def computeFrequency(prefix, outPrefix):
    """Computes the frequency of the SNPs using Plink.

    :param prefix: the prefix of the input files.
    :param outPrefix: the prefix of the output files.

    :type prefix: str
    :type outPrefix: str

    :returns: a :py:class:`dict` containing the frequency of each marker.

    Start by computing the frequency of all markers using Plink. Then, it reads
    the output file, and saves the frequency and allele information.

    """
    # The plink command
    plinkCommand = ["plink", "--noweb", "--tfile", prefix, "--freq", "--out",
                    outPrefix + ".duplicated_snps"]
    runCommand(plinkCommand)

    # Reading the frequency file
    snpFreq = {}
    try:
        with open(outPrefix + ".duplicated_snps.frq", "r") as inputFile:
            headerIndex = None
            for i, line in enumerate(inputFile):
                row = createRowFromPlinkSpacedOutput(line)
                if i == 0:
                    # This is the header
                    headerIndex = dict([
                        (row[j], j) for j in xrange(len(row))
                    ])

                    # Checking the column titles
                    for columnTitle in ["SNP", "MAF", "A1", "A2"]:
                        if columnTitle not in headerIndex:
                            msg = "%(outPrefix)s.duplicated_snps.frq: no " \
                                  "column called %(columnTitle)s" % locals()
                            raise ProgramError(msg)
                else:
                    # This is data
                    snpName = row[headerIndex["SNP"]]
                    maf = row[headerIndex["MAF"]]
                    a1 = row[headerIndex["A1"]]
                    a2 = row[headerIndex["A2"]]
                    try:
                        if maf == "NA":
                            maf = 0.0
                        else:
                            maf = float(maf)
                    except ValueError:
                        msg = "%(outPrefix)s.duplicated_snps.frq: %(maf)s: " \
                              "not a valid MAF" % locals()
                        raise ProgramError(msg)
                    snpFreq[snpName] = (maf, (a1, a2))
    except IOError:
        msg = "%(outPrefix)s.duplicated_snps.freq: no such file" % locals()
        raise ProgramError(msg)

    return snpFreq
Computes the frequency of the SNPs using Plink.

    :param prefix: the prefix of the input files.
    :param outPrefix: the prefix of the output files.

    :type prefix: str
    :type outPrefix: str

    :returns: a :py:class:`dict` containing the frequency of each marker.

    Start by computing the frequency of all markers using Plink. Then, it reads
    the output file, and saves the frequency and allele information.