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Integrated Analysis of Multiscale Large-Scale Biological Data for Investigating Human Disease

Call for Papers

Integrating large-scale data obtained from multiscales is essential for understanding the molecular basis of complex diseases and providing useful therapeutic targets. Several large projects, such as The Cancer Genome Atlas (TCGA), Cancer Cell Line Encyclopedia (CCLE), Genotype-Tissue Expression (GTEx), and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC), have measured the somatic mutation, copy number variation (CNV), mRNA expression, microRNA expression, and methylation data and made them publicly available. Recently, many statistical methods and analysis tools have been developed based on these multiscale large-scale data. A special issue of research or review articles in these research fields is important and timely. The potential contributors for the special issue are oncologist, computational biologists, mathematical biologists, bioinformaticians, systems biologists, and computational pharmacist. We invite authors to contribute original research articles as well as review articles to this special issue. Potential topics include, but not limited to:

  • Subtype stratification of patients
  • Multiscale network construction
  • Network module identification
  • Predictive model of disease state
  • Biomarker discovery
  • Combinatorial drug discovery
  • Translational medicine
  • Novel computational methods in large biology data analysis
  • Inferring gene function from expression data
  • Inferring gene function from genome sequence data
  • Integrating expression data with other genome-wide data for functional annotation
  • Integrating expression data from different organisms

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/bmri/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/bmri/bioinformatics/iam/ according to the following timetable:

Manuscript DueFriday, 29 August 2014
First Round of ReviewsFriday, 21 November 2014
Publication DateFriday, 16 January 2015

Lead Guest Editor

  • Tao Huang, Department of Genetics and Genomics Sciences, Mount Sinai School of Medicine, New York, NY, USA

Guest Editors

  • Lei Chen, College of Information Engineering, Shanghai Maritime University, Pudong, Shanghai, China
  • Mingyue Zheng, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Pudong, Shanghai, China
  • Jiangning Song, ARC Centre of Excellence in Structural and Functional Microbial Genomics, Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia