Mercurial > repos > ieguinoa > ena_upload
comparison extract_tables.py @ 15:d85e35a36715 draft
Uploaded
author | ieguinoa |
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date | Thu, 24 Sep 2020 10:14:41 +0000 |
parents | 436da36c6114 |
children | d7a88a8a8f5f |
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14:436da36c6114 | 15:d85e35a36715 |
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14 | 14 |
15 studies_table = open(pathlib.Path(args.out_path) / 'studies.tsv', 'w') | 15 studies_table = open(pathlib.Path(args.out_path) / 'studies.tsv', 'w') |
16 studies_table.write('\t'.join(['alias','status','accession','title','study_type','study_abstract','pubmed_id','submission_date']) + '\n') | 16 studies_table.write('\t'.join(['alias','status','accession','title','study_type','study_abstract','pubmed_id','submission_date']) + '\n') |
17 | 17 |
18 samples_table = open(pathlib.Path(args.out_path) / 'samples.tsv', 'w') | 18 samples_table = open(pathlib.Path(args.out_path) / 'samples.tsv', 'w') |
19 samples_table.write('\t'.join(['alias','status','accession','title','scientific_name','taxon_id','sample_description','submission_date']) + '\n') | |
20 | 19 |
21 experiments_table = open(pathlib.Path(args.out_path) / 'experiments.tsv', 'w') | 20 experiments_table = open(pathlib.Path(args.out_path) / 'experiments.tsv', 'w') |
22 experiments_table.write('\t'.join(['alias','status','accession','title','study_alias','sample_alias','design_description','library_name','library_strategy','library_source','library_selection','library_layout','insert_size','library_construction_protocol','platform','instrument_model','submission_date'])+ '\n') | 21 experiments_table.write('\t'.join(['alias','status','accession','title','study_alias','sample_alias','design_description','library_name','library_strategy','library_source','library_selection','library_layout','insert_size','library_construction_protocol','platform','instrument_model','submission_date'])+ '\n') |
23 | 22 |
24 runs_table = open(pathlib.Path(args.out_path) / 'runs.tsv', 'w') | 23 runs_table = open(pathlib.Path(args.out_path) / 'runs.tsv', 'w') |
25 runs_table.write('\t'.join(['alias','status','accession','experiment_alias','file_name','file_format','file_checksum','submission_date'])+ '\n') | 24 runs_table.write('\t'.join(['alias','status','accession','experiment_alias','file_name','file_format','file_checksum','submission_date'])+ '\n') |
26 | 25 |
27 action = 'add' | 26 action = 'add' |
27 viral_submission = False | |
28 for study_index, study in enumerate(studies_dict): | 28 for study_index, study in enumerate(studies_dict): |
29 study_alias = 'study_'+str(study_index) | 29 study_alias = 'study_'+str(study_index) |
30 studies_table.write('\t'.join([study_alias,action,'ENA_accession',study['title'], study['type'],study['abstract'],study['pubmed_id'],'ENA_submission_data'])) | 30 studies_table.write('\t'.join([study_alias,action,'ENA_accession',study['title'], study['type'],study['abstract'],study['pubmed_id'],'ENA_submission_data'])) |
31 if "geo_location" in study['samples'][0].keys(): # sample belongs to a viral sample | |
32 samples_table.write('\t'.join(['alias','status','accession','title','scientific_name','taxon_id','sample_description','collection_date','geographic_location','host_common_name','host_subject_id','host_health_state','host_sex','host_scientific_name','collector_name','collecting_institution','isolate','submission_date']) + '\n') | |
33 else: | |
34 samples_table.write('\t'.join(['alias','status','accession','title','scientific_name','taxon_id','sample_description','submission_date']) + '\n') | |
31 for sample_index,sample in enumerate(study['samples']): | 35 for sample_index,sample in enumerate(study['samples']): |
32 sample_alias = 'sample_'+str(sample_index) | 36 sample_alias = 'sample_'+str(sample_index) |
33 samples_table.write('\t'.join([sample_alias,action,'ena_accession',sample['title'],sample['tax_name'], sample['tax_id'],sample['description'],'ENA_submission_date'])+ '\n') | 37 if "geo_location" in sample.keys(): # sample belongs to a viral sample |
38 if sample['collector_name'] == '': | |
39 sample['collector_name'] = 'unknown' | |
40 samples_table.write('\t'.join([sample_alias,action,'ena_accession',sample['title'],sample['tax_name'], sample['tax_id'],sample['description'],sample['collection_date'],sample['geo_location'],sample['host_common_name'],sample['host_subject_id'],sample['host_health_state'],sample['host_sex'],sample['host_scientific_name'],sample['collector_name'],sample['collecting_institution'],sample['isolate'],'ENA_submission_date'])+ '\n') | |
41 else: | |
42 samples_table.write('\t'.join([sample_alias,action,'ena_accession',sample['title'],sample['tax_name'], sample['tax_id'],sample['description'],'ENA_submission_date'])+ '\n') | |
34 for exp_index,exp in enumerate(sample['experiments']): | 43 for exp_index,exp in enumerate(sample['experiments']): |
35 exp_alias = 'experiment_'+str(exp_index)+'_'+str(sample_index) | 44 exp_alias = 'experiment_'+str(exp_index)+'_'+str(sample_index) |
36 lib_alias = 'library_'+str(exp_index)+'_'+str(sample_index) | 45 lib_alias = 'library_'+str(exp_index)+'_'+str(sample_index) |
37 experiments_table.write('\t'.join([exp_alias,action,'accession_ena',exp['title'],study_alias,sample_alias,exp['experiment_design'],lib_alias,exp['library_strategy'],exp['library_source'],exp['library_selection'],exp['library_layout'],exp['insert_size'],exp['library_construction_protocol'],exp['platform'],exp['instrument_model'],'submission_date_ENA']) + '\n') | 46 experiments_table.write('\t'.join([exp_alias,action,'accession_ena',exp['title'],study_alias,sample_alias,exp['experiment_design'],lib_alias,exp['library_strategy'],exp['library_source'],exp['library_selection'],exp['library_layout'].lower(),exp['insert_size'],exp['library_construction_protocol'],exp['platform'],exp['instrument_model'],'submission_date_ENA']) + '\n') |
38 run_index = 0 | 47 run_index = 0 |
39 # exp['runs'] is a list of lists | 48 # exp['runs'] is a list of lists |
40 for run in exp['runs']: | 49 for run in exp['runs']: |
41 run_index += 1 | 50 run_index += 1 |
42 run_alias = '_'.join(['run',str(exp_index),str(sample_index),str(run_index)]) | 51 run_alias = '_'.join(['run',str(exp_index),str(sample_index),str(run_index)]) |
43 for file_entry in run: | 52 for file_entry in run: |
44 file_format = 'fastq.gz' if os.path.splitext(file_entry)[-1] == '.gz' else 'fastq.bz2' | 53 file_format = 'fastq' |
45 runs_table.write('\t'.join([run_alias,action,'ena_run_accession',exp_alias,file_entry,file_format,'file_checksum','submission_date_ENA']) + '\n') | 54 runs_table.write('\t'.join([run_alias,action,'ena_run_accession',exp_alias,file_entry,file_format,'file_checksum','submission_date_ENA']) + '\n') |
46 | 55 |
47 studies_table.close() | 56 studies_table.close() |
48 samples_table.close() | 57 samples_table.close() |
49 experiments_table.close() | 58 experiments_table.close() |