The Genomedata format for storing large-scale functional genomics data.
CONCLUSIONS
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.


METHODS
Reference implementation in Python and C components available at http://noble.gs.washington.edu/proj/genomedata/ under the GNU General Public License.
Hoffman
Michael M
MM
Department of Genome Sciences, University of Washington, PO Box 355065, Seattle, WA 98195-5065, USA.
Buske
Orion J
OJ
Noble
William Stafford
WS
D030541:Databases, Genetic; D016678:Genome; D023281:Genomics / Q000379:methods*; D012984:Software