henhaobio
Sign in

bioRxivBioinformaticsPreprint

Deep FASTQ and BAM co-compression in Genozip 15

Divon Mordechai LaniD, Daniel HughesiD, Bastien LlamasiD

PDFDOI

Abstract

We introduce Genozip Deep, a method for losslessly co-compressing FASTQ and BAM files. Benchmarking demonstrates improvements of 75% to 96% versus the already-compressed source files, translating to 2.3X to 6.8X better compression than current state-of-the-art algorithms that compress FASTQ and BAM separately. The Deep method is independent of the underlying FASTQ and BAM compressors, and here we present its implementation in Genozip, an established genomic data compression software.

Citations
0

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISLan '22Tkachenko '26Nazari '24Roguski '18Roberson '25Deorowicz '20
83% semantic matchBioinformatics
Divon Mordechai Lan, Bastien Llamas·bioRxiv·Sep 12, 2022· 2 citations