Browse Items (354 total)

In this project we use the Approximate Bayesian Computation - Markov Chain Monte Carlo algorithm to identify parameters of a SLiM model to explain our data
set of the observed site-frequency spectrum.

Astronomy is experiencing a rapid growth in complexity and data size. The difficulty in analysing data
fosters the development of data-driven science as a useful companion where astronomers develop tools
to mine datasets and extract novel…

In this poster we investigate that engineered phage (K1F-GFP-EGF) for any loss of lytic activity caused by mutation as well as using confocal microscope to investigate the mutant phage’s ability to be to internalised by two human cell lines: hCMEC…