Biology databases are diverse and massive. As a result, researchers must compare each sequence with vast numbers of other sequences. Comparison, whether of structural features or protein sequences, is vital in bioinformatics. These activities require high-speed, high-performance computing power to search through and analyze large amounts of data and industrial-strength databases to perform a ra...

1 Biosystems Group, School of Computing, University of Leeds, Leeds, UK 2 Leeds Institute of Molecular Medicine, University of Leeds, Leeds, UK 3 Division of Biomedical Engineering, School of Engineering, University of Glasgow, Glasgow, UK 4 Institute of Integrative and Comparative Biology, University of Leeds, Leeds, UK 5 Institute of Membrane and Systems Biology, University of Leeds, Leeds, U...

Computational neurobiology was born over half a century ago, and has since been consistently at the forefront of modelling in biology. The recent progress of computing power and distributed computing allows the building of models spanning several scales, from the synapse to the brain. Initially focused on electrical processes, the simulation of neuronal function now encompasses signalling pathw...

This paper describes the development of bioinformatics foundational courses for incorporation into undergraduate biology curricula. A sequence of three courses was developed with multi-disciplinary collaboration between the Departments of Biology and Computer Science at Tuskegee University. The focus was on teaching the effective use of bioinformatics tools, as compared to development of bioinf...

Although these early languages and platforms raised the level of abstraction, they still had a distinct "computing-oriented" focus. In particular, they provided abstractions of the solution space—that is, the domain of computing technologies themselves—rather than abstractions of the problem space that express designs in terms of concepts in application domains, such as telecom, aerospace, heal...

This paper presents an overview of computational biology approaches and surveys some of the natural computing models using, in both cases, a formal language-based approach.

The papers in this special section focus on collecting high-quality scientific contributions from the research community working fields of parallel and distributed computing, data analytics algorithms big frameworks, application specific processing. Specifically, main is emerging new computing trends that affect concrete human life, so-called “Human Sensible Applications”. Problems related to i...

Neuromorphic computing is becoming a popular approach for implementations of brain-inspired machine learning tasks. As paradigm both hardware and algorithm design, neuromorphic aims to emulate several aspects related the structure function biological nervous system achieve artificial intelligence with efficiencies that are orders magnitude better than those exhibited by general-purpose hardware...