Biomedical Informatics and Computational Biology for High-Throughput Data Analysis
1Center for Systems Biology, Soochow University, P.O. Box 206, Suzhou 215006, China
2Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
3School of Electronics and Information Engineering, Soochow University, Suzhou 215006, China
4Department of Pathology, The Norwegian Radium Hospital, Oslo University Hospital, Montebello, 0310 Oslo, Norway
Biomedical Informatics and Computational Biology for High-Throughput Data Analysis
Description
The last few years have witnessed the emergence of several high-throughput (HTP) platforms that are based on the evolution of omic science through microarray transcriptomics, metabolomics, and proteomics. The current issue will highlight the application of HTP, especially next-generation sequencing (NGS), in translational medical research. NGS technologies have become increasingly widespread and opened many opportunities for software and algorithm development in the biological sciences. To date, many bioinformatical tools and models relevant to next-generation sequencing applications, such as alignment methods, visualization tools, and CHIP-Seq and RNA-Seq technologies, have been proposed but need further investigation.
The main focus of this special issue will be on the recent NGS technologies and new bioinformatical tools and models, as well as translational applications in biomedical research. The special issue will become an international forum for researchers to present the latest developments and state-of-the-art solutions in genomics and bioinformatics. Potential topics include, but are not limited to:
- NGS and transcriptome data analysis in biomedical research
- Proteomics data analysis in biomedical research
- New biomedical informatica tools and models
- Recent applications of HTP technology in medicine
Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.tswj.com/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.tswj.com/author/submit/bioinformatics/analys/ according to the following timetable: