GWAMA: Software Tool for Meta-analysis and Visualization of Whole Genome Association Data

被引：0
|
作者：
Magi, Reedik [1 ]
Morris, Andrew P. [1 ]
机构：
[1] Oxford Ctr Diabet Endocrinol & Metab, Wellcome Trust Ctr Human Genet, Oxford, England
来源：
GENETIC EPIDEMIOLOGY | 2009年 / 33卷 / 08期
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：
112
引用
收藏
页码：784 / 784
页数：1
相关论文
共 50 条
  • [21] MAVEN: a tool for visualization and functional analysis of genome-wide association results
    Narayanan, Kanchana
    Li, Jing
    BIOINFORMATICS, 2010, 26 (02) : 270 - 272
  • [22] The Galaxy Plot: A New Visualization Tool for Bivariate Meta-Analysis Studies
    Hong, Chuan
    Duan, Rui
    Zeng, Lingzhen
    Hubbard, Rebecca A.
    Lumley, Thomas
    Riley, Richard D.
    Chu, Haitao
    Kimmel, Stephen E.
    Chen, Yong
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2020, 189 (08) : 861 - 869
  • [23] sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies
    Nasirigerdeh, Reza
    Torkzadehmahani, Reihaneh
    Matschinske, Julian
    Frisch, Tobias
    List, Markus
    Spaeth, Julian
    Weiss, Stefan
    Voelker, Uwe
    Pitkaenen, Esa
    Heider, Dominik
    Wenke, Nina Kerstin
    Kaissis, Georgios
    Rueckert, Daniel
    Kacprowski, Tim
    Baumbach, Jan
    GENOME BIOLOGY, 2022, 23 (01)
  • [24] sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies
    Reza Nasirigerdeh
    Reihaneh Torkzadehmahani
    Julian Matschinske
    Tobias Frisch
    Markus List
    Julian Späth
    Stefan Weiss
    Uwe Völker
    Esa Pitkänen
    Dominik Heider
    Nina Kerstin Wenke
    Georgios Kaissis
    Daniel Rueckert
    Tim Kacprowski
    Jan Baumbach
    Genome Biology, 23
  • [25] msPIPE: a pipeline for the analysis and visualization of whole-genome bisulfite sequencing data
    Kim, Heesun
    Sim, Mikang
    Park, Nayoung
    Kwon, Kisang
    Kim, Junyoung
    Kim, Jaebum
    BMC BIOINFORMATICS, 2022, 23 (01)
  • [26] Meta-DiSc: A software for meta-analysis of test accuracy data
    Zamora J.
    Abraira V.
    Muriel A.
    Khan K.
    Coomarasamy A.
    BMC Medical Research Methodology, 6 (1)
  • [27] msPIPE: a pipeline for the analysis and visualization of whole-genome bisulfite sequencing data
    Heesun Kim
    Mikang Sim
    Nayoung Park
    Kisang Kwon
    Junyoung Kim
    Jaebum Kim
    BMC Bioinformatics, 23
  • [28] Data acquisition for meta-analysis of genome-wide linkage studies using the genome search meta-analysis method
    Forabosco, Paola
    Ng, Mandy Y. M.
    Bouzigon, Emmanuelle
    Fisher, Sheila A.
    Levinson, Douglas F.
    Lewis, Cathryn M.
    HUMAN HEREDITY, 2007, 64 (01) : 74 - 81
  • [29] Meta-analysis of genome-wide association data for weight from over 32000 individuals
    Randall, J. C.
    Lindgren, C. M.
    Speliotes, E. K.
    Li, S.
    DIABETOLOGIA, 2008, 51 : S9 - S10
  • [30] Meta-analysis of genome-wide association data of bipolar disorder and major depressive disorder
    Liu, Y.
    Blackwood, D. H.
    Caesar, S.
    de Geus, E. J. C.
    Farmer, A.
    Ferreira, M. A. R.
    Ferrier, I. N.
    Fraser, C.
    Gordon-Smith, K.
    Green, E. K.
    Grozeva, D.
    Gurling, H. M.
    Hamshere, M. L.
    Heutink, P.
    Holmans, P. A.
    Hoogendijk, W. J.
    Hottenga, J. J.
    Jones, L.
    Jones, I. R.
    Kirov, G.
    Lin, D.
    McGuffin, P.
    Moskvina, V.
    Nolen, W. A.
    Perlis, R. H.
    Posthuma, D.
    Scolnick, E. M.
    Smit, A. B.
    Smit, J. H.
    Smoller, J. W.
    St Clair, D.
    van Dyck, R.
    Verhage, M.
    Willemsen, G.
    Young, A. H.
    Zandbelt, T.
    Boomsma, D. I.
    Craddock, N.
    O'Donovan, M. C.
    Owen, M. J.
    Penninx, B. W. J. H.
    Purcell, S.
    Sklar, P.
    Sullivan, P. F.
    MOLECULAR PSYCHIATRY, 2011, 16 (01) : 2 - 4
12345