De Novo NGS Data Compression

Gaëtan Benoit (1) , Claire Lemaitre (1) , Guillaume Rizk (1) , Erwan Drezen (1) , Dominique Lavenier (1)

1 GenScale - Scalable, Optimized and Parallel Algorithms for Genomics

This chapter deals with the compression of genomic data without reference genomes. It presents various techniques which have been specifically developed to compress sequencing data in lossless or lossy modes. The chapter also provides an evaluation of different NGS data compressor tools.

Mots clés: NGS Next Generation Sequencing; Compression Techniques

Domaines: Bio-informatique [q-bio.QM]

Gaëtan Benoit, Claire Lemaitre, Guillaume Rizk, Erwan Drezen, Dominique Lavenier. De Novo NGS Data Compression. Mourad Elloumi. Algorithms for Next-Generation Sequencing Data, Springer, pp.91-115, 2017, 978-3-319-59826-0. ⟨10.1007/978-3-319-59826-0_4⟩. ⟨hal-01633718⟩