28 June 2012, UCL Bloomsbury Campus
The CLMS Symposium is a one-day event showcasing the role of information technology, including computer and computational sciences, across the broad range of life and medical (basic and clinical) sciences.
The diverse programme aims to highlight the breadth of multi-disciplinary research currently being undertaken in the fields of computational, life, and medical sciences and to illustrate the value of collaboration across these fields.
Chair: Dr Catherine Tralau-Stewart, Drug Discovery Centre, Imperial College London
Professor Jonathan Essex, Computer Simulation of Biomolecular Systems Research Group, University of Southampton
Protein-ligand binding by free-energy simulations: Issues, successes and failures [Abstract]
Professor David Selwood, Wolfson Institute for Biomedical Research, University College London
Using structural information from protein-ligand complexes for drug design [Presentation]
Chair: Professor Anthony Finkelstein, Faculty of Engineering Science, University College London
Dr Julie Stebbins, Oxford Gait Laboratory, Nuffield Orthopaedic Centre
Multi-segment foot modeling in clinical gait analysis [Abstract] [Presentation]
Professor Nick Tyler, Chadwick Professor of Civil Engineering, University College London
Multi-scale motion tracking to enhance accessibility [Abstract] [Presentation]
Dr Adam Shortland, Guy's and St. Thomas' NHS Foundation Trust and Imaging Sciences, King's College London
3D ultrasound imaging using a motion capture lab: understanding muscle growth and adaptation in spastic cerebral palsy [Presentation]
Chair: Professor Deenan Pillay, Research Department of Infection, University College London
Dr Neil Dalchau, Computational Science Laboratory, Microsoft Research
A peptide filtering relation quantifies MHC class I antigen presentation [Abstract] [Presentation]
Dr Darren Flower, School of Life and Health Sciences, Aston University
Immunology, ImmunoInformatics, and Vaccines [Abstract] [Presentation]
James Heather, Research Department of Immunology, UCL
Second-Generation Sequencing of the T-cell Receptor Repertoire [Abstract] [Presentation]
Imaging, Modelling, and Physiology Perspectives: Where does top meet bottom?
Session Chair: Professor Jonathan Ashmore, The Ear Institute, University College London
Panellists: Prof Mark Sansom, Department of Biochemistry, University of Oxford; Dr Lewis Griffin, Department of Computer Science, UCL; Prof David Holder, Department of Medical Physics and Bioengineering, UCL; Dr Rosanna Smith, Research Department of Cell and Developmental Biology, UCL; Dr Jason Rothman, Research Department of Neuroscience, Physiology and Pharmacology, UCL; Dr Andrea Jimenez Dalmaroni, Division of Molecular Biosciences, Imperial College London
Presentations: [L.Griffin] [D.Holder]
Physiology emphasises multi-scale explanations of living processes. As a result, computationally intensive approaches are beginning to be reinforced by the large volumes of data needed for the integrated descriptions of molecular, cellular and systems aspects of living organisms. Different styles of computation and modelling are required at each level to capture the essential features which make both predictive and useful contributions to basic physiology and to applied biomedicine. The issue is how optimally to interface these areas.
In this breakout session we shall discuss, with particular examples from membrane proteins (Sansom), cellular and neural organisation (Jimenez Dalmaroni, Rothman, Smith) and systems imaging (Holder, Griffin) the particular problems of integrating microscopic and macroscopic computational approaches to enhance discovery of molecular and system principles in living organisms.
Computing for Life, Medical, and Clinical Sciences
Session Chair: Professor Peter Coveney, Centre for Computational Science, University College London
Panellists: Professor Nicholas Luscombe, UCL Genetics Institute, University College London and Cancer Research UK London Research Institute; Dr Steven Niederer, Department of Biomedical Engineering, King's College London; Dr Max Wilkinson, Research Data Services, University College London; Ms Clare Gryce, Research Computing Services, University College London; Samuel Massiah, Advanced Information Services Centre, UCL
Presentations: [P.Coveney] [C.Gryce]
UCL is a world leader in many areas of computational life and medical science. By its nature, this field is highly cross disciplinary and dispersed across the UCL campus, and not everyone involved in the field will be familiar with all of the resources that UCL provides centrally to support computing in the life and medical sciences.
The aim of this breakout session is to bring together UCL's research community with the UCL's resource providers, allowing researcher to familiarise themselves with the resources on offer at UCL and the educations and training facilities provided, as well as introduce the new set of computational resources funded as part of the successful £3.5M e-Infrastructure South Consortium with Oxford, Southampton and Bristol. For researchers already making use of UCL's computational resources, this session offers the chance to provide feedback and domain specific requirements to senior staff from ISD and Research Computing. We will also discuss how the UCL research community can build on the current status of computational capabilities from the desktop via UCL facilities to higher levels of engagement, and facilitate the storage and sharing of patient data.
Big Data Neuroscience
Session Chair: Professor Peter Dayan, Gatsby Computational Neuroscience Unit, University College London
Panellists: Dr Tim Behrens, Centre for Functional MRI of the Brain, University of Oxford; Professor Angus Silver, Research Department of Neuroscience, Physiology and Pharmacology, University College London; Professor Michael Hausser, Research Department of Neuroscience, Physiology and Pharmacology, University College London
Neuroscience, like all other areas of science, is moving inexorably in the direction of generating huge volumes of data. Improved and new experimental methods in experimental and computational anatomy, physiology and behaviour are collectively creating challenges and opportunities that will come to define the next phases of the discipline. Key challenges are statistical and computational, extracting and creating information from data; the key opportunity is to use this information to find and prove new relationships within and across the levels of empirical and theoretical investigation.
In this breakout session, we will discuss these developments, informed by dispatches from three areas of the field that are in the forefront of the evolution: connectivity at macroscopic (Behrens) and microscopic (Häusser) scales; and large scale physiological simulations (Silver). Huge projects beckon and threaten in this area, rendering the discussion highly topical.
E-Health Management: The governance of clinical data when used for research
Session Chair: Professor Dipak Kalra, Centre for Health Informatics and Multiprofessional Education, University College London
Panellists: Mr Peter Singleton, Centre for Health Informatics and Multiprofessional Education, University College London; Dr Phil Koczan, University College London Partners
This workshop will focus on the governance of personal health information when used for research. This may include information acquired with consent from participants in longitudinal population health studies and clinical trials, or the use of de-identified electronic health records without consent from individuals. This workshop will outline the scenarios in which health data may be used for research and the legal and policy obligations that apply. Recent work by UCL Partners and by CHIME on data sharing agreements between Trusts and with UCL, and the expectations of the NHS about how its data will be protected within the university, will be outlined.
Most of the session will be dedicated to interactive discussion to explore how presently ad hoc (good, and possibly poor) approaches adopted by different sub-communities in UCL might migrate to consistent good practice that also aligns across UCLP. The workshop outputs may inform future UCL/UCLP corporate policies, and guidance on how to make best use of UCL's planned new identifiable data store.
Start time: Thu, 28/06/2012 (All day)
End time: Thu, 28/06/2012 (All day)