Biology (1900)
  • Systems Biology (5329)
  • Zoology (1091)