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Open software for biologists: from famine to feast.
Dawn Field1, Bela Tiwari, Tim Booth
1NERC Environmental Bioinformatics Centre, Oxford, UK. dfield@ceh.ac.uk
Nature Biotechnology
|July 15, 2006
Summary
Creating tailored computing systems for research communities is practical and beneficial. These specialized systems offer cost-effectiveness and broad advantages for scientific advancement.
Area of Science:
- Computer Science
- Scientific Research
Background:
- Traditional computing infrastructure may not meet the unique demands of specialized research fields.
- The increasing complexity of scientific data necessitates tailored computational solutions.
Purpose of the Study:
- To demonstrate the feasibility and advantages of developing specialized computing systems for specific research communities.
- To highlight the cost-effectiveness and broad benefits of custom-built computational resources.
Main Methods:
- Designing and implementing bespoke hardware and software configurations.
- Collaborating with research groups to understand and address their specific computational needs.
Main Results:
- Specialized computing systems are achievable within practical constraints.
- These systems provide significant cost savings compared to general-purpose solutions.
- Wide-ranging benefits, including accelerated research and enhanced data analysis capabilities, were observed.
Conclusions:
- Developing and deploying specialized computing systems is a viable and advantageous strategy for research communities.
- Investment in tailored computational resources yields substantial returns in scientific productivity and efficiency.