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Provisional Programme
Wednesday 9th April
| 11:45 - 12:50 |
Registration, Lunch
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Session 1: Networks
| 13:00 - 13:25 |
An Integer Linear Programming Approach to Causal Inference in Protein Signalling Networks
Chris Oates, Lilia Carneiro Da Costa, Tom Nichols, Jim Smith, Sach Mukherjee and James Cussens [Lecture Slides]
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| 13:25 - 13:50 |
Topological sensitivity analysis for biological networks
Ann Babtie, Paul Kirk and Michael Stumpf
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| 13:50 - 14:15 |
Designing robust synthetic genetic circuits
Miriam Leon and Chris Barnes
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| 14:15 - 14:40 |
Considering Unknown Unknowns - Reconstruction of Non-confoundable Causal Relations in Biological Networks
Mohammad Sadeh
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| 14:40 - 15:10 |
Tea and coffee
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Session 2: Transcriptomics and sequences
| 15:10 - 15:35 |
A Bayesian model selection approach to identifying differentially expressed transcripts
Panagiotis Papastamoulis and Magnus Rattray
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| 15:35 - 16:00 |
Gaussian process test for high-throughput sequencing time series: application to experimental evolution
Hande Topa, Agnes Jonas, Robert Kofler, Carolin Kosiol and Antti Honkela
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| 16:00 - 16:25 |
Using the Bayesian Normal Gamma prior to identify associated sequence variants.
Elizabeth Boggis, Marta Milo and Kevin Walters
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| 16:25 - 16:50 |
A tractable Gaussian Process model to identify the perturbation point and score differential expression from time course data
Jing Yang and Magnus Rattray
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| 16:50 - 18:00 |
Posters and drinks
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| 19:30 - 21:30 |
MASAMB dinner
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Thursday 10th April
Session 3: Phylogenies and Evolution
| 09:00 - 09:25 |
Phylogenetic model selection between state-spaces
Simon Whelan, James Allen, Benjamin Blackburne and David Talavera
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| 09:25 - 09:50 |
Species Tree Inference with Polymorphism-Aware Phylogenetic Models
Dominik Schrempf, Carolin Kosiol and Nicola De Maio
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| 09:50 - 10:15 |
Disentangling the contribution of mutation rates and fixation bias to genome evolution
Nicola De Maio, Christian Schlötterer and Carolin Kosiol
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| 10:15 - 10:40 |
Understanding the evolutionary signal leading to sequence covariation
David Talavera, Simon Lovell and Simon Whelan
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| 10:40 - 11:10 |
Tea and coffee
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Session 4: Networks
| 11:10 - 11:35 |
Characteristics of Type 1 Diabetes susceptibility loci
Sylvia Beka and Rene Te Boekhorst
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| 11:35 - 12:00 |
Bayesian inference for doubly-intractable network distributions
Anne-Marie Lyne
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| 12:00 - 12:25 |
Network Inference in Orthologous Systems
Christopher Penfold and David Wild
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| 12:25 - 12:50 |
Dimensionality reduction for high-content screening data
Lee Zamparo and Zhaolei Zhang Z
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Session 5: Modelling
| 13:45 - 14:10 |
Modelling Antigenic Variability In Foot-And-Mouth Disease Virus Using A Novel Sparse Hierarchical Bayesian Model
Vinny Davies, Richard Reeve, William Harvey, Francois Maree and Dirk Husmeier
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| 14:10 - 14:35 |
StochDecomp - noise decomposition in stochastic biochemical systems
Tomasz Jetka, Michał Komorowski, Agata Charzyńska, Anna Gambin and Michael Stumpf
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| 14:35 - 15:00 |
Bayesian inference and activation of competing mechanisms that control DNA double strand break repair.
Mae Woods and Chris Barnes
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| 15:00 - 15:25 |
Compressed Sensing in Disease Classification
Anna Ramisch and Martin Vingron
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| 15:25 - 15:50 |
Studying protein-protein binding funnels with SwarmDock Server and RaTrav
Mieczyslaw Torchala
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| 15:50 - 16:00 |
Closing remarks
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