Description Usage Arguments Value Author(s) References Examples
Function used to compute new profile scoring matrices in the event that the user wishes to retrain SCORER 2.0 with his own training data
1 | CreatePssm(training.data, var)
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training.data |
A dataframe or matrix with three columns containing the information of n coiled-coil sequences. The three columns must be named "sequence", "register" and "type". The order of the columns in the dataframe does not matter
|
var |
A list of two elements containing all valid amino-acid and register characters. |
returns a profile scoring matrix derived from inputted training data
Thomas L. Vincent tlfvincent@gmail.com
Craig T. Armstrong, Thomas L. Vincent, Peter J. Green and Dek N. Woolfson. (2011) SCORER 2.0: an algortihm for distinguishing parallel dimeric and trimeric coiled-coil sequences. Bioinformatics. DOI: 10.1093/bioinformatics/btr299
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