Different data, different analytical tools, different users. How can scientific computing cope with diversity in the life sciences? Tom Wilkie discovers that data pipelining and workflow technology offer new approaches
Felix Grant explores the applications for - and reasoning behind - pattern recognition
Commercial laboratories increasingly turn to less-skilled staff for their routine analyses, but also want to use and share their results in far more ways than in the past. The key to achieving these different goals lies in the software, writes Siân Harris
Andre Geim, director, Centre for Mesoscience and Nanotechnology, University of Manchester
Gemma Church examines how simulation and modelling aid the increasingly diverse renewable energy field
Scientists have implemented automation and LIMS software to help pivot laboratory operations and provide services to better understand and prevent the spread of Covid-19
Sophia Ktori considers how software integration helps ensure scientists work efficiently in the laboratory
A team of international scientists, including Nasa researchers, are using deep learning to map trees and bushes in the drylands of West Africa and the southern Sahara desert
