1 Biomedical Engineering Program, College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA 2 Department of Cell Biology and Anatomy, University of South Carolina School of Medicine, Columbia, SC 29209, USA 3 Department of Pediatrics (Neonatology), Neonatal-Perinatal Research Institute, Duke University Medical Center, Durham, NC 297710, USA 4 Department of Cell...

1Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, U.S. National Institutes of Health, Rockville, MD, 20852, USA. 2Medical Science & Computing, LLC, 11300 Rockville Pike #1100, Rockville, MD, 20852, USA. 3Digital Reasoning, 1765 Greensboro Station Place #1200, McLean, VA, 22102, U...

Article history: Received 20 June 2016 Accepted 20 June 2016 Available online 25 June 2016 scales (Shaw et al., 2010). This is changing the way we study the functional mechanisms of life systems, and the integration of structural data, molecular biology experiments and computational simulations will be essential for a full understanding of the complex biological and pathological processes that ...

This paper presents innovative ways to solve data clustering and image segmentation using Natural computing, a novel approach to solve real life problems inspired in the life. Evolutionary Computing, which is based on the concepts of the evolutionary biology and individual-to-population adaptation, and Swarm Intelligence, which is inspired in the behavior of individuals that, in group, try to a...

Computing and Communications are well understood topics in engineering. However, we are very much at the beginning of the road to understanding those mechanisms in biological systems. I'll argue that progress in Biology will require better understanding of biologically inspired paradigms for computing and communications. In particular, I'll discuss some initial results related to asynchronous c...

The article provides an overview of what could be a new biological-inspired linguistics. The authors discuss some reasons for attempting a more natural description of natural language, lying on new theories of molecular biology and their formalization within the area of theoretical computer science. The authors especially explore three bio-inspired models of computation –DNA computing, membrane...

Combinatorial algorithms have long played a crucial, albeit under-recognized role in scientific computing. This impact ranges well beyond the familiar applications of graph algorithms in sparse matrices to include mesh generation, optimization, computational biology and chemistry, data analysis and parallelization. Trends in science and in computing suggest strongly that the importance of discr...

Petascale data management and analysis remain one of the main unresolved challenges in today's computing. The 6 th Extremely Large Databases workshop was convened alongside the XLDB conference to discuss the challenges in the health care, biology, and natural resources communities. The role of cloud computing, the dominance of file-based solutions in science applications, in-situ and predictive...