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

The evo-MOTiF pipeline and database for studying protein motif evolution in a structural context

Paul de Boissier, Nathaniel Zweig, View ORCID ProfileBianca H. Habermann
doi: https://doi.org/10.1101/2022.08.29.505684
Paul de Boissier
1Aix-Marseille University, CNRS, IBDM UMR 7288, 13009 Marseille, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nathaniel Zweig
1Aix-Marseille University, CNRS, IBDM UMR 7288, 13009 Marseille, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Bianca H. Habermann
1Aix-Marseille University, CNRS, IBDM UMR 7288, 13009 Marseille, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Bianca H. Habermann
  • For correspondence: bianca.habermann@univ-amu.fr
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading

Article Information

doi 
https://doi.org/10.1101/2022.08.29.505684
History 
  • August 29, 2022.

Article Versions

  • You are currently viewing Version 1 of this article (August 29, 2022 - 22:20).
  • Version 2 (September 5, 2022 - 08:09).
  • View Version 3, 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-ND 4.0 International license.

Author Information

  1. Paul de Boissier1,
  2. Nathaniel Zweig1 and
  3. Bianca H. Habermann1,*
  1. 1Aix-Marseille University, CNRS, IBDM UMR 7288, 13009 Marseille, France
  1. ↵*Corresponding author; email: bianca.habermann{at}univ-amu.fr
Back to top
PreviousNext
Posted August 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.
The evo-MOTiF pipeline and database for studying protein motif evolution in a structural context
(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
The evo-MOTiF pipeline and database for studying protein motif evolution in a structural context
Paul de Boissier, Nathaniel Zweig, Bianca H. Habermann
bioRxiv 2022.08.29.505684; doi: https://doi.org/10.1101/2022.08.29.505684
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
The evo-MOTiF pipeline and database for studying protein motif evolution in a structural context
Paul de Boissier, Nathaniel Zweig, Bianca H. Habermann
bioRxiv 2022.08.29.505684; doi: https://doi.org/10.1101/2022.08.29.505684

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 (4866)
  • Biochemistry (10821)
  • Bioengineering (8068)
  • Bioinformatics (27381)
  • Biophysics (14030)
  • Cancer Biology (11165)
  • Cell Biology (16106)
  • Clinical Trials (138)
  • Developmental Biology (8808)
  • Ecology (13332)
  • Epidemiology (2067)
  • Evolutionary Biology (17399)
  • Genetics (11705)
  • Genomics (15963)
  • Immunology (11061)
  • Microbiology (26168)
  • Molecular Biology (10680)
  • Neuroscience (56746)
  • Paleontology (422)
  • Pathology (1737)
  • Pharmacology and Toxicology (3012)
  • Physiology (4569)
  • Plant Biology (9669)
  • Scientific Communication and Education (1617)
  • Synthetic Biology (2699)
  • Systems Biology (6997)
  • Zoology (1515)