Saturday, May 22, 2010

The Genomedata format for storing large-scale functional genomics data

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.

Availability and Implementation: Reference implementation in Python and C components available at under the GNU General Public License.


(this Post content was reproduced from:, Via Bioinformatics - current issue.)