[hpc-announce] Special Issue on "High-Performance Computing and Big Data in Omics-based Medicine"

[Sandra Gesing]

CALL FOR PAPERS


******************************************************************************
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: ivan.merelli at itb.cnr.it<mailto:ivan.merelli at itb.cnr.it>

Dr. Daniele D’Agostino
Institute for Applied Mathematics and Information Technologies
National Research Council of Italy
Genova, Italy
E-mail: dago at ge.imati.cnr.it<mailto:dago at ge.imati.cnr.it>

Dr. Horacio Pérez-Sánchez
Computer Science Department
Catholic University of Murcia (UCAM)
Murcia, Spain
E-mail: hperez at ucam.edu<mailto:sandra.gesing at nd.edu>

Dr. Sandra Gesing
Center for Research Computing
University of Notre Dame
Indiana, USA
E-mail: sandra.gesing at nd.edu<mailto:sandra.gesing at nd.edu>