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 files.#R##N##R##N#Availability and Implementation: Reference implementation in Python and C components available at http://noble.gs.washington.edu/proj/genomedata/ under the GNU General Public License.#R##N##R##N#Contact: william-noble@uw.edu
['Michael M. Hoffman', 'Orion J. Buske', 'William Stafford Noble']
The Genomedata format for storing large-scale functional genomics data