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#!/usr/bin/env python
# Copyright (c) 2015. Mount Sinai School of Medicine
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Print list of supported class I alleles for which
trained models are available
"""
import argparse
import os
import pandas as pd
from mhcflurry.paths import CLASS1_MODEL_DIRECTORY, CLASS1_DATA_CSV_PATH
parser = argparse.ArgumentParser()
parser.add_argument(
"--with-peptide-lengths",
default=False,
action="store_true")
parser.add_argument("--with-dataset-size",
default=False,
action="store_true")
parser.add_argument("--all",
default=False,
action="store_true",
help="Include serotypes (like 'A2') which include multiple 4-digit types")
if __name__ == "__main__":
args = parser.parse_args()
if args.with_dataset_size:
df = pd.read_csv(CLASS1_DATA_CSV_PATH)
allele_sizes = {
allele: len(group) for (allele, group) in df.groupby("mhc")
}
else:
allele_sizes = None
for filename in os.listdir(CLASS1_MODEL_DIRECTORY):
allele = filename.replace(".hdf", "")
if len(allele) >= 5:
allele = "HLA-%s*%s:%s" % (allele[0], allele[1:3], allele[3:])
elif args.all:
allele = "HLA-%s" % allele
else:
# skipping serotype names like A2 or B7
continue
line += "\t8,9,10,11,12"
if args.with_dataset_size:
line += "\t%d" % allele_sizes[allele]
print(line)