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

fastman: A fast algorithm for visualizing GWAS results using Manhattan and Q-Q plots

Soumya Subhra Paria, View ORCID ProfileSarthok Rasique Rahman, View ORCID ProfileKaustubh Adhikari
doi: https://doi.org/10.1101/2022.04.19.488738
Soumya Subhra Paria
aThe Open University, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sarthok Rasique Rahman
aThe Open University, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Sarthok Rasique Rahman
Kaustubh Adhikari
aThe Open University, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Kaustubh Adhikari
  • For correspondence: k.adhikari@ucl.ac.uk
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Data/Code
  • Preview PDF
Loading
  • https://github.com/kaustubhad/fastman

Back to top
PreviousNext
Posted April 19, 2022.
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.
fastman: A fast algorithm for visualizing GWAS results using Manhattan and Q-Q plots
(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
fastman: A fast algorithm for visualizing GWAS results using Manhattan and Q-Q plots
Soumya Subhra Paria, Sarthok Rasique Rahman, Kaustubh Adhikari
bioRxiv 2022.04.19.488738; doi: https://doi.org/10.1101/2022.04.19.488738
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
fastman: A fast algorithm for visualizing GWAS results using Manhattan and Q-Q plots
Soumya Subhra Paria, Sarthok Rasique Rahman, Kaustubh Adhikari
bioRxiv 2022.04.19.488738; doi: https://doi.org/10.1101/2022.04.19.488738

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 (4682)
  • Biochemistry (10357)
  • Bioengineering (7670)
  • Bioinformatics (26330)
  • Biophysics (13523)
  • Cancer Biology (10683)
  • Cell Biology (15438)
  • Clinical Trials (138)
  • Developmental Biology (8497)
  • Ecology (12820)
  • Epidemiology (2067)
  • Evolutionary Biology (16851)
  • Genetics (11399)
  • Genomics (15478)
  • Immunology (10616)
  • Microbiology (25207)
  • Molecular Biology (10220)
  • Neuroscience (54463)
  • Paleontology (401)
  • Pathology (1668)
  • Pharmacology and Toxicology (2897)
  • Physiology (4342)
  • Plant Biology (9243)
  • Scientific Communication and Education (1586)
  • Synthetic Biology (2557)
  • Systems Biology (6780)
  • Zoology (1466)