INTERVIEW
Telling data's story
16 February 2016
Gemma Church talks to data visualisation company Golden Software about three decades in business, Microsoft bugs and working in the geoscience arena
February/March 2016
INTERVIEW
Taking drug development into the virtual world
16 February 2016
In her series of profiles of bioinformatics companies, Sophia Ktori looks at the work of biosimulation specialist, Certara
FEATURE
Revving up knowledge through simulation
16 February 2016
In the high-octane world of motorbike racing, a balance between simulation and physical testing can be crucial to improved performance, writes Robert Roe
FEATURE
Where to put a wind farm
16 February 2016
Gemma Church finds out how simulation software aids and optimises the decisions behind siting a wind farm
FEATURE
HPC finally climbs into the cloud
16 February 2016
After a shaky start, interest in migrating HPC to the cloud is growing rapidly. Tom Wilkie reports
FEATURE
Change bursts from the HPC crystal ball
16 February 2016
Andrew Jones looks ahead at what 2016 has in store for HPC and finds people, not technology, to be the most important issue
FEATURE
How is life different in the cloud?
16 February 2016
In her second article on cloud computing, Sophia Ktori looks at how both vendors and customers of informatics systems are having to change their IT culture
FEATURE
Data security in a collaborative environment
16 February 2016
The R&D sector is increasingly turning to collaborative, partnered and outsourced projects to boost innovation, reduce costs and help expedite development, writes Sophia Ktori
Feature
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
Feature
Informatics experts share their experiences on the implementing new technologies and manging change in the modern laboratory
Feature
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.
Feature
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
Feature
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