The genomedata format for storing large-scale functional genomics data

Abstract

Summary: We present a format for efficient storage of multiple tracks of numeric data anchored to a genome. The format allows fast random access to hundreds of gigabytes of data, while retaining a small disk space footprint. We have also developed utilities to load data into this format. We show that retrieving data from this format is more than 2900 times faster than a naive approach using wiggle fileson.edu/ proj/genomedata/ under the GNU General Public License. © The Author(s) 2010. Published by Oxford University Press.