26 Computer Computational Challenges of Systems Biology B ioinformatics is the computing response to the molecular revolution in biology. This revolution has reshaped the life sciences and given us a deep understanding of DNA sequences, RNA synthesis, and the generation of proteins. In the process of achieving this revolution in understanding, we have accumulated vast amounts of data. The scale...

1 Centre for Integrated Systems Biology of Ageing and Nutrition, Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, United Kingdom, 2 School of Computing Science, Newcastle University, Newcastle upon Tyne, United Kingdom, 3 QB3 Institute, University of California, Berkeley, Berkeley, California, United States of America, 4 Harvard School ...

cloud computing is a new discussion in enterprise it. it has already become popular in terms of distributed technology in some companies. it enables managers to setup and run the intended businesses by avoiding excessive spending on computers, software and hiring expert staff, which proves to be cost effective. cloud computing also helps users pay for the it services without spending massive am...

Background: Synthetic biology is an interdisciplinary branch of biology and engineering. As synthetic biology develops into a promising science and engineering field, we need to clarify the purpose and nature of this science in terms of security, ethics and the recognition of the benefits of potential risks. The aim of this study was to evaluate the researchers’ attitudes toward synthetic biolo...

We have created a course entitled "Representations and Algorithms for Computational Molecular Biology" with three specific goals in mind. First, we want to provide a technical introduction for computer science and medical information science students to the challenges of computing with molecular biology data, particularly the advantages of having easy access to real-world data sets. Second, we ...

Integrative cancer biology research relies on a variety of data-driven computational modeling and simulation methods and techniques geared towards gaining new insights into the complexity of biological processes that are of critical importance for cancer research. These include the dynamics of gene-protein interaction networks, the percolation of sub-cellular perturbations across scales and the...

The ever-increasing speed and resolution of modern microscopes make the storage and post-processing of images challenging and prevent thorough statistical analyses in developmental biology. Here, instead of deploying massive storage and computing power, we exploit the spherical geometry of zebrafish embryos by computing a radial maximum intensity projection in real time with a 240-fold reductio...

Predicting membrane type is a crucial problem in computational biology. It is closely related to the biological function of the protein and its interaction process with other molecules in a biological system. The function of a membrane protein is closely correlated with the type it belongs to. In this paper we introduce DomMat, a novel method to predict membrane protein types. The method extrac...

Excitable systems with delayed feedback are important in areas from biology to neuroscience and optics. They sustain multistable pulsing regimes different number of equidistant pulses the loop. Experimentally theoretically, we report on pulse-timing symmetry breaking these an optical system. A bifurcation analysis unveils that this originates a resonance phenomenon symmetry-broken states stable...

Genome to life (GTL), the U.S Department of Energy Office of Science's systems biology program, focuses on environmental microbiology. Over the next 10 to 20 years, GTL's key goal is to understand the life processes of thousands of microbes and microbial systems in their native environments. This focus demands that we address huge gaps in knowledge, technology, computing, data capture and analy...