pyprophet/main.py
def ipf(infile, outfile, ipf_ms1_scoring, ipf_ms2_scoring, ipf_h0, ipf_grouped_fdr, ipf_max_precursor_pep, ipf_max_peakgroup_pep, ipf_max_precursor_peakgroup_pep, ipf_max_transition_pep):
    """
    Infer peptidoforms after scoring of MS1, MS2 and transition-level data.
    """

    if outfile is None:
        outfile = infile
    else:
        outfile = outfile

    infer_peptidoforms(infile, outfile, ipf_ms1_scoring, ipf_ms2_scoring, ipf_h0, ipf_grouped_fdr, ipf_max_precursor_pep, ipf_max_peakgroup_pep, ipf_max_precursor_peakgroup_pep, ipf_max_transition_pep)
def ipf(infile, outfile, ipf_ms1_scoring, ipf_ms2_scoring, ipf_h0, ipf_grouped_fdr, ipf_max_precursor_pep, ipf_max_peakgroup_pep, ipf_max_precursor_peakgroup_pep, ipf_max_transition_pep):
    if outfile is None:
        outfile = infile
    else:
        outfile = outfile

    infer_peptidoforms(infile, outfile, ipf_ms1_scoring, ipf_ms2_scoring, ipf_h0, ipf_grouped_fdr, ipf_max_precursor_pep, ipf_max_peakgroup_pep, ipf_max_precursor_peakgroup_pep, ipf_max_transition_pep)
def ipf ( infile , outfile , ipf_ms1_scoring , ipf_ms2_scoring , ipf_h0 , ipf_grouped_fdr , ipf_max_precursor_pep , ipf_max_peakgroup_pep , ipf_max_precursor_peakgroup_pep , ipf_max_transition_pep ) : if outfile is None : outfile = infile else : outfile = outfile infer_peptidoforms ( infile , outfile , ipf_ms1_scoring , ipf_ms2_scoring , ipf_h0 , ipf_grouped_fdr , ipf_max_precursor_pep , ipf_max_peakgroup_pep , ipf_max_precursor_peakgroup_pep , ipf_max_transition_pep )
Infer peptidoforms after scoring of MS1, MS2 and transition-level data.
Infer peptidoforms after scoring of MS1 MS2 and transition - level data .