title: The Genomedata format for storing large-scale functional genomics data.
abstract: 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.
authors.affiliation: Department of Genome Sciences, University of Washington, PO Box 355065, Seattle, WA 98195-5065, USA.
authors.forename: Michael M
authors.initials: MM
authors.lastname: Hoffman
authors.forename: Orion J
authors.initials: OJ
authors.lastname: Buske
authors.forename: William Stafford
authors.initials: WS
authors.lastname: Noble
mesh_terms: D030541:Databases, Genetic; D016678:Genome; D023281:Genomics / Q000379:methods*; D012984:Software