Next generation sequencing and other high‐throughput experimental techniques of recent
decades have driven the exponential growth in publicly available molecular and clinical …

Bioinformatics is challenged by the fact that traditional analysis tools have difficulty in
processing large-scale data from high-throughput sequencing. The open source Apache …

The discovery of prostate cancer biomarkers has been boosted by the advent of next‐
generation sequencing (NGS) technologies. Nevertheless, many challenges still exist in …

Background Research in genetics has developed rapidly recently due to the aid of next
generation sequencing (NGS). However, massively-parallel NGS produces enormous …

Abstract Next-Generation Sequencing (NGS) is very helpful for conducting
DeoxyriboNucleic Acid (DNA) Sequencing. DNA sequencing is the process for determining …

Since the early days of the Human Genome Project, data management has been recognized
as a key challenge for modern molecular biology research. By the end of the nineties …

Bioinformatics is in a dilemma that traditional analysis tools work hard on the large-scale
data from the high-throughout sequencing. In recent years, the open source Apache Hadoop …

Abstract Next-Generation Sequencing technologies are generating a huge amount of
genetic data that need to be mapped and analyzed. Single machine sequence alignment …

Cloud computing has emerged rapidly as an exciting new paradigm that offers a challenging
model of computing and services. Leveraging cloud computing technology, bioinformatics …

A large number of reads generated by the next generation sequencing platform will contain
many repetitive subsequences. Effective localizing and identifying genomic regions …