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Monday, 10th April
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11:30
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Registration opens
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12:30
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Lunch (buffet style)
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Preamble
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13:20
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Des Higgins
Welcome followed by some administrivia
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Session 1 - Genomics
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Chairman: John Brookfield
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13:30
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Ian Wilson
Approximate
Likelihood Methods for Genomic Data from Structured Populations.
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14:00
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Benjamin P. Blackburne Alan
J. Hay, Adele Steyn and Richard A. Goldstein
Changing
patterns of selective pressure in Human Influenza H3
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14:30
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Alun Thomas
Towards
linkage analysis with linkage disequilibrium.
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15:00
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R. Te Boekhorst, C. L. Nehaniv and I. Abnizova
Discriminating coding, non-coding and regulatory
regions using rescaled range and detrended fluctuation analysis
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15:30
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Coffee/Tea break
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Session 2 – Gene Expression I
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Chairman: Wolfgang Huber
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16:00
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Max B. Cooper, Matthew Loose and John F.Y. Brookfield
Evolving
Gene Networks - When Do Transcription Factors Bind Competitively?
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16:30
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Guido Sanguinetti, Magnus Rattray and Neil D.
Lawrence
A
probabilistic dynamical model for quantitative inference of the regulatory
mechanism of transcription.
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17:00
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Luke Carravick, Colin Campbell, Simon Rogers and Mark
Girolami
Probabilistic
Graphical Models for Analysis of Microarray Data
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17:30
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Simon Rogers and Mark Girolami
Model
Based Identification of Transcription Factor Regulatory Activity via Markov
Chain Monte Carlo
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19:30
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Conference dinner
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Tuesday 11th April
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Session 3 – Phylogeny
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Chairman: Martin Bishop
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09:30
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Wally Gilks, Tom Nye and Pietro Lio
Incorporating
uncertainty in distance-matrix phylogenetics
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10:00
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Mark Pagel and Andrew Meade
Detecting
conflicting phylogenetic signals in gene-sequence data - a Bayesian
multiple topologies mixture model
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10:30
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Coffee break & posters
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Session 4 – Networks
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Chairman: Paul Verrier
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11:00
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Rainer Opgen-Rhein
Inferring
genetic networks from genomic longitudinal data: a vector autoregressive
process approach.
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11:30
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Adriano Werhli, Marco Grzegorczyk, Dirk Husmeier and
Wolfgang Urfer
Comparative
Evaluation of the Accuracy of Reverse Engineering Gene Regulatory Networks
with various Machine Learning Methods
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12:00
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Wolfgang Lehrach and Dirk Husmeier
A
regularised discrimative model fo the prediction of protein-peptide
interactions
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12:30
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Lunch
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Session 5 – Gene Expression II
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Chairman: Des Higgins
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13:30
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Michael Rosskopf and Arndt von Haeseler
Testing
the neutral evolution hypothesis for gene expression data
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14:00
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Irina Abnizova, Rene te Boekhorst, Brian Tom and
Walter R. Gilks
Markov
models for transcription binding site prediction
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14:30
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Andrew Teschendorff, Ali Nederi, Nuno Barbosa-Morais
and Carlos Caldas
PACK,
Profile Analysis using Clustering and Kurtosis to find major molecular
classifiers in cancer.
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15:00
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Mark Dunning
Detecting regulatory element
variants using BeadArrays
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15:30
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Close of Conference
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