Richard J Boys
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Explore the profile of Richard J Boys including associated specialties, affiliations and a list of published articles.
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16
Citations
173
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Recent Articles
1.
Cherlin S, Heaps S, Nye T, Boys R, Williams T, Embley T
Mol Biol Evol
. 2017 Nov;
35(4):984-1002.
PMID: 29149300
Most phylogenetic models assume that the evolutionary process is stationary and reversible. In addition to being biologically improbable, these assumptions also impair inference by generating models under which the likelihood...
2.
Jennings D, Boys R, Gammell M
Biol Lett
. 2017 Nov;
13(11).
PMID: 29118237
Antlers function as primary weapons during fights for many species of ungulate. We examined the association between antler damage and (i) contest dynamics: the behavioural tactics used during fighting including...
3.
Garba M, Nye T, Boys R
Syst Biol
. 2017 Oct;
67(2):320-327.
PMID: 29029295
Most existing measures of distance between phylogenetic trees are based on the geometry or topology of the trees. Instead, we consider distance measures which are based on the underlying probability...
4.
Williams T, Heaps S, Cherlin S, Nye T, Boys R, Embley T
Philos Trans R Soc Lond B Biol Sci
. 2015 Sep;
370(1678):20140336.
PMID: 26323766
The root of a phylogenetic tree is fundamental to its biological interpretation, but standard substitution models do not provide any information on its position. Here, we describe two recently developed...
5.
Heaps S, Nye T, Boys R, Williams T, Embley T
Stat Appl Genet Mol Biol
. 2014 Aug;
13(5):589-609.
PMID: 25153609
In molecular phylogenetics, standard models of sequence evolution generally assume that sequence composition remains constant over evolutionary time. However, this assumption is violated in many datasets which show substantial heterogeneity...
6.
Jow H, Boys R, Wilkinson D
Stat Appl Genet Mol Biol
. 2014 Aug;
13(5):531-51.
PMID: 25153608
In this paper we develop a Bayesian statistical inference approach to the unified analysis of isobaric labelled MS/MS proteomic data across multiple experiments. An explicit probabilistic model of the log-intensity...
7.
Baggaley A, Sarson G, Shukurov A, Boys R, Golightly A
Phys Rev E Stat Nonlin Soft Matter Phys
. 2012 Sep;
86(1 Pt 2):016105.
PMID: 23005489
We consider a wave-front model for the spread of neolithic culture across Europe, and use Bayesian inference techniques to provide estimates for the parameters within this model, as constrained by...
8.
Gillespie C, Lei G, Boys R, Greenall A, Wilkinson D
BMC Res Notes
. 2010 Mar;
3:81.
PMID: 20302631
Background: Large scale microarray experiments are becoming increasingly routine, particularly those which track a number of different cell lines through time. This time-course information provides valuable insight into the dynamic...
9.
Chen Y, Lawless C, Gillespie C, Wu J, Boys R, Wilkinson D
Brief Bioinform
. 2010 Jan;
11(3):278-89.
PMID: 20056731
Dynamic simulation modelling of complex biological processes forms the backbone of systems biology. Discrete stochastic models are particularly appropriate for describing sub-cellular molecular interactions, especially when critical molecular species are...
10.
Boys R, Giles P
J Math Biol
. 2007 Mar;
55(2):223-47.
PMID: 17361423
Stochastic compartmental models of the SEIR type are often used to make inferences on epidemic processes from partially observed data in which only removal times are available. For many epidemics,...