SICSA research project - Yasmeen Ahmad
Life sciences have traditionally relied on manual analysis of experimental datasets to determine biological significance.…
Life sciences have traditionally relied on manual analysis of experimental datasets to determine biological significance. However, this is no longer feasible due to the large amounts of data produced by advances in instrumentation and experimental protocols, and scientists now depend on computer-based analysis and visualisation. New software developed by Yasmeen Ahmad of the University of Dundee provides a suite of tools to meet the fast-increasing needs of proteomics research (“Computational Tools for the Management and Mining of Cell Biology Data”). The new software, called PepTracker, collates a large number of experiments and enables researchers to carry out novel computational analysis involving super-experiments, bringing datasets together to enhance one another and extend into new biological exploration.
"SICSA research project - Yasmeen Ahmad". Science Scotland (Issue Ten)
Printed from http://www.sciencescotland.org/feature.php?id=112 on 24/04/17 07:56:49 PM
Science Scotland is a science & technology publication brought to you by The Royal Society of Edinburgh (www.rse.org.uk).