flowcraft/templates/fastqc_report.py
def get_sample_trim(p1_data, p2_data):
    """Get the optimal read trim range from data files of paired FastQ reads.

    Given the FastQC data report files for paired-end FastQ reads, this
    function will assess the optimal trim range for the 3' and 5' ends of
    the paired-end reads. This assessment will be based on the *'Per sequence
    GC content'*.

    Parameters
    ----------
    p1_data: str
        Path to FastQC data report file from pair 1
    p2_data: str
        Path to FastQC data report file from pair 2

    Returns
    -------
    optimal_5trim: int
        Optimal trim index for the 5' end of the reads
    optima_3trim: int
        Optimal trim index for the 3' end of the reads

    See Also
    --------
    trim_range

    """

    sample_ranges = [trim_range(x) for x in [p1_data, p2_data]]

    # Get the optimal trim position for 5' end
    optimal_5trim = max([x[0] for x in sample_ranges])
    # Get optimal trim position for 3' end
    optimal_3trim = min([x[1] for x in sample_ranges])

    return optimal_5trim, optimal_3trim
def get_sample_trim(p1_data, p2_data):
    sample_ranges = [trim_range(x) for x in [p1_data, p2_data]]

    # Get the optimal trim position for 5' end
    optimal_5trim = max([x[0] for x in sample_ranges])
    # Get optimal trim position for 3' end
    optimal_3trim = min([x[1] for x in sample_ranges])

    return optimal_5trim, optimal_3trim
def get_sample_trim ( p1_data , p2_data ) : sample_ranges = [ trim_range ( x ) for x in [ p1_data , p2_data ] ] # Get the optimal trim position for 5' end optimal_5trim = max ( [ x [ 0 ] for x in sample_ranges ] ) # Get optimal trim position for 3' end optimal_3trim = min ( [ x [ 1 ] for x in sample_ranges ] ) return optimal_5trim , optimal_3trim
Get the optimal read trim range from data files of paired FastQ reads.

    Given the FastQC data report files for paired-end FastQ reads, this
    function will assess the optimal trim range for the 3' and 5' ends of
    the paired-end reads. This assessment will be based on the *'Per sequence
    GC content'*.

    Parameters
    ----------
    p1_data: str
        Path to FastQC data report file from pair 1
    p2_data: str
        Path to FastQC data report file from pair 2

    Returns
    -------
    optimal_5trim: int
        Optimal trim index for the 5' end of the reads
    optima_3trim: int
        Optimal trim index for the 3' end of the reads

    See Also
    --------
    trim_range
Get the optimal read trim range from data files of paired FastQ reads .