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Practical Inference Methods for Mechanistic Modelling of Biological Systems

Towards a Polymer Model of Genetic Recombination

author: Christopher Penfold, Department of Molecular Biology and Biotechnology, University of Sheffield

Description

Homologous recombination (HR) refers to the shuffling of genetic material during cellular division e.g., meiosis and mitosis, and in response to environmentally-induced genetic damage. HR occurs preferentially over certain regions, and is notably influenced by physical compartmentalization due to chromosome packing. Although a number of experimental techniques exist for identifying such effect they are generally costly and time-consuming. Here we suggest a Bayesian approach to recom- bination with a mechanistic prior such that we may infer posterior distributions for recombination frequencies and efficiencies between regions where experimental data may be absent.

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Slides
0:00 Towards a Polymer Model of Recombination
0:22 Table of Contents
1:13 What is Homologous Recombination? - 1
1:29 What is Homologous Recombination? - 2
1:30 What is Homologous Recombination? - 3
1:31 What is Homologous Recombination? - 4
1:54 What is Homologous Recombination? - 5
2:05 Chromosome Dynamics - 1
2:27 Chromosome Dynamics - 2
2:28 Chromosome Dynamics - 3
2:29 Chromosome Dynamics - 4
3:05 Chromosome Dynamics - 5
3:18 Chromosome Dynamics - 6
3:19 Chromosome Dynamics - 7
3:32 Chromosome Dynamics - 8
3:33 Chromosome Dynamics - 9
3:50 Chromosome Dynamics - 10
3:53 Chromosome Dynamics - 11
3:55 Chromosome Dynamics - 12
4:03 Chromosome Dynamics - 13
4:04 Chromosome Dynamics - 14
4:29 Influence of Chromosome Dynamics - 1
4:31 Influence of Chromosome Dynamics - 2
4:38 Influence of Chromosome Dynamics - 3
4:39 Influence of Chromosome Dynamics - 4
5:03 Influence of Chromosome Dynamics - 5
5:16 Influence of Chromosome Dynamics - 6
5:22 Experimental Motivation - 1
5:28 Experimental Motivation - 2
5:34 Experimental Motivation - 3
5:49 Experimental Motivation - 4
5:50 Experimental Motivation - 5
6:13 Ideal Gaussian Chain - 1
6:24 Ideal Gaussian Chain - 2
6:27 Ideal Gaussian Chain - 3
6:40 Ideal Gaussian Chain - 4
7:06 The Prior Distribution - 1
7:22 The Prior Distribution - 2
7:29 The Prior Distribution - 3
7:30 The Prior Distribution - 4
7:31 The Prior Distribution - 5
7:39 The Prior Distribution - 6
7:47 The Prior Distribution - 7
8:00 The Prior Distribution - 8
8:05 The Prior Distribution - 9
8:14 The Prior Distribution - 10
8:32 The Prior Distribution - 11
8:45 Chromosome Dynamics Revisited - 1
8:54 Chromosome Dynamics Revisited - 2
9:05 Chromosome Dynamics Revisited - 3
9:30 Chromosome Dynamics Revisited - 4
9:38 Chromosome Dynamics Revisited - 5
10:08 Chromosome Dynamics Revisited - 6
10:18 Chromosome Dynamics Revisited - 7
10:44 Is the Prior Sensible? - 1
11:17 Is the Prior Sensible? - 2
11:22 Is the Prior Sensible? - 3
11:31 Is the Prior Sensible? - 4
11:31 Is the Prior Sensible? - 5
11:36 Preliminary Conclusions - 1
11:55 Preliminary Conclusions - 2
12:00 Preliminary Conclusions - 3
12:10 Preliminary Conclusions - 4
12:15 Preliminary Conclusions - 5
12:32 Preliminary Conclusions - 6
13:11 ... and now for the Bayesian part! - 1
13:19 ... and now for the Bayesian part! - 2
13:21 ... and now for the Bayesian part! - 3
13:34 ... and now for the Bayesian part! - 4
13:54 ... and now for the Bayesian part! - 5
14:04 ... and now for the Bayesian part! - 6
14:24 ... and now for the Bayesian part! - 7
14:35 Acknowledgments - 1
14:41 Acknowledgments - 2
14:50 Acknowledgments - 3
14:58 Acknowledgments - 4
15:04 Acknowledgments - 5

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