CSAM: Compressed SAM format | Zendy

Rodrigo Cánovas | Zendy; Alistair Moffat | Zendy; Andrew Turpin | Zendy

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CSAM: Compressed SAM format

Author(s) -

Rodrigo Cánovas,

Alistair Moffat,

Andrew Turpin

Publication year - 2016

Publication title -

bioinformatics

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw543

Subject(s) - lossless compression , lossy compression , computer science , data compression , compression (physics) , file format , encoding (memory) , data mining , computer graphics (images) , algorithm , database , artificial intelligence , materials science , composite material

Next generation sequencing machines produce vast amounts of genomic data. For the data to be useful, it is essential that it can be stored and manipulated efficiently. This work responds to the combined challenge of compressing genomic data, while providing fast access to regions of interest, without necessitating decompression of whole files.

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