Call for Papers; Special Issue on “High-Performance Computing and Big Data in Omics-based Medicine”

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@itb.cnr.it

 

Dr. Daniele D’Agostino

Institute for Applied Mathematics and Information Technologies

National Research Council of Italy

Genova, Italy

E-mail: dago@ge.imati.cnr.it

 

Dr. Horacio Pérez-Sánchez

Computer Science Department

Catholic University of Murcia (UCAM)

Murcia, Spain

E-mail: hperez@ucam.edu

 

Dr. Sandra Gesing

Center for Research Computing

University of Notre Dame

Indiana, USA

E-mail: sandra.gesing@nd.edu