Esempio n. 1
0
def process_nxmate_reads(dataset_data, dst, log):
    try:
        import lucigen_nxmate
        new_dataset_data = list()
        for reads_library in dataset_data:
            new_reads_library = dict(reads_library)
            if new_reads_library['type'] == 'nxmate':
                raw_left_reads = new_reads_library['left reads']
                raw_right_reads = new_reads_library['right reads']
                new_reads_library['left reads'] = []
                new_reads_library['right reads'] = []
                new_reads_library['single reads'] = []
                for id, left_reads_fpath in enumerate(raw_left_reads):
                    right_reads_fpath = raw_right_reads[id]
                    processed_left_reads_fpath, processed_right_reads_fpath, single_reads_fpath = \
                        lucigen_nxmate.process_reads(left_reads_fpath, right_reads_fpath, dst, log)
                    new_reads_library['left reads'].append(
                        processed_left_reads_fpath)
                    new_reads_library['right reads'].append(
                        processed_right_reads_fpath)
                    new_reads_library['single reads'].append(
                        single_reads_fpath)
                new_reads_library['type'] = 'mate-pairs'
                new_reads_library['orientation'] = 'fr'
            new_dataset_data.append(new_reads_library)
        return new_dataset_data
    except ImportError:
        error(
            "Can't process Lucigen NxMate reads! lucigen_nxmate.py is missing!",
            log)
Esempio n. 2
0
def process_nxmate_reads(dataset_data, dst, log):
    try:
        import lucigen_nxmate
        new_dataset_data = list()
        for reads_library in dataset_data:
            new_reads_library = dict(reads_library)
            if new_reads_library['type'] == 'nxmate':
                raw_left_reads = new_reads_library['left reads']
                raw_right_reads = new_reads_library['right reads']
                new_reads_library['left reads'] = []
                new_reads_library['right reads'] = []
                new_reads_library['single reads'] = []
                for id, left_reads_fpath in enumerate(raw_left_reads):
                    right_reads_fpath = raw_right_reads[id]
                    processed_left_reads_fpath, processed_right_reads_fpath, single_reads_fpath = \
                        lucigen_nxmate.process_reads(left_reads_fpath, right_reads_fpath, dst, log)
                    new_reads_library['left reads'].append(processed_left_reads_fpath)
                    new_reads_library['right reads'].append(processed_right_reads_fpath)
                    new_reads_library['single reads'].append(single_reads_fpath)
                new_reads_library['type'] = 'mate-pairs'
                new_reads_library['orientation'] = 'fr'
            new_dataset_data.append(new_reads_library)
        return new_dataset_data
    except ImportError:
        error("Can't process Lucigen NxMate reads! lucigen_nxmate.py is missing!", log)
Esempio n. 3
0
def main():
    args = parse_args()

    # create logger
    log = logging.getLogger("Preprocess Lucigen NxMate reads")
    log.setLevel(logging.DEBUG)
    console = logging.StreamHandler(sys.stdout)
    console.setFormatter(logging.Formatter("%(message)s"))
    console.setLevel(logging.DEBUG)
    log.addHandler(console)

    try:
        with open(args.args_filename) as f:
            lines = f.readlines()
            for infile1, infile2 in zip(lines[0::2], lines[1::2]):
                lucigen_nxmate.process_reads(infile1, infile2, args.dst, log,
                                             args.threads)
    except ImportError:
        support.error(
            "can't process Lucigen NxMate reads! lucigen_nxmate.py is missing!",
            log)