Pinho Armando J, Pratas Diogo, Garcia Sara P
IEETA/DETI, University of Aveiro, Aveiro, Portugal.
Methods Mol Biol. 2013;1038:27-37. doi: 10.1007/978-1-62703-514-9_2.
Genome sequencing centers are flooding the scientific community with data. A single sequencing machine can nowadays generate more data in one day than any existing machine could have produced throughout the entire year of 2005. Therefore, the pressure for efficient sequencing data compression algorithms is very high and is being felt worldwide. Here, we describe GReEn (Genome Resequencing Encoding), a compression tool recently proposed for compressing genome resequencing data using a reference genome sequence.
