Research IT will be supporting a new 3D, large-scale visualisation facility in The Alliance Manchester Business School. Not only will we be supplying our expertise by supporting the facility, but we will also be working to integrate it with the rest of the computational infrastructure at the University.
The UK BioBank has now released an update to the full-release 500,000 participant data released last year. Specifically, updated imputed data (study id EGAD00010001474) is now available for use on the CSF, iCSF, DPSF and desktops. Continue reading
The university has recently announced a 5 year partnership with BBC Research and Development and seven other UK Universities to unlock the potential of data in the media. We are pleased to say that Research IT staff will be using their expertise in several areas of this important project.
Have you heard of Software Carpentry (SWC) and Data Carpentry (DC)? Both organisations have the aim of upskilling researchers so they can upgrade their computational and programming skills and their data analysis skills respectively through a series of workshops and “train the trainer” events.
We are pleased to announce that the UK BioBank Genotyping and Imputation Data Release (data for all 500,000 participants in UK BioBank) is now available for use on central compute platforms (the CSF, DPSF and iCSF). It is also available as a storage share that can be mapped as a network drive on campus PCs / desktops.
Registration is now open for this year’s Advances in Data Science 2017 conference. The event is a two-day meeting to present recent developments in data science, with a focus on advanced analytics (machine learning, Bayesian statistics, scalable algorithms), privacy, visualisation, software and diverse applications. Speakers include leading data scientists from industry and academia.
The University of Manchester Data Science Institute has announced a call for abstracts for their ‘Advances in Data Science’ Conference to be held on the 15th – 16th May.
The conference is a two-day meeting to present recent developments in data science, with a focus on advanced analytics (machine learning, Bayesian statistics, scalable algorithms), privacy, visualisation, software and diverse applications. Speakers include leading data scientists from industry and academia.
We are looking for volunteers to help evaluate a number of general data analytics and visualisation tools to bridge the gap to more specialised software such as MatLab and Python.