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November 3, 2017 16:30
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| import itertools | |
| import pandas as pd | |
| barcode_labels = pd.read_excel('IDT_DM-96 barcode-for hiseq.xlsx') | |
| sample_1_list = barcode_labels['Index_Name'].str.slice(0, 6) | |
| sample_2_list = barcode_labels['Index_Name'].str.slice(6, 11) | |
| sample_name_combs = itertools.product(sample_1_list, sample_2_list) | |
| sample_name_combs_list = list(sample_name_combs) | |
| sample_name_combs_df = pd.DataFrame(sample_name_combs_list) | |
| sample_name_combs_df['merged'] = sample_name_combs_df.iloc[:,0] + sample_name_combs_df.iloc[:,1] | |
| barcode_sequence_combs = itertools.product(barcode_labels['P5'], umi_labels['P7']) | |
| barcode_sequence_combs = pd.DataFrame(list(barcode_sequence_combs)) | |
| result = pd.concat([sample_name_combs_df['merged'], barcode_sequence_combs], axis=1) | |
| result.columns = ['merged', 'P5', 'P7'] | |
| result['sequence_merged'] = result['P5'] + '-' + result['P7'] | |
| result.to_csv('all_combinations_merged.csv', index=False) | |
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