Linking Molecular and Clinical Information at the -omic Era: Algorithms and Tools for Enabling Translational Clinical Research

Call for Papers

Modern biomedical tools and methodologies revolutionize our approach for unravelling the molecular complexity of biological processes and hold the promise for promoting intelligent therapeutic management in the context of personalized medicine. Innovative measurement and instrumentation technologies throughout the whole extent of biomedicine (-omics, biosignals, imaging) amass huge volumes of data, setting new challenges regarding their efficient processing, interpretation, and integration. In addition, reuse of disparate preexisting data (literature, provenance data, clinical records, etc.) in these analytic pipelines strengthens the diagnostic value of the disease signatures derived, in order to be considered robust, early biomarkers of disease. High dimensionality and biological variability is ubiquitously present. The efficient manipulation of this complexity, through the application or development of innovative high-performance computing approaches, represents a critical determinant. Ultimate goal is the consolidation of translational research, namely, the movement of discoveries from the bench to the bedside through the development of standardized tools/methodologies available to the clinicians and biologists.

In this session concrete contributions are expected that describe methods, technologies, and examples of linking massive amounts of molecular and (pre)clinical information in a way that it becomes useful for the clinic. Potential topics include, but are not limited to:

  • Development of processing pipelines for disparate omics data
  • Open-source biomedical data/knowledge bases
  • Application of algorithms at bedside
  • Integration of (pre)clinical/omics data
  • Bioinformatics and computational biology
  • Biological data integration and visualization
  • Biological data mining and knowledge discovery
  • Biological databases and information retrieval
  • Biomedical engineering
  • Biomedical imaging, image processing & visualization
  • Biometric and biomeasurement
  • Bioontologies and semantics
  • Biosignal processing and analysis
  • Integrative and translational bioinformatics
  • Genomics, proteomics, metabolomics, epigenomics systems medicine
  • Computational molecular systems
  • Computational systems biology
  • Molecular pathway analysis
  • High-performance computing in life sciences

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

Manuscript DueFriday, 27 April 2012
First Round of ReviewsFriday, 20 July 2012
Publication DateFriday, 14 September 2012

Lead Guest Editor

Guest Editors