Securing the future of research computing in the biosciences

Joanna Leng, Massa Shoura, Tom C.B. McLeish, Alan N. Real, Mariann Hardey, James McCafferty, Neil A. Ranson, Sarah A. Harris*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Improvements in technology often drive scientific discovery. Therefore, research requires sustained investment in the latest equipment and training for the researchers who are going to use it. Prioritising and administering infrastructure investment is challenging because future needs are difficult to predict. In the past, highly computationally demanding research was associated primarily with particle physics and astronomy experiments. However, as biology becomes more quantitative and bioscientists generate more and more data, their computational requirements may ultimately exceed those of physical scientists. Computation has always been central to bioinformatics, but now imaging experiments have rapidly growing data processing and storage requirements. There is also an urgent need for new modelling and simulation tools to provide insight and understanding of these biophysical experiments. Bioscience communities must work together to provide the software and skills training needed in their areas. Research-active institutions need to recognise that computation is now vital in many more areas of discovery and create an environment where it can be embraced. The public must also become aware of both the power and limitations of computing, particularly with respect to their health and personal data.

Original languageEnglish
Article numbere1006958
Number of pages15
JournalPLoS Computational Biology
Issue number5
Publication statusPublished - 16 May 2019

Bibliographical note

©2019 Leng et al.

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