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

Increasing the Efficiency of Genome-wide Association Mapping via Hidden Markov Models

Hong Gao, Hua Tang, Carlos D. Bustamante
doi: https://doi.org/10.1101/039099
Hong Gao
1Stanford Genome Technology Center and Department of Biochemistry, Stanford University, Stanford, CA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hua Tang
2Department of Genetics, Stanford University, Stanford, CA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Carlos D. Bustamante
2Department of Genetics, Stanford University, Stanford, CA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: cdbustam@stanford.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Article usage

Article usage: January 2018 to June 2023

AbstractFullPdf
Jan 20181006
Feb 20181201
Mar 20181702
Apr 20181404
May 20182202
Jun 20181301
Jul 20181401
Aug 20183002
Sep 20182201
Oct 20181405
Nov 20181403
Dec 20181103
Jan 20191503
Feb 20191805
Mar 201921159
Apr 201912875
May 20198243
Jun 20197187
Jul 20191936
Aug 201914183
Oct 201924135
Nov 201919134
Dec 20191973
Jan 2020211915
Feb 2020351305
Mar 202022307
May 20201495
Jun 202012410
Jul 2020602
Aug 2020954
Sep 20201664
Oct 2020875
Nov 20201193
Dec 2020824
Jan 2021835
Feb 2021261
Mar 2021541
Apr 2021730
May 2021103
Jun 2021785
Jul 20213310
Aug 2021824
Sep 2021906
Oct 202110213
Nov 20216511
Dec 2021411
Jan 2022200
Feb 2022611
Mar 2022411
Apr 20221751
May 2022516
Jun 2022202
Jul 2022911
Aug 2022306
Sep 2022307
Oct 2022802
Nov 2022407
Dec 20221103
Jan 2023533
Feb 2023521
Mar 2023600
Apr 2023503
May 2023307
Jun 2023100
Back to top
PreviousNext
Posted February 09, 2016.
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.
Increasing the Efficiency of Genome-wide Association Mapping via Hidden Markov Models
(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
Increasing the Efficiency of Genome-wide Association Mapping via Hidden Markov Models
Hong Gao, Hua Tang, Carlos D. Bustamante
bioRxiv 039099; doi: https://doi.org/10.1101/039099
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Increasing the Efficiency of Genome-wide Association Mapping via Hidden Markov Models
Hong Gao, Hua Tang, Carlos D. Bustamante
bioRxiv 039099; doi: https://doi.org/10.1101/039099

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

  • Genetics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4397)
  • Biochemistry (9623)
  • Bioengineering (7118)
  • Bioinformatics (24928)
  • Biophysics (12658)
  • Cancer Biology (9985)
  • Cell Biology (14395)
  • Clinical Trials (138)
  • Developmental Biology (7986)
  • Ecology (12141)
  • Epidemiology (2067)
  • Evolutionary Biology (16021)
  • Genetics (10947)
  • Genomics (14774)
  • Immunology (9896)
  • Microbiology (23730)
  • Molecular Biology (9501)
  • Neuroscience (51037)
  • Paleontology (370)
  • Pathology (1544)
  • Pharmacology and Toxicology (2690)
  • Physiology (4035)
  • Plant Biology (8687)
  • Scientific Communication and Education (1512)
  • Synthetic Biology (2404)
  • Systems Biology (6453)
  • Zoology (1349)