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SIMPROT: Using an empirically determined indel distribution in simulations of protein evolution |
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| Authors: | Andy?Pang Andrew?D?Smith Paulo?AS?Nuin |
| Institution: | (1) Ontario Cancer Institute, University Health Network, Toronto, Ontario, Canada;(2) Dept. Medical Biophysics, University of Toronto, Toronto, Ontario, Canada;(3) Cold Spring Harbor Laboratory, , 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA |
| Abstract: | BackgroundGeneral protein evolution models help determine the baseline expectations for the evolution of sequences, and they have been extensively useful in sequence analysis and for the computer simulation of artificial sequence data sets. |
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