The Scientific World Journal

Bioinformatics and Biomedical Informatics


Publishing date
11 Jan 2013
Status
Published
Submission deadline
02 Nov 2012

Lead Editor

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:


Articles

  • Special Issue
  • - Volume 2013
  • - Article ID 591976
  • - Editorial

Bioinformatics and Biomedical Informatics

Kayvan Najarian | Rachid Deriche | ... | Nina S. T. Hirata
  • Special Issue
  • - Volume 2013
  • - Article ID 896056
  • - Research Article

A Hierarchical Method for Removal of Baseline Drift from Biomedical Signals: Application in ECG Analysis

Yurong Luo | Rosalyn H. Hargraves | ... | Kayvan Najarian
  • Special Issue
  • - Volume 2013
  • - Article ID 685917
  • - Research Article

A Comparative Genomic Study in Schizophrenic and in Bipolar Disorder Patients, Based on Microarray Expression Profiling Meta-Analysis

Marianthi Logotheti | Olga Papadodima | ... | Fragiskos Kolisis
  • Special Issue
  • - Volume 2013
  • - Article ID 769639
  • - Review Article

Biomedical Informatics for Computer-Aided Decision Support Systems: A Survey

Ashwin Belle | Mark A. Kon | Kayvan Najarian
  • Special Issue
  • - Volume 2012
  • - Article ID 989637
  • - Research Article

Robust Microarray Meta-Analysis Identifies Differentially Expressed Genes for Clinical Prediction

John H. Phan | Andrew N. Young | May D. Wang
  • Special Issue
  • - Volume 2012
  • - Article ID 380495
  • - Research Article

Gene Expression Profiles for Predicting Metastasis in Breast Cancer: A Cross-Study Comparison of Classification Methods

Mark Burton | Mads Thomassen | ... | Torben A. Kruse
The Scientific World Journal
 Journal metrics
Acceptance rate23%
Submission to final decision79 days
Acceptance to publication44 days
CiteScore1.430
Impact Factor-
 Submit