Special Issue on: "Bioscience and Computational Methods"
Prof. S. Aravindhan and Dr. N. Usha Rani, Vignan’s University, India
Computational bioscience is at the cusp of significant innovations that guarantee highly affordable, advanced and smarter healthcare facilities for people across the globe. With data science and analytics fields gaining a lot of attention and investment, brighter days lie ahead for bioscience – the seamless and spontaneous combination of biology and computational techniques. Furthermore, clouds are being positioned as best-in-class IT infrastructures for all kinds of biological experimentation, searching, processing, ingestion, storage and visualisation.
This special issue aims to present a variety of related research contributions to empower future biologists and physicians with bioinformatics tools and analysis methods, including technological advancements, newer tools, techniques and tips, best practices, key metrics and healthcare processes. Our objective is to share value-adding contributions from researchers and scholars across the globe, particularly on the significant impacts of the convergence of bioscience and computational methods.
The issue will carry revised and substantially extended versions of selected papers presented at the International Conference on Allied Electrical and Communication Systems (ICAECS2016), but we also strongly encourage researchers unable to participate in the conference to submit articles for this special issue.
Suitable topics include, but are not limited to, the following:
- Biology and informatics
- Computational biology
- Mathematical models for molecular processes
- Biological data science
- Big data analytics
- Biological applications in cloud environments
- Biological data mining
- Biological data storage and backup
- Machine learning
- DNA recombination and splicing languages
- Homology searching
- Pattern recognition
- Statistical methods
- Cognitive computing for smarter healthcare
- Biological databases
- Semantic data
- Searching and querying techniques
- Matching methods
- Monte Carlo simulations
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).
All papers are refereed through a peer review process.
All papers must be submitted online. To submit a paper, please read our Submitting articles page.
Manuscripts due by: 25 November, 2017
Notification to authors: 25 January, 2018
Final versions due by: 25 February, 2018