Special Issue on Advances in Computational Methods for Genetic Diseases
28 April 2014
Call for Papers 

Genetic diseases are widely studied for the relevant impact on the human health. In the last years, a large amount of experimental data has been available. The identification of new strategies for elaborating such experimental data is becoming more and more necessary since the large amount of information can sometimes represent a real obstacle for the effective identification of relevant findings. The aim of the special issue is to review the recent advances about the research on computational methods concerning with genetic diseases. Potential topics include, but are not limited to: 

Computational and mathematical methods for the following: 
- Evaluating the pathogenicity of novel genetic variants 
- The evaluation of protein folding and/or protein-protein interactions in presence of genetic variants 
- Analysis of experimental data from next generation sequencing 
- Searching for variant/mutation databases for massive data analysis 
- Analysis of "omics" data 
- Analysis of complex diseases, namely, multifactorial and polygenic, for example, diabetes, hypertension   and dyslipidemia 
- Variant analysis from Genome Wide Association studies 
- Analysis of common genetic variants (i.e., SNPs, HLA genotypes, microsatellites) 
- Analysis of quantitative trait loci 
- The integration of genetic and nongenetic factors for prediction of disease predisposition 
- The identification of potential gene regulatory elements (i.e., binding of transcription factors, and miRNAs) 
- Analysis of gene expression data 
- Analysis of biological models of genetic diseases 

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/cmmm/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/cmmm/genet/ according to the following timetable: 

Manuscript Due        Friday, 19 September 2014 
First Round of Reviews        Friday, 12 December 2014 
Publication Date        Friday, 6 February 2015 

Lead Guest Editor 

Francesco Camastra, Department of Science and Technology, University of Naples Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy 
Guest Editors 

Roberto Amato, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK 

Maria D. Taranto, Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Via Sergio Pansini 5, 80131 Napoli, Italy 

Antonino Staiano, Department of Science and Technology, University of Naples, Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy