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Enrich2: a statistical framework for analyzing deep mutational scanning data
View ORCID ProfileAlan F. Rubin, Nathan Lucas, Sandra M. Bajjalieh, View ORCID ProfileAnthony T. Papenfuss, Terence P. Speed, View ORCID ProfileDouglas M. Fowler
doi: https://doi.org/10.1101/075150
Alan F. Rubin
1Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia.
2Department of Medical Biology, University of Melbourne, Melbourne, VIC 3010, Australia.
3Bioinformatics and Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia.
4Department of Genome Sciences, University of Washington, Seattle, WA 98195 USA.
Nathan Lucas
5Department of Pathology, University of Washington, Seattle, WA 98195 USA.
Sandra M. Bajjalieh
5Department of Pathology, University of Washington, Seattle, WA 98195 USA.
Anthony T. Papenfuss
1Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia.
2Department of Medical Biology, University of Melbourne, Melbourne, VIC 3010, Australia.
3Bioinformatics and Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia.
6Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC 3010, Australia.
7Department of Mathematics and Statistics, University of Melbourne, Melbourne, VIC 3010, Australia.
Terence P. Speed
1Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia.
7Department of Mathematics and Statistics, University of Melbourne, Melbourne, VIC 3010, Australia.
Douglas M. Fowler
4Department of Genome Sciences, University of Washington, Seattle, WA 98195 USA.
8Department of Bioengineering, University of Washington, Seattle, WA 98195 USA.
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Posted September 25, 2016.
Enrich2: a statistical framework for analyzing deep mutational scanning data
Alan F. Rubin, Nathan Lucas, Sandra M. Bajjalieh, Anthony T. Papenfuss, Terence P. Speed, Douglas M. Fowler
bioRxiv 075150; doi: https://doi.org/10.1101/075150
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