title: Compressing resequencing data with GReEn.
abstract: 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.
authors.affiliation: IEETA/DETI, University of Aveiro, Aveiro, Portugal.
authors.forename: Armando J
authors.initials: AJ
authors.lastname: Pinho
authors.forename: Diogo
authors.initials: D
authors.lastname: Pratas
authors.forename: Sara P
authors.initials: SP
authors.lastname: Garcia
mesh_terms: D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D006801:Humans; D015233:Models, Statistical; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software