MZPAQ: a FASTQ data compression tool.

Published in: Source code for biology and medicine (2019)

Currently, MZPAQ's strength is its higher compression ratio as well as its compatibility with all major sequencing platforms. MZPAQ is more suitable when the size of compressed data is crucial, such as long-term storage and data transfer. More efforts will be made in the future to target other aspects such as compression speed and memory utilization.

Keyphrases

electronic health record
big data
working memory
single cell
machine learning
current status
deep learning