There has been an exponential growth in the performance and output of sequencing
technologies (omics data) with full genome sequencing now producing gigabases of reads …

This paper conducts a detailed survey on the use of FPGA-based reconfigurable computing
platforms for a wide range of sequence and structural bioinformatics applications, with …

Computational genomics plays an important role in health care, but is computationally
challenging as most genomics applications use large data sets and are both computation …

A factor graph (FG) can be considered as a unified model combining a Bayesian network
(BN) and a Markov random field (MRF). The inference mechanism of a FG can be used to …

The function of a newly sequenced gene can be discovered by determining its sequence
homology with known proteins. BLAST is the most extensively used sequence analysis …

In the era of big data, the demand for secure data storage is rapidly increasing. To
accelerate the complex encryption computation, both specific instructions and hardware …

The use of GPGPU programming paradigm (running CUDA-enabled algorithms on GPU
cards) in Bioinformatics showed promising results [1]. As such a similar approach can be …

The computational and data handling challenges in big data are immense yet a market is
steadily growing traditionally supported by technologies such as Hadoop for management …

Factor graphs are probabilistic graphical frameworks for modeling complex and dynamic
systems. They can be used in a broad range of application domains, from machine learning …