Intelligent computation meets bio-medical research: recent developments in computational biology

Locations
Hornton Grange, Worcester Room
Category
Lectures Talks and Workshops
Date(s)
Thursday 9th October 2014 (09:30-16:15)
Download
Add to Calendar
Description

Workshop Leader(s):

Professor Michael Biehl - IAS visiting fellow and University of Groningen/NL
Professor Wiebke Arlt - Centre for Endocrinology, Diabetes and Metabolism (CEDAM)
Dr Peter Tino - School of Computer Science

The availability of data in the life sciences has increased dramatically in recent years. While the analysis of genomics data is just one example for this trend, modern computational biology has to face challenges in a large variety of contexts: in medicine, for instance, imaging and traditional lab technology, proteomics and other "omics" data play an increasingly important role for basic research and clinical practice. In particular, the integration of data that comes from different sources and platforms will be instrumental in cutting edge bio-medical research.

The analysis of large amounts of potentially very high-dimensional data in the life sciences requires the development of efficient computational and automated analysis tools. On the other hand, new approaches to the modelling of the underlying biological processes become necessary.

The aim of this workshop is to bring together active researchers from many of the involved areas and facilitate intense scientific exchange. This should lead to the identification of novel directions of research and potential novel collaborations.

The workshop features presentations by renowned invited speakers, which will serve as starting points for discussion. Participants are encouraged to come prepared with questions or project ideas and join the discussion groups. The outcome of the event should include novel project ideas, collaborations and joint grant applications.

This workshop specifically caters for interdisciplinary exchange and bio-medical researchers are highly encouraged to attend.

Speakers:

  • Professor Gyan Bhanot, Rutgers University, New Jersey, U.S.A.
  • Professor Paulo Lisboa, Liverpool John Moores University
  • Dr Guillaume Assié, Institut Cochin, Paris
  • Dr Peter Tino, University of Birmingham

To register to attend this workshop please email Sarah Jeffery.

Agenda

09:30-09:55

Coffee and welcome

10:00-10:30

I) Paulo Lisboa

A Semi-Supervised Methodology for Blind Signal Separation – Application to Tumour-Specific MRS Sources in Human Brain Data

10:30-10:45

Questions and discussion

10:45-11:15

II) Peter Tino

Searching for co-expressed genes in three-color cDNA microarray data using a probabilistic  model based Hough Transform.

11:15-11:30

Questions and discussion

11:30-11:45

Coffee/tea

11:45-12:15

Discussion groups (I) and (II)

12:15-12:30

Short summaries of discussions

12:30-13:30

Lunch

13:30-14:00

III) Guillaume Assié:

Classification and deciphering of new biological aspects of tumors by multi-omics approaches : the example of adrenocortical tumors

14:00-14:15

Questions and discussion

14:15-14:45

IV) Gyan Bhanot

Predicting metastasis, survival and drug efficacy in breast cancer

14:45-15:00

Questions and discussion

15:00-15:30

Coffee/tea

15:30-16:00

Discussion groups (III) and (IV)

16:00-16:15

Short summaries of discussions closing