A fast algorithm and a new R package for visualization of genome-wide summary statistics

被引:0
|
作者
Paria, Soumya Subhra [1 ]
Rahman, Sarthok Rasique [2 ]
Adhikari, Kaustubh [1 ]
机构
[1] Open Univ, Milton Keynes, Bucks, England
[2] Univ Alabama, Tuscaloosa, AL 35487 USA
关键词
D O I
暂无
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
引用
收藏
页码:26 / 27
页数:2
相关论文
共 50 条
  • [41] QTLRel: an R Package for Genome-wide Association Studies in which Relatedness is a Concern
    Cheng, Riyan
    Abney, Mark
    Palmer, Abraham A.
    Skol, Andrew D.
    BMC GENETICS, 2011, 12
  • [42] methylKit: a comprehensive R package for the analysis of genome-wide DNA methylation profiles
    Altuna Akalin
    Matthias Kormaksson
    Sheng Li
    Francine E Garrett-Bakelman
    Maria E Figueroa
    Ari Melnick
    Christopher E Mason
    Genome Biology, 13 (10)
  • [43] gwid: an R package and Shiny application for Genome-Wide analysis of IBD data
    Mahmoudiandehkordi, Soroush
    Maadooliat, Mehdi
    Schrodi, Steven J.
    BIOINFORMATICS ADVANCES, 2024, 4 (01):
  • [44] GWAtoolbox: an R package for fast quality control and handling of genome-wide association studies meta-analysis data
    Fuchsberger, Christian
    Taliun, Daniel
    Pramstaller, Peter P.
    Pattaro, Cristian
    BIOINFORMATICS, 2012, 28 (03) : 444 - 445
  • [45] Multivariate Analyses of Summary Statistics from Genome-Wide Association Studies: The Role of Covariance Structures
    Pirinen, Matti
    Benner, Christian
    HUMAN HEREDITY, 2016, 81 (04) : 212 - 212
  • [46] geneHapR: an R package for gene haplotypic statistics and visualization
    Zhang, Renliang
    Jia, Guanqing
    Diao, Xianmin
    BMC BIOINFORMATICS, 2023, 24 (01)
  • [47] geneHapR: an R package for gene haplotypic statistics and visualization
    Renliang Zhang
    Guanqing Jia
    Xianmin Diao
    BMC Bioinformatics, 24
  • [48] Is useful research data usually shared? An investigation of genome-wide association study summary statistics
    Thelwall, Mike
    Munaf, Marcus
    Mas-Bleda, Amalia
    Stuart, Emma
    Makita, Meiko
    Weigert, Verena
    Keene, Chris
    Khan, Nushrat
    Drax, Katie
    Kousha, Kayvan
    PLOS ONE, 2020, 15 (02):
  • [49] Manhattan plus plus : displaying genome-wide association summary statistics with multiple annotation layers
    Grace, Christopher
    Farrall, Martin
    Watkins, Hugh
    Goel, Anuj
    BMC BIOINFORMATICS, 2019, 20 (01)
  • [50] Comparison of Multiple Phenotype Association Tests Using Summary Statistics in Genome-wide Association Studies
    Sitlani, Colleen M.
    Baldassari, Antoine R.
    Highland, Heather M.
    Hodonsky, Chani J.
    McKnight, Barbara
    Avery, Christy L.
    GENETIC EPIDEMIOLOGY, 2019, 43 (07) : 909 - 910