================================ CALL FOR PAPERS ===================================== BioMed Research International Special issue on High Performance Computing for Biological Data Analysis and Molecular Dynamics ====================================================================================== http://www.hindawi.com/journals/bmri/si/149743/cfp ===================================================================================== 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/journals/bmri/contents/ without the need for a subscription. All published articles will be made available on PubMed Central and indexed in PubMed at the time of publication. The most recent Impact Factor for BioMed Research International is 2.706 according to 2013 Journal Citation Reports released by Thomson Reuters (ISI) in 2014. Authors can submit their manuscripts via the Manuscript Tracking System at http://mts.hindawi.com/submit/journals/bmri/computational.biology/hpca and the call-for-papers PDF file can be downloaded from http://downloads.hindawi.com/journals/bmri/si/149743.pdf. 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