Computational and Mathematical Methods in Medicine

Advances in Computational Methods for Genetic Diseases


Status
Published

1University of Naples Parthenope, Napoli, Italy

2University of Oxford, Oxford, UK

3University of Naples Federico II, Napoli, Italy

4University of Naples, Napoli, Italy


Advances in Computational Methods for Genetic Diseases

Description

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

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 645649
  • - Editorial

Advances in Computational Methods for Genetic Diseases

Francesco Camastra | Roberto Amato | ... | Antonino Staiano
  • Special Issue
  • - Volume 2015
  • - Article ID 259474
  • - Research Article

Enhancing the Lasso Approach for Developing a Survival Prediction Model Based on Gene Expression Data

Shuhei Kaneko | Akihiro Hirakawa | Chikuma Hamada
  • Special Issue
  • - Volume 2015
  • - Article ID 641393
  • - Research Article

Evolutionary Influenced Interaction Pattern as Indicator for the Investigation of Natural Variants Causing Nephrogenic Diabetes Insipidus

Steffen Grunert | Dirk Labudde
  • Special Issue
  • - Volume 2015
  • - Article ID 893507
  • - Research Article

Unified Modeling of Familial Mediterranean Fever and Cryopyrin Associated Periodic Syndromes

Yasemin Bozkurt | Alper Demir | ... | Ahmet Gül
  • Special Issue
  • - Volume 2015
  • - Article ID 683679
  • - Research Article

Optimization and Corroboration of the Regulatory Pathway of p42.3 Protein in the Pathogenesis of Gastric Carcinoma

Yibin Hao | Tianli Fan | Kejun Nan
  • Special Issue
  • - Volume 2015
  • - Article ID 680434
  • - Research Article

A New Approach for Mining Order-Preserving Submatrices Based on All Common Subsequences

Yun Xue | Zhengling Liao | ... | Tiechen Li
  • Special Issue
  • - Volume 2015
  • - Article ID 954598
  • - Review Article

Statistical and Computational Methods for Genetic Diseases: An Overview

Francesco Camastra | Maria Donata Di Taranto | Antonino Staiano
Computational and Mathematical Methods in Medicine
 Journal metrics
Acceptance rate32%
Submission to final decision45 days
Acceptance to publication39 days
CiteScore3.400
Impact Factor1.770
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