msaClustalOmega(inputSeqs, cluster="default", gapOpening="default", gapExtension="default", maxiters="default",  substitutionMatrix="default", type="default", order=c("aligned", "input"), verbose=FALSE, help=FALSE, ...)msa.
    In the original ClustalOmega implementation, this
    parameter is called infile.cluster-size.msa. However, setting these parameters to values
    other than "default" will result in a warning.iterations."BLOSUM30", "BLOSUM40", "BLOSUM50",
    "BLOSUM65", "BLOSUM80", and "Gonnet".
    This parameter is a new feature - the original ClustalOmega
    implementation does not allow for using a custom substitution matrix.inputSeqs;
    see msa.msa); in the original ClustalW implementation, this
    parameter is called output-order.TRUE, the algorithm displays detailed
    information and progress messages.TRUE, information about algorithm-specific
    parameters is displayed. In this case, no multiple sequence
    alignment is performed and the function quits after displaying
    the additional help information.msaClustalOmega with help=TRUE.
    For more details, see also the documentation of ClustalOmega.msaClustalOmega returns a
   MsaAAMultipleAlignment, 
   MsaDNAMultipleAlignment, or
   MsaRNAMultipleAlignment object.
   If called with help=TRUE, msaClustalOmega returns
   an invisible NULL.
inputSeqs argument above). Parameters that
  are common to all multiple sequences alignments provided by the
  msa package are explicitly provided by the function and named
  in the same for all algorithms. Most other parameters that are
  specific to ClustalOmega can be passed to ClustalOmega via additional
  arguments (see argument help above).Since ClustalOmega only allows for using built-in amino acid substitution matrices, it is hardly useful for multiple alignments of nucleotide sequences.
  For a note on the order of output sequences and direct reading from
  FASTA files, see msa.
http://www.clustal.org/omega/README Sievers, F., Wilm, A., Dineen, D., Gibson, T. J., Karplus, K., Li, W., Lopez, R., McWilliam, H., Remmert, M., Soeding, J., Thompson, J. D., and Higgins, D. G. (2011) Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol. Syst. Biol. 7:539. DOI: 10.1038/msb.2011.75.
msa, MsaAAMultipleAlignment,
  MsaDNAMultipleAlignment,
  MsaRNAMultipleAlignment,
  MsaMetaData
## read sequences
filepath <- system.file("examples", "exampleAA.fasta", package="msa")
mySeqs <- readAAStringSet(filepath)
## call msaClustalOmega with default values
msaClustalOmega(mySeqs)
## call msaClustalOmega with custom parameters
msaClustalOmega(mySeqs, auto=FALSE, cluster=120, dealign=FALSE,
                useKimura=FALSE, order="input", verbose=FALSE)
Run the code above in your browser using DataLab