Rodrigo Cánovas
L.I.R.M.M. & Institut Biologie Computationnelle,
Universite de Montpellier, CNRS F-34392 Montpellier
Cedex 5, France.
Alistair Moffat
Department of Computing and Information Systems
The University of Melbourne,
Victoria 3010, Australia.
Andrew Turpin
Department of Computing and Information Systems
The University of Melbourne,
Victoria 3010, Australia.
Results: We describe CSAM (Compressed SAM format), a compression approach offering lossless and lossy compression for SAM files. The structures and techniques proposed are suitable for representing SAM files, as well as supporting fast access to the compressed information. They generate more compact lossless representations than BAM, which is currently the preferred lossless compressed SAM-equivalent format; and are self-contained, that is, they do not depend on any external resources to compress or decompress SAM files.
Availability: An implementation is available at https://github.com/rcanovas/libCSAM.