Pavel Pevzner, chair professor of computer science, University of California, San Diego
Felix Grant opens his eyes to the world of visualisation
Felix Grant on how statistical computing is charting the evolution of the brain and skull
Choices of data acquisition software are clouded by a bewildering array of data formats. For successful integration from instrument to analysis package, the simplest option is often the best, discovers Sian Harris.
Clare Samson discovers how ELNs are finding a home in bioinformatics applications
David Robson on how molecular modelling is making headway in the laborious process of drug discovery.
Building a Smart Laboratory 2018 highlights the importance of adopting smart laboratory technology, as well as pointing out the challenges and pitfalls of the process
Informatics experts share their experiences on the implementing new technologies and manging change in the modern laboratory
This chapter will consider the different classes of instruments and computerised instrument systems to be found in laboratories and the role they play in computerised experiments and sample processing – and the steady progress towards all-electronic laboratories.
This chapter considers how the smart laboratory contributes to the requirements of a knowledge eco-system, and the practical consequences of joined-up science. Knowledge management describes the processes that bring people and information together to address the acquisition, processing, storage, use, and re-use of knowledge to develop understanding and to create value
This chapter takes the theme of knowledge management beyond document handling into the analysis and mining of data. Technology by itself is not enough – laboratory staff need to understand the output from the data analysis tools – and so data analytics must be considered holistically, starting with the design of the experiment