This book club has been going on for ages and we have gone through many works. We read a a brisk pace and aim to meet each morning before work and discuss for 90 minutes covering 10-20 pages and then we read next segment in the evening during Oxford Term (http://www.ox.ac.uk/about/facts-and-figures/dates-of-term).
It is clearly very demanding, but we do cover a lot. At the end of the term making a lecture trying to summarise the book (like http://tinyurl.com/RECOMBINATORICS). We sometimes also submit a review of the book. Past books we have read include:
- Mathematical Chemistry and Chemoinformatics, by A. Kerber et al. (summary part I and part II)
- Phylogeny: Discrete and random processes in evolution, by M. Steel (review published on SIAM News Blog: part I, part II, part III)
- Bayesian Methods in Structural Bioinformatics, edited by
T. Hamelryck, K. Mardia and J. Ferkinghoff-Borg
-
Phylogenetics, by C. Semple and M. A. Steel
- Protein Physics – A course of lectures, by A. V. Finkelstein and O. Ptitsyn (summary slides)
- An introduction to Chemoinformatics, by A. R. Leach and V.J. Gillet
- Models of Life, by K. Sneppen
- Infectious diseases of humans, by R. M. Anderson and R. M. May
- The regulation of cellular systems, by R. Heinrich and S. Schuster
- Differential equations, dynamical systems and linear algebra, by M. W. Hirsch and S. Smale
- Mathematical Biology I: An Introduction, by J. D. Murray
- Mathematical Biology II: Spatial Models and Biomedical Applications, by J. D. Murray
- Mathematical Models of Social Evolution: A Guide for the Perplexed, by R. McElreath and R. Boyd
- Molecular Evolution: A statistical Approach, by Z. Yang
- ReCombinatorics – The Algoritms of ancestral recombination graphs and explicit phylogenetic networks, by D. Gusfield
- Computational Cell Biology, edited by C. P. Fall et al.
- Statistical Methods in Bioinformatics, by W. J. Ewens and G. R. Gran
HEIN RESEARCH 