Performance evaluation of lossy quality compression algorithms for RNA-seq data.

ABSTRACT:

Background

Recent advancements in high-throughput sequencing technologies have generated an unprecedented amount of genomic data that must be stored, processed, and transmitted over the network for sharing. Lossy genomic data compression, especially of the base quality values of sequencing data, is emerging as an efficient way to handle this challenge due to its superior compression performance compared to lossless compression methods. Many lossy compression algorithms have been developed for and evaluated using DNA sequencing data. However, whether these algorithms can be used on RNA sequencing (RNA-seq) data remains unclear.

Results

In this study, we evaluated the impacts of lossy quality value compression on common RNA-seq data analysis pipelines including expression quan

SUBMITTER: Yu R 

PROVIDER: S-EPMC7372835 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature