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****************************************************************************** Special Issue on "High-Performance Computing and Big Data in Omics-based Medicine" Biomed Research International, Hindawi Publishing Group http://www.hindawi.com/journals/bmri/si/438151/cfp/ Manuscript Due to Friday, 7th February 2014 ****************************************************************************** Omics sciences are able to produce, with the modern high-throughput techniques of analytic chemistry and molecular biology, a huge quantity of data. Next Generation Sequencing analysis of diseased somatic cells, genome wide annotations of biomarkers, systems pathology studies, discovering of novel compounds are examples of the great advantages that high-performance computing can provide to omics science, providing a fast translation of biomolecular results into the clinical practice. This special issue is especially interested in parallel implementations of systems and algorithms, use of case descriptions of on-Chip and distributed platforms for the biomedical community, or successful experiences of large-scale analysis and simulations in the field of high-performance computational biology. Potential topics include, but are not limited to: - Biological databases for big data management - HPC, grid, and cloud computing for omics sciences - Next generation sequencing data analysis - Genomics variants analysis and classification - Knowledge management for genomics and proteomics - Machine learning for big data analysis - Parallel algorithms for omics sciences - Genome wide identification of regulation patterns - Co-expression and coregulation gene expression analysis - Systems biology simulations and pathway analysis - Infrastructures for big data integration in omics sciences - Novel approaches for biomarkers identification - Large-scale computations for discovering novel drugs - Structural biology applications for modeling and simulations Biomed Research International is an open access journal, which means that all published articles are made freely available online without a subscription, and authors retain the copyright of their work. Moreover, all articles published in the journal are made freely available on PubMed Central at the time of publication. The most recent Impact Factor for Biomed Research International is 2.880 according to 2012 Journal Citation Reports released by Thomson Reuters (ISI) in 2013. Before submission, authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/bmri/siguidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/bmri/computational.biolo/bigdata/ according to the following timetable: Manuscript Due: Friday, **7th February 2014** First Round of Reviews: Friday, 2 May 2014 Publication Date: Friday, 27 June 2014 Contacts: Dr. Ivan Merelli Institute for Biomedical Technologies National Research Council of Italy Milano, Italy E-mail: [email protected]<mailto:[email protected]> Dr. Daniele D’Agostino Institute for Applied Mathematics and Information Technologies National Research Council of Italy Genova, Italy E-mail: [email protected]<mailto:[email protected]> Dr. Horacio Pérez-Sánchez Computer Science Department Catholic University of Murcia (UCAM) Murcia, Spain E-mail: [email protected]<mailto:[email protected]> Dr. Sandra Gesing Center for Research Computing University of Notre Dame Indiana, USA E-mail: [email protected]<mailto:[email protected]> ******************************************************************************** The hpc-announce mailing list has been setup to have a common mailing list to share information with respect to upcoming HPC related events. 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