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

Assembling a corpus of phosphoproteomic annotations using ProtMapper to normalize site information from databases and text mining

View ORCID ProfileJohn A. Bachman, View ORCID ProfilePeter K. Sorger, View ORCID ProfileBenjamin M. Gyori
doi: https://doi.org/10.1101/822668
John A. Bachman
1Laboratory of Systems Pharmacology, Harvard Medical School, 200 Longwood Avenue, Boston, MA 02115
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for John A. Bachman
Peter K. Sorger
1Laboratory of Systems Pharmacology, Harvard Medical School, 200 Longwood Avenue, Boston, MA 02115
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Peter K. Sorger
  • For correspondence: benjamin_gyori@hms.harvard.edu lsp-papers@hms.harvard.edu peter_sorger@hms.harvard.edu
Benjamin M. Gyori
1Laboratory of Systems Pharmacology, Harvard Medical School, 200 Longwood Avenue, Boston, MA 02115
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Benjamin M. Gyori
  • For correspondence: benjamin_gyori@hms.harvard.edu lsp-papers@hms.harvard.edu peter_sorger@hms.harvard.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading
  • https://github.com/indralab/protmapper

  • https://github.com/indralab/protmapper_paper

Back to top
PreviousNext
Posted October 29, 2022.
Download PDF

Supplementary Material

Data/Code
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.
Assembling a corpus of phosphoproteomic annotations using ProtMapper to normalize site information from databases and text mining
(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
Assembling a corpus of phosphoproteomic annotations using ProtMapper to normalize site information from databases and text mining
John A. Bachman, Peter K. Sorger, Benjamin M. Gyori
bioRxiv 822668; doi: https://doi.org/10.1101/822668
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Assembling a corpus of phosphoproteomic annotations using ProtMapper to normalize site information from databases and text mining
John A. Bachman, Peter K. Sorger, Benjamin M. Gyori
bioRxiv 822668; doi: https://doi.org/10.1101/822668

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 (4087)
  • Biochemistry (8764)
  • Bioengineering (6479)
  • Bioinformatics (23344)
  • Biophysics (11750)
  • Cancer Biology (9149)
  • Cell Biology (13255)
  • Clinical Trials (138)
  • Developmental Biology (7417)
  • Ecology (11369)
  • Epidemiology (2066)
  • Evolutionary Biology (15087)
  • Genetics (10399)
  • Genomics (14009)
  • Immunology (9121)
  • Microbiology (22041)
  • Molecular Biology (8779)
  • Neuroscience (47372)
  • Paleontology (350)
  • Pathology (1420)
  • Pharmacology and Toxicology (2482)
  • Physiology (3704)
  • Plant Biology (8050)
  • Scientific Communication and Education (1431)
  • Synthetic Biology (2208)
  • Systems Biology (6016)
  • Zoology (1250)