DNA sequencing has moved into the realm of Big Data due to the rapid development of high-
throughput, low cost Next-Generation Sequencing (NGS) technologies. Sequential data …

Abstract Background As Next-Generation Sequencing data becomes available, existing
hardware environments do not provide sufficient storage space and computational power to …

With the increasing throughput of modern sequencing instruments, the cost of storing and
transmitting sequencing data has also increased dramatically. Although many tools have …

Motivation The data deluge of high-throughput sequencing (HTS) has posed great
challenges to data storage and transfer. Many specific compression tools have been …

Background Genomic sequencing reads compressors are essential for balancing high-
throughput sequencing short reads generation speed, large-scale genomic data sharing …

With the advent of next-generation sequencing technology, sequencing costs have fallen
sharply compared to the previous sequencing technologies. Genomic big data has become …

Motivation Over the past decades, vast amounts of genome sequencing data have been
produced, requiring an enormous level of storage capacity. The time and resources needed …

Motivation: The storage and transmission of high-throughput sequencing data consumes
significant resources. As our capacity to produce such data continues to increase, this …

A major challenge of current high-throughput sequencing experiments is not only the
generation of the sequencing data itself but also their processing, storage and transmission …

Compression has become a critical step in storing next-generation sequencing (NGS) data
sets because of both the increasing size and decreasing costs of such data. Recent …