Pitfalls of the most commonly used models of context dependent substitution
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* Corresponding author: Gavin A Huttley Gavin.Huttley@anu.edu.au
1 Computational Genomics Laboratory, John Curtin School of Medical Research, The Australian National University, Canberra, ACT 0200, Australia
2 Department of Statistics and Applied Probability, National University of Singapore, Kent Ridge, Singapore
Biology Direct 2008, 3:52 doi:10.1186/1745-6150-3-52
Published: 16 December 2008Additional files
Additional file 1:
Modified version of PyCogent library. Archive of the PyCogent library developed for this study from PyCogent version 1.1.
Format: ZIP Size: 1.6MB Download file or display content in a new window
Additional file 2:
Scripts used in the study. Archive of stand-alone web site presenting the central scripts used in this study.
Format: ZIP Size: 70KB Download file or display content in a new window
