FaStore: a space-saving solution for raw sequencing data | Zendy

Łukasz Roguski | Zendy; Idoia Ochoa | Zendy; Mikel Hernáez | Zendy; Sebastian Deorowicz | Zendy

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FaStore: a space-saving solution for raw sequencing data

Author(s) -

Łukasz Roguski,

Idoia Ochoa,

Mikel Hernáez,

Sebastian Deorowicz

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty205

Subject(s) - lossy compression , lossless compression , computer science , data compression , compression ratio , raw data , data mining , compression (physics) , encoding (memory) , computer engineering , algorithm , artificial intelligence , engineering , materials science , automotive engineering , composite material , programming language , internal combustion engine

The affordability of DNA sequencing has led to the generation of unprecedented volumes of raw sequencing data. These data must be stored, processed and transmitted, which poses significant challenges. To facilitate this effort, we introduce FaStore, a specialized compressor for FASTQ files. FaStore does not use any reference sequences for compression and permits the user to choose from several lossy modes to improve the overall compression ratio, depending on the specific needs.

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