• Follow us
CGSI
  • Home
  • About
  • Schedule
  • Application
  • Resources
    • In The News
    • Videos
    • CGSI 2022
    • CGSI 2021/RECOMB
    • CGSI 2021
    • CGSI 2020
    • CGSI 2020/RECOMB
    • CGSI 2019
    • CGWI 2019
    • CGSI 2018
    • CGWI 2018
    • CGSI 2017
    • CGSI 2016
  • FAQ
  • Home
  • About
  • Schedule
  • Application
  • Resources
    • - In The News
    • - Videos
    • - CGSI 2022
    • - CGSI 2021/RECOMB
    • - CGSI 2021
    • - CGSI 2020
    • - CGSI 2020/RECOMB
    • - CGSI 2019
    • - CGWI 2019
    • - CGSI 2018
    • - CGWI 2018
    • - CGSI 2017
    • - CGSI 2016
  • FAQ

John Novembre | Computational tools for understanding population structure in genetic variation data | CGSI 2017

Date:July 19, 2017Posted By:Duke Hong
John Novembre | Computational tools for understanding population structure in genetic variation data | CGSI 2017

07/19/2017 @ 09:15-10:00
Tutorial by John Novembre
Computational tools for understanding population structure in genetic variation data
1. Novembre, J. and Stephens, M., 2008. Interpreting principal component analyses of spatial population genetic variation. Nature genetics, 40(5), pp.646-649.
2. Alexander, D.H., Novembre, J. and Lange, K., 2009. Fast model-based estimation of ancestry in unrelated individuals. Genome research, 19(9), pp.1655-1664.
3. Yang, W.Y., Novembre, J., Eskin, E. and Halperin, E., 2012. A model-based approach for analysis of spatial structure in genetic data. Nature genetics, 44(6), pp.725-731.
4. Petkova, D., Novembre, J. and Stephens, M., 2015. Visualizing spatial population structure with estimated effective migration surfaces. Nature Publishing Group.
5. Novembre, J. and Peter, B.M., 2016. Recent advances in the study of fine-scale population structure in humans. Current Opinion in Genetics & Development, 41, pp.98-105.

Prev Post
Next Post

Funded by NIH since 2016 – Grant GM112625

IN PARTNERSHIP WITH EDMOND J. SAFRA CENTER FOR BIOINFORMATICS:

AND THE ARTIFICIAL INTELLIGENCE/MACHINE LEARNING CONSORTIUM TO ADVANCE HEALTH EQUITY AND RESEARCHER DIVERSITY (AIM-AHEAD):

AIM AHEAD
Tweets by UCLA_CGSI
Developed by Think Up Themes Ltd. Powered by WordPress.