[hpc-announce] CFP - Research Topic on Scalable Bioinformatics: Methods, Software Tools, and Hardware Architectures

[n.alachiotis at utwente.nl]

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

URL: https://www.frontiersin.org/research-topics/13815/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

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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