Highlights•Analysis of massive NGS datasets poses difficult computational challenges.•Big
data algorithms are often adapted for NGS analysis.•HPC becomes pivotal as NGS …

Memory bandwidth and latency constitutes a major performance bottleneck for many data-
intensive applications. While high-locality access patterns take advantage of the deep cache …

A ball detection and tracking approach in real soccer game is proposed in this paper. In view
of difficulties of direct detection, an indirect strategy based on non-ball elimination is applied …

Current technologies are much more advanced, and they greatly outpace storage,
organizing, analyzing, and extracting capabilities. The rapid and cost‐effective generation of …

Abstract Motivation Next Generation Sequencing (NGS) technology enables identification of
microbial genomes from massive amount of human microbiomes more rapidly and cheaper …

FM-index is a compact data structure suitable for fast matches of short reads to large
reference genomes. The matching algorithm using this index exhibits irregular memory …

Since their emergence around 2006, Next-Generation Sequencing technologies have been
revolutionizing biological and medical research. Obtaining instantly an extensive amount of …

The FM-index is a data structure used in genomics for exact search of input sequences over
large reference genomes. Algorithms based on the FM-index show an irregular memory …

The availability and amount of sequenced genomes have been rapidly growing in recent
years because of the adoption of next-generation sequencing (NGS) technologies that …

A critical problem for computational genomics is the problem of de novo genome assembly:
the development of robust scalable methods for transforming short randomly sampled …