Bioinformatics and Biomedical Informatics
1Department of Computer Science, Biomedical Signal and Image Processing Center, Virginia Commonwealth University, Richmond, VA, USA
2Athena Project-Team, Inria Sophia-Antipolis—Méditerranée Research Center, Sophia-Antipolis, France
3Department of Mathematics and Statistics and Bioinformatics Program, Boston University, Boston, MA, USA
4Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, SP, Brazil
Bioinformatics and Biomedical Informatics
Description
The novel high-throughput systems for measurement of biological and physiological data have created the challenge of processing/analyzing the abundance of resulting data. There is a need for advanced computational methods to process these often very large datasets, and more generally to form decision-support systems for complex problems in medicine and biology. This need has highlighted the roles of bioinformatics and biomedical informatics as fundamental elements of any endeavor in today's life sciences. The current focus of these fields is on designing computational methods that not only help with discoveries in basic sciences, but also facilitate the design and development of systems for clinical applications. During the last few decades, the vital role of these computational methods in emerging fields of life sciences such as translational medicine has been further recognized.
With this in mind we are editing a special issue of The Scientific World Journal, updating current status and advancements of methods in Biomedical Informatics and Bioinformatics, in particular the novel approaches in integrating imaging information with genomic/proteomic data for clinical decision support. We encourage authors to submit original papers as well as review articles related to advancing the design and applications of these computational methods. Specifically, since biomedical informatics and bioinformatics are at the junction of computer science, applied mathematics, medicine, biology, and healthcare technology, we are interested in the latest results of state-of-the-art interdisciplinary projects that integrate the data from different modalities for clinical decision support. Potential topics include, but are not limited to:
- Systems biology
- Machine learning and data mining for bioinformatics and biomedical informatics
- Pharmacogenomics and personalized medicine
- Computational methods for evolutionary biology
- Genomic, proteomic, and transcriptomic data analysis for clinical decision support
- Visualization, interaction, and data integration
- Design and evaluation of health information technologies
- Computational biomedical imaging
- Biological and biomedical time-series analysis
- Biological and neuroscience image computation
- Computer-aided clinical decision support systems
- Computational anatomy and physiology and their applications in clinical decision support
Before submission, authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/tswj/guidelines/. A list of the databases in which the journal is included can be found at:http://www.tswj.com/ai/ . Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/tswj/bioinformatics/biomed/ according to the following timetable: