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

FAN-C: A Feature-rich Framework for the Analysis and Visualisation of C data

View ORCID ProfileKai Kruse, View ORCID ProfileClemens B. Hug, View ORCID ProfileJuan M. Vaquerizas
doi: https://doi.org/10.1101/2020.02.03.932517
Kai Kruse
1Max Planck Institute for Molecular Biomedicine, Roentgenstrasse 20, 48149 Muenster, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Kai Kruse
Clemens B. Hug
1Max Planck Institute for Molecular Biomedicine, Roentgenstrasse 20, 48149 Muenster, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Clemens B. Hug
Juan M. Vaquerizas
1Max Planck Institute for Molecular Biomedicine, Roentgenstrasse 20, 48149 Muenster, Germany
2MRC London Institute of Medical Sciences, Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, Du Cane Road, London W12 0NN, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Juan M. Vaquerizas
  • For correspondence: jmv@mpi-muenster.mpg.de
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Data/Code
  • Preview PDF
Loading
  • https://github.com/vaquerizaslab/fanc

Back to top
PreviousNext
Posted February 04, 2020.
Download PDF
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.
FAN-C: A Feature-rich Framework for the Analysis and Visualisation of C data
(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
FAN-C: A Feature-rich Framework for the Analysis and Visualisation of C data
Kai Kruse, Clemens B. Hug, Juan M. Vaquerizas
bioRxiv 2020.02.03.932517; doi: https://doi.org/10.1101/2020.02.03.932517
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
FAN-C: A Feature-rich Framework for the Analysis and Visualisation of C data
Kai Kruse, Clemens B. Hug, Juan M. Vaquerizas
bioRxiv 2020.02.03.932517; doi: https://doi.org/10.1101/2020.02.03.932517

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 (4116)
  • Biochemistry (8820)
  • Bioengineering (6523)
  • Bioinformatics (23469)
  • Biophysics (11798)
  • Cancer Biology (9216)
  • Cell Biology (13327)
  • Clinical Trials (138)
  • Developmental Biology (7440)
  • Ecology (11417)
  • Epidemiology (2066)
  • Evolutionary Biology (15160)
  • Genetics (10442)
  • Genomics (14050)
  • Immunology (9176)
  • Microbiology (22170)
  • Molecular Biology (8817)
  • Neuroscience (47600)
  • Paleontology (350)
  • Pathology (1429)
  • Pharmacology and Toxicology (2492)
  • Physiology (3733)
  • Plant Biology (8084)
  • Scientific Communication and Education (1437)
  • Synthetic Biology (2221)
  • Systems Biology (6039)
  • Zoology (1254)