Advanced computing for systems biology
نویسندگان
چکیده
Systems biology is based on computational modelling and simulation of large networks of interacting components. Models may be intended to capture processes, mechanisms, components and interactions at different levels of fidelity. Input data are often large and geographically disperse, and may require the computation to be moved to the data, not vice versa. In addition, complex system-level problems require collaboration across institutions and disciplines. Grid computing can offer robust, scaleable solutions for distributed data, compute and expertise. We illustrate some of the range of computational and data requirements in systems biology with three case studies: one requiring large computation but small data (orthologue mapping in comparative genomics), a second involving complex terabyte data (the Visible Cell project) and a third that is both computationally and data-intensive (simulations at multiple temporal and spatial scales). Authentication, authorisation and audit systems are currently not well scalable and may present bottlenecks for distributed collaboration particularly where outcomes may be commercialised. Challenges remain in providing lightweight standards to facilitate the penetration of robust, scalable grid-type computing into diverse user communities to meet the evolving demands of systems biology.
منابع مشابه
The impact of Cloud Computing in the banking industry resources
Today, one of the biggest problems that gripped the banking sphere, the high cost of implementing advanced technologies and the efficient use of the hardware. Cloud computing is the use of shared services on the Internet provides a large role in developing the banking system, without the need for operating expenses including staffing, equipment, hardware and software Reducing the cost of implem...
متن کاملThe impact of Cloud Computing in the banking industry resources
Today, one of the biggest problems that gripped the banking sphere, the high cost of implementing advanced technologies and the efficient use of the hardware. Cloud computing is the use of shared services on the Internet provides a large role in developing the banking system, without the need for operating expenses including staffing, equipment, hardware and software Reducing the cost of implem...
متن کاملSystems Biology and Advanced Computing
In this paper we show some applications of Advanced and Parallel Computing to the study of mathematical models in Systems Biology and in particular of the networks of biochemical reactions occurring inside a cell. Due to their high complexity, the numerical study of these systems must be approached by means of sophisticated Advanced Computing tools. Two examples are shown: in a deterministic fr...
متن کاملAlgorithms for Computing Limit distributions of Oscillating Systems with Finite Capacity
We address the batch arrival systems with finite capacity under partial batch acceptance strategy where service times or rates oscillate between two forms according to the evolution of the number of customers in the system. Applying the theory of Markov regenerative processes and resorting to Markov chain embedding, we present a new algorithm for computing limit distributions of the number cus...
متن کاملAn Efficient Genetic Algorithm for Task Scheduling on Heterogeneous Computing Systems Based on TRIZ
An efficient assignment and scheduling of tasks is one of the key elements in effective utilization of heterogeneous multiprocessor systems. The task scheduling problem has been proven to be NP-hard is the reason why we used meta-heuristic methods for finding a suboptimal schedule. In this paper we proposed a new approach using TRIZ (specially 40 inventive principles). The basic idea of thi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Briefings in bioinformatics
دوره 7 4 شماره
صفحات -
تاریخ انتشار 2006