[hpc-announce] Call For Papers - Scalable Bioinformatics: Methods, Software Tools, and Hardware Architectures

[Nikolaos Alachiotis]

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Call For Papers - Frontiers in Genetics - Research Topic on Scalable
Bioinformatics: Methods, Software Tools, and Hardware Architectures

Guest Editors: Dr. Nikolaos Alachiotis (University of Twente),

Dr. Tze Meng Low (Carnegie Mellon University), and

Dr. Pavlos Pavlidis (Foundation for Research and Technology - Hellas)

The field of Bioinformatics is dominated by resource-demanding
kernels. This has attracted the attention of the computer engineering
community to such a great extent that the well-known Smith-Waterman
pairwise sequence alignment algorithm frequently serves as one of the
test applications to demonstrate new engineering concepts in
accelerator platforms. Yet, most performance-driven innovations for
Bioinformatics problems frequently remain at the basic-research level.

This Research Topic aspires to connect computational problems in the
fields of Bioinformatics and Computational Biology with software and
hardware solutions from the fields of Computer Science and Computer
Engineering. It is now open to receive submissions of both Original
Research and Review articles that address existing challenges and
present solutions.

Computational life sciences areas of interest include (but are not limited to):

-   Sequence alignment

-   Phylogenetics

-   Population Genetics

-   Omics tools and databases

-   Microbes and microbiomes

-   Computational Epidemiology

-   Computational Neuroscience

Computer science and engineering areas of interest include (but are
not limited to):

-   Parallel and distributed algorithms

-   Data-aware and out-of-core techniques

-   Parallel computer architectures (multicore, manycore, GPU, FPGA, SoC)

Submission Deadline: October 16, 2020
URL: https://www.frontiersin.org/research-topics/13815/scalable-bioinformatics-methods-software-tools-and-hardware-architectures

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Nikolaos Alachiotis

Assistant Professor, Computer Architecture for Embedded Systems (CAES)
Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS)
University of Twente