def METHOD_NAME(self):
    """Find bamtools stats reports and parse their data"""
    # Set up vars
    self.bamtools_stats_data = dict()
    regexes = {
        "total_reads": r"Total reads:\s*(\d+)",
        "mapped_reads": r"Mapped reads:\s*(\d+)",
        "mapped_reads_pct": r"Mapped reads:\s*\d+\s+\(([\d\.]+)%\)",
        "forward_strand": r"Forward strand:\s*(\d+)",
        "forward_strand_pct": r"Forward strand:\s*\d+\s+\(([\d\.]+)%\)",
        "reverse_strand": r"Reverse strand:\s*(\d+)",
        "reverse_strand_pct": r"Reverse strand:\s*\d+\s+\(([\d\.]+)%\)",
        "failed_qc": r"Failed QC:\s*(\d+)",
        "failed_qc_pct": r"Failed QC:\s*\d+\s+\(([\d\.]+)%\)",
        "duplicates": r"Duplicates:\s*(\d+)",
        "duplicates_pct": r"Duplicates:\s*\d+\s+\(([\d\.]+)%\)",
        "paired_end": r"Paired-end reads:\s*(\d+)",
        "paired_end_pct": r"Paired-end reads:\s*\d+\s+\(([\d\.]+)%\)",
        "proper_pairs": r"'Proper-pairs'\s*(\d+)",
        "proper_pairs_pct": r"'Proper-pairs'\s*\d+\s+\(([\d\.]+)%\)",
        "both_mapped": r"Both pairs mapped:\s*(\d+)",
        "both_mapped_pct": r"Both pairs mapped:\s*\d+\s+\(([\d\.]+)%\)",
        "read_1": r"Read 1:\s*(\d+)",
        "read_2": r"Read 2:\s*(\d+)",
        "singletons": r"Singletons:\s*(\d+)",
        "singletons_pct": r"Singletons:\s*\d+\s+\(([\d\.]+)%\)",
    }
    # Go through files and parse data using regexes
    for f in self.find_log_files("bamtools/stats"):
        d = dict()
        for k, r in regexes.items():
            r_search = re.search(r, f["f"], re.MULTILINE)
            if r_search:
                d[k] = float(r_search.group(1))
        if len(d) > 0:
            if f["s_name"] in self.bamtools_stats_data:
                log.debug("Duplicate sample name found! Overwriting: {}".format(f["s_name"]))
            self.add_data_source(f, section="stats")
            self.bamtools_stats_data[f["s_name"]] = d
    # Filter to strip out ignored sample names
    self.bamtools_stats_data = self.ignore_samples(self.bamtools_stats_data)
    if len(self.bamtools_stats_data) > 0:
        # Write to file
        self.write_data_file(self.bamtools_stats_data, "multiqc_bamtools_stats")
        # Add to general stats table
        self.general_stats_headers["duplicates_pct"] = {
            "title": "% Duplicates",
            "description": "% Duplicate Reads",
            "max": 100,
            "min": 0,
            "suffix": "%",
            "scale": "OrRd",
        }
        self.general_stats_headers["mapped_reads_pct"] = {
            "title": "% Mapped",
            "description": "% Mapped Reads",
            "max": 100,
            "min": 0,
            "suffix": "%",
            "scale": "RdYlGn",
        }
        for s_name in self.bamtools_stats_data:
            if s_name not in self.general_stats_data:
                self.general_stats_data[s_name] = dict()
            self.general_stats_data[s_name].update(self.bamtools_stats_data[s_name])
        # Make dot plot of counts
        keys = OrderedDict()
        defaults = {"min": 0, "max": 100, "decimalPlaces": 2, "suffix": "%"}
        num_defaults = {"min": 0, "modify": lambda x: float(x) / 1000000.0, "decimalPlaces": 2}
        keys["total_reads"] = dict(num_defaults, **{"title": "Total reads", "description": "Total reads (millions)"})
        keys["mapped_reads_pct"] = dict(defaults, **{"title": "Mapped reads"})
        keys["forward_strand_pct"] = dict(defaults, **{"title": "Forward strand"})
        keys["reverse_strand_pct"] = dict(defaults, **{"title": "Reverse strand"})
        keys["failed_qc_pct"] = dict(defaults, **{"title": "Failed QC"})
        keys["duplicates_pct"] = dict(defaults, **{"title": "Duplicates"})
        keys["paired_end_pct"] = dict(defaults, **{"title": "Paired-end", "description": "Paired-end reads"})
        keys["proper_pairs_pct"] = dict(defaults, **{"title": "Proper-pairs"})
        keys["both_mapped_pct"] = dict(defaults, **{"title": "Both mapped", "description": "Both pairs mapped"})
        keys["bt_read_1"] = dict(num_defaults, **{"title": "Read 1", "description": "Read 1 (millions)"})
        keys["bt_read_2"] = dict(num_defaults, **{"title": "Read 2", "description": "Read 2 (millions)"})
        keys["singletons_pct"] = dict(defaults, **{"title": "Singletons"})
        self.add_section(
            name="Bamtools Stats", anchor="bamtools-stats", plot=beeswarm.plot(self.bamtools_stats_data, keys)
        )
    # Return number of samples found
    return len(self.bamtools_stats_data)