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

Human 5′ UTR design and variant effect prediction from a massively parallel translation assay

View ORCID ProfilePaul J. Sample, View ORCID ProfileBan Wang, David W. Reid, View ORCID ProfileVlad Presnyak, Iain McFadyen, David R. Morris, View ORCID ProfileGeorg Seelig
doi: https://doi.org/10.1101/310375
Paul J. Sample
Department of Electrical Engineering, University of Washington, Seattle WA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Paul J. Sample
Ban Wang
Department of Electrical Engineering, University of Washington, Seattle WA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Ban Wang
David W. Reid
Moderna Therapeutics, Cambridge MA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Vlad Presnyak
Moderna Therapeutics, Cambridge MA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Vlad Presnyak
Iain McFadyen
Moderna Therapeutics, Cambridge MA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
David R. Morris
Department of Biochemistry, University of Washington, Seattle WA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Georg Seelig
Department of Electrical Engineering, University of Washington, Seattle WAPaul G. Allen School of Computer Science & Engineering, University of Washington, Seattle WA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Georg Seelig
  • For correspondence: gseelig@uw.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Article Information

doi 
https://doi.org/10.1101/310375
History 
  • April 29, 2018.
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-ND 4.0 International license.

Author Information

  1. Paul J. Sample1,
  2. Ban Wang1,
  3. David W. Reid2,
  4. Vlad Presnyak2,
  5. Iain McFadyen2,
  6. David R. Morris3 and
  7. Georg Seelig1,4,†
  1. 1Department of Electrical Engineering, University of Washington, Seattle WA
  2. 2Moderna Therapeutics, Cambridge MA
  3. 3Department of Biochemistry, University of Washington, Seattle WA
  4. 4Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle WA
  1. ↵† Corresponding author. Email: gseelig{at}uw.edu (G.S)
Back to top
PreviousNext
Posted April 29, 2018.
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.
Human 5′ UTR design and variant effect prediction from a massively parallel translation assay
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
Share
Human 5′ UTR design and variant effect prediction from a massively parallel translation assay
Paul J. Sample, Ban Wang, David W. Reid, Vlad Presnyak, Iain McFadyen, David R. Morris, Georg Seelig
bioRxiv 310375; doi: https://doi.org/10.1101/310375
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
Human 5′ UTR design and variant effect prediction from a massively parallel translation assay
Paul J. Sample, Ban Wang, David W. Reid, Vlad Presnyak, Iain McFadyen, David R. Morris, Georg Seelig
bioRxiv 310375; doi: https://doi.org/10.1101/310375

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

  • Synthetic Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (1537)
  • Biochemistry (2494)
  • Bioengineering (1751)
  • Bioinformatics (9712)
  • Biophysics (3923)
  • Cancer Biology (2983)
  • Cell Biology (4225)
  • Clinical Trials (135)
  • Developmental Biology (2644)
  • Ecology (4116)
  • Epidemiology (2033)
  • Evolutionary Biology (6919)
  • Genetics (5228)
  • Genomics (6528)
  • Immunology (2200)
  • Microbiology (6987)
  • Molecular Biology (2774)
  • Neuroscience (17376)
  • Paleontology (126)
  • Pathology (432)
  • Pharmacology and Toxicology (709)
  • Physiology (1064)
  • Plant Biology (2508)
  • Scientific Communication and Education (646)
  • Synthetic Biology (835)
  • Systems Biology (2695)
  • Zoology (437)