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Approximate Bayesian bisulphite sequencing analysis
Owen J.L. Rackham, Sarah R. Langley, Thomas Oates, Eleni Vradi, Nathan Harmston, Prashant K. Srivastava, Jacques Behmoaras, Petros Dellaportas, Leonardo Bottolo, Enrico Petretto
doi: https://doi.org/10.1101/041715
Owen J.L. Rackham
1Duke-NUS Medical School, Singapore;
Sarah R. Langley
1Duke-NUS Medical School, Singapore;
Thomas Oates
2Clinical Sciences Centre, Imperial College London, UK;
Eleni Vradi
3Department of Statistics, Athens University of Economics and Business, GR;
Nathan Harmston
1Duke-NUS Medical School, Singapore;
Prashant K. Srivastava
4Division of Brain Sciences, Imperial College Faculty of Medicine, UK;
Jacques Behmoaras
5Centre for Complement and Inflammation Research, Imperial College London, UK;
Petros Dellaportas
6Department of Statistics, University College London, UK;
Leonardo Bottolo
7Department of Medical Genetics, University of Cambridge, UK;
8Department of Mathematics, Imperial College London, UK.
Enrico Petretto
1Duke-NUS Medical School, Singapore;
Article usage
Posted February 29, 2016.
Approximate Bayesian bisulphite sequencing analysis
Owen J.L. Rackham, Sarah R. Langley, Thomas Oates, Eleni Vradi, Nathan Harmston, Prashant K. Srivastava, Jacques Behmoaras, Petros Dellaportas, Leonardo Bottolo, Enrico Petretto
bioRxiv 041715; doi: https://doi.org/10.1101/041715
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