Open AccessMeffil: efficient normalization and analysis of very large DNA methylation datasets
Author(s) -
Josine L. Min,
Gibran Hemani,
George Davey Smith,
Caroline L. Relton,
Matthew Suderman
Publication year - 2018
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/bty476
Subject(s) - normalization (sociology) , dna methylation , computational biology , computer science , dna , genetics , biology , gene , gene expression , sociology , anthropology
DNA methylation datasets are growing ever larger both in sample size and genome coverage. Novel computational solutions are required to efficiently handle these data.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom