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BioMed Research International
Special issue on High Performance Computing for Biological Data Analysis and Molecular Dynamics
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Propelled by real-world challenging biological problems such as searching large-scale, ever-increasing biological databases, and tackling the flood of next generation sequencing data, computing has become an integral part of the research and development in bioinformatics and computational biology. These biological problems are usually compute-intensive, memory-intensive, or data-intensive and have therefore established strong needs for powerful hardware computing architectures and sophisticated high performance algorithms in order for efficient data management and analysis.
Moreover, molecular dynamics methods are an established mechanism for determining the equilibrium and transport properties of a classical many-body system. Today, molecular dynamics techniques are being used to simulate larger and more complex biological systems, in areas such as disease, vaccine, and drug research. This places increasing demands on high performance computing (HPC) resources.
We invite authors to submit original research and review articles that target biological data analysis and molecular dynamics problems. Papers must be related to the design and implementation of high performance algorithms and parallel computing systems for bioinformatics and computational biology.
Potential topics include, but are not limited to:
Bioinformatics databases
Computational genomics and metagenomics
Gene expression analysis with RNA-Seq and microarrays
Gene identification and annotation
Molecular evolution and phylogeny inference
Molecular dynamics simulation of biomolecules
Next generation sequencing (NGS)
Protein structure prediction and modeling
Big data solutions to biological applications
Cluster, grid, and cloud computing
Hardware accelerators such as GPUs, FPGAs, x86/SSE, and Xeon Phis
Energy-aware high performance biological applications
High performance algorithms for systems biology
Parallel algorithms and HPC architectures for biological applications
BioMed Research International is published using an open access publication model, meaning that all interested readers are able to freely access the journal online at http://www.hindawi.com/
Authors can submit their manuscripts via the Manuscript Tracking System athttp://mts.hindawi.com/submit/
Manuscript Due Friday, 24 July 2015
First Round of Reviews Friday, 16 October 2015
Publication Date Friday, 11 December 2015
Lead Guest Editor
Yongchao Liu, University of Mainz, Mainz, Germany
Guest Editors
Bertil Schmidt, Johannes Gutenberg University Mainz, Mainz, Germany
Weiguo Liu, Shandong University, Shandong, China
Jan Schröder, Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
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