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author | zsloan | 2022-03-22 19:02:15 +0000 |
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committer | zsloan | 2022-03-22 19:02:15 +0000 |
commit | a49da43ba00245cf23a2b72c314127986f567f28 (patch) | |
tree | ce64e83370c52add94927bc050febf5d242722db /scripts/insert_expression_data.py | |
parent | 68ac19153b128f60b660e11365e5fd4304c95300 (diff) | |
parent | 32cb57b82db328bc84753af9d25e9aaa1bd31152 (diff) | |
download | genenetwork2-a49da43ba00245cf23a2b72c314127986f567f28.tar.gz |
Merge remote-tracking branch 'origin/testing' into feature/add_rqtl_pairscan
Diffstat (limited to 'scripts/insert_expression_data.py')
-rw-r--r-- | scripts/insert_expression_data.py | 203 |
1 files changed, 203 insertions, 0 deletions
diff --git a/scripts/insert_expression_data.py b/scripts/insert_expression_data.py new file mode 100644 index 00000000..3d93c9f4 --- /dev/null +++ b/scripts/insert_expression_data.py @@ -0,0 +1,203 @@ +# !/usr/bin/python3 +"""This script use the nearest marker to the transcript as control, increasing permutation rounds according to the p-value""" + +######################################################################## +# Last Updated 3/11/2022 by Zach +######################################################################## +import csv +import string +import sys +import MySQLdb +import getpass +import time + +######################################################################## + +def translate_alias(str): + if str == "B6": + return "C57BL/6J" + elif str == "D2": + return "DBA/2J" + else: + return str + + +######################################################################## +# +# Indicate Data Start Position, ProbeFreezeId, gene_chip_id, DataFile +# +######################################################################## + +data_start = 1 + +gene_chip_id = int(input("Enter GeneChipId:")) +probeset_freeze_id = int(input("Enter ProbeSetFreezeId:")) +input_file_name = input("Enter file name with suffix:") + +try: + passwd = getpass.getpass('Please enter mysql password here : ') + conn = MySQLdb.Connect(db='db_webqtl', host='localhost', user='webqtlout', passwd=passwd) + + db = conn.cursor() + + print + "You have successfully connected to mysql.\n" +except: + print + "You entered incorrect password.\n" + sys.exit(0) + +time0 = time.time() + +######################################################################### +# +# Check if each line have same number of members +# generate the gene list of expression data here +# +######################################################################### +print +'Checking if each line have same number of members' + +gene_list = [] +strain_list = [] +trait_data = [] + +with open(input_file_name, "r") as csvfile: + reader = csv.DictReader(csvfile, delimiter="\t") + + kj = 0 + for line in reader: + trait_data.append(line) + + # Get the strain list; only need to get it once + if kj == 0: + strain_list = [item for item in line.keys() if item != "ProbeSetID"] + print("STRAIN LIST:", strain_list) + + gene_list.append(line['ProbeSetID']) + + if kj % 100000 == 0: + print(f"checked {kj} lines") + kj += 1 + +gene_list.sort() + +print(f"used {time.time() - time0} seconds") +######################################################################### +# +# Check if each strain exist in database +# generate the string id list of expression data here +# +######################################################################### +print('Checking if each strain exists in database') + +strain_list = map(translate_alias, strain_list) + +strain_ids = {} +for item in strain_list: + try: + db.execute(f'select Id from Strain where Name = "{item}" AND SpeciesId=1') + strain_ids[item] = db.fetchone()[0] + except: + print(f"{item} does not exist, check the if the strain name is correct") + sys.exit(0) + +print(f"Used {time.time() - time0} seconds") + +######################################################################## +# +# Check if each ProbeSet exist in database +# +######################################################################## +print("Check if each ProbeSet exists in database") + + +# Check whether ProbeSetIDs are Name or TargetId (if not Name, assume to be TargetId) +id_type = "TargetId" +db.execute(f"select Id from ProbeSet where Name='{gene_list[0]}' and ChipId={gene_chip_id}") +if len(db.fetchall()): + id_type = "Name" + +## Get Name/TargetId + ID list from database +db.execute(f"select {id_type}, Id from ProbeSet where ChipId={gene_chip_id} order by {id_type}") +records_from_db = db.fetchall() + +record_names = [item[0] for item in records_from_db] +record_names.sort() + +# Compare gene_list with gene_names +invalid_records = [] +lowercase_records = [name2.lower() for name2 in record_names] +for name in gene_list: + if name.lower() not in lowercase_records: + invalid_records.append(name) + +if len(invalid_records): + with open("ProbeSetError.txt", "wb") as error_fh: + for item in invalid_records: + error_fh.write(f"{item} doesn't exist, cheeck if the ProbeSet name is correct \n") + sys.exit(0) + +print(f"used {time.time() - time0} seconds") +######################################################################### +# +# Insert data into database +# +######################################################################### +print("getting ProbeSet Name + Id") +record_ids = {} +for record in records_from_db: + record_ids[record[0]] = record[1] + +print(f"used {time.time() - time0} seconds") + +print("inserting data") + +# Get old max dataId +db.execute('select max(Id) from ProbeSetData') +latest_data_id = int(db.fetchone()[0]) +print(f"Latest DataId = {latest_data_id}") + +# Insert data +probeset_data_values = [] +probeset_xref_values = [] +for i, item in enumerate(trait_data): + latest_data_id += 1 + + + probeset_id = item['ProbeSetID'] + item.pop('ProbeSetID') + sample_data = item + for strain in sample_data: + probeset_data_values.append(f"({latest_data_id},{strain_ids[strain]},{float(sample_data[strain])})") + + probeset_xref_values.append(f"({probeset_freeze_id},{record_ids[probeset_id]},{latest_data_id})") + + # Insert into tables for every 100 traits + if i % 100 == 0: + data_query = f"INSERT INTO ProbeSetData VALUES {','.join(probeset_data_values)}" + db.execute(data_query) + + xref_query = ( + "INSERT INTO ProbeSetXRef(ProbeSetFreezeId, ProbeSetId, DataId) " + f"VALUES {','.join(probeset_xref_values)}") + db.execute(xref_query) + + probeset_data_values = [] + probeset_xref_values = [] + + print(f"Inserted {i} lines") + print(f"Used {time.time() - time0} seconds") + +# Insert the remainder (since the loop above only inserts every 100 traits) +if len(probeset_data_values): + data_query = f"INSERT INTO ProbeSetData VALUES {','.join(probeset_data_values)}" + db.execute(data_query) + + xref_query = ( + "INSERT INTO ProbeSetXRef(ProbeSetFreezeId, ProbeSetId, DataId) " + f"VALUES {','.join(probeset_xref_values)}") + db.execute(xref_query) + +conn.commit() +conn.close() |