z-logo
open-access-imgOpen Access
Efficient permutation-based genome-wide association studies for normal and skewed phenotypic distributions
Author(s) -
Maura John,
Markus J. Ankenbrand,
Carolin Artmann,
Jan A. Freudenthal,
Arthur Korte,
Dominik G. Grimm
Publication year - 2022
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btac455
Subject(s) - permutation (music) , genome wide association study , computer science , bonferroni correction , multiple comparisons problem , genetic association , false discovery rate , computational biology , data mining , algorithm , biology , statistics , genetics , mathematics , single nucleotide polymorphism , genotype , physics , acoustics , gene

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom