genozip: a fast and efficient compression tool for VCF files | Zendy

Divon Lan | Zendy; Raymond Tobler | Zendy; Yassine Souilmi | Zendy; Bastien Llamas | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

genozip: a fast and efficient compression tool for VCF files

Author(s) -

Divon Lan,

Raymond Tobler,

Yassine Souilmi,

Bastien Llamas

Publication year - 2020

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/btaa290

Subject(s) - lossless compression , computer science , data compression , compression (physics) , field (mathematics) , lossy compression , compression ratio , computer engineering , data mining , operating system , algorithm , engineering , materials science , mathematics , automotive engineering , pure mathematics , composite material , internal combustion engine

Motivation genozip is a new lossless compression tool for Variant Call Format (VCF) files. By applying field-specific algorithms and fully utilizing the available computational hardware, genozip achieves the highest compression ratios amongst existing lossless compression tools known to the authors, at speeds comparable with the fastest multi-threaded compressors. Availability and implementation genozip is freely available to non-commercial users. It can be installed via conda-forge, Docker Hub, or downloaded from github.com/divonlan/genozip. Supplementary information Supplementary data are available at Bioinformatics online.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research