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PJG Home | Research
Bayesian alignment using hierarchical models,
with applications in protein bioinformatics
by Peter J. Green, School of Mathematics, University of Bristol, Bristol BS8 1TW, UK.
and
Kanti V. Mardia,
Department of Statistics, School of Mathematics, University of Leeds, Leeds, LS2 9JT, UK.
This page is incomplete; please email Peter Green
via Email link
to request any supplementary information on this work that does not yet appear below:
The paper: PostScript; PDF.
Data for examples in sections 4.1 and 4.2
- Gel data in various formats: plain text file; R source format;
R image format; R print output
- Protein active sites
- Data in various formats: plain text file;
R source format;
R image format; R print output
- Origin of data:
the two examples are taken from the pdb data bank (a data bank of
protein structures about 33,000 proteins available on the website
http://www.rcsb.org/pdb/)
and their pdb codes are 1cyd (the x configuration, 40 points) and
1a27 (the y configuration, 63 points). These two proteins belongs to the
same family in what is called a SCOP classification (the family is
Tyrosine-dependent oxireductase).
- Plot of MCMC diagnostics for a typical run
as described in Section 4.2
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