With the rapid development of next-generation sequencing technology, ever-increasing
quantities of genomic data pose a tremendous challenge to data processing. Therefore …

High-throughput experiments enable researchers to explore complex multifactorial diseases
through large-scale analysis of omics data. Challenges for such high-dimensional data sets …

Next-generation sequencing (NGS) technologies have led to a huge amount of genomic
data that need to be analyzed and interpreted. This fact has a huge impact on the DNA …

This paper introduces a new combination of software and hardware PIM (Process-in-
Memory) architecture to accelerate the variant calling genomic process. PIM translates into …

The advent of digital medical data has brought an exponential increase in information
available for each patient, allowing for novel knowledge generation methods to emerge …

This review examines two important aspects that are central to modern big data
bioinformatics analysis–software scalability and validity. We argue that not only are the …

Abstract Background Use of the Genome Analysis Toolkit (GATK) continues to be the
standard practice in genomic variant calling in both research and the clinic. Recently the …

In recent years, the cost of NGS (Next Generation Sequencing) technology has dramatically
reduced, making it a viable method for diagnosing genetic diseases. The large amount of …

Sequence alignment is one of the most important components in the Bioinformatics research
field. It is of great significance to discover the functional structure and genetic information of …

Biobanks store and catalog human biological material that is increasingly being digitized
using next-generation sequencing (NGS). There is, however, a computational bottleneck, as …