moved the genbank script in his specific directory

1 files changed, 395 insertions, 0 deletions

diff --git a/scripts/download_genbank_data/from_genbank_to_fasta_and_yaml.py b/scripts/download_genbank_data/from_genbank_to_fasta_and_yaml.py
new file mode 100755
index 0000000..d76f56b
--- /dev/null
+++ b/scripts/download_genbank_data/from_genbank_to_fasta_and_yaml.py
@@ -0,0 +1,395 @@
+#!/usr/bin/env python3
+
+import argparse
+parser = argparse.ArgumentParser()
+parser.add_argument('--skip-request', action='store_true', help='skip metadata and sequence request', required=False)
+parser.add_argument('--only-missing-id', action='store_true', help='download only missing id', required=False)
+args = parser.parse_args()
+
+from Bio import Entrez
+Entrez.email = 'another_email@gmail.com'
+
+import xml.etree.ElementTree as ET
+import json
+import os
+import requests
+import sys
+
+from datetime import date
+from dateutil.parser import parse
+
+num_ids_for_request = 100
+
+dir_metadata = 'metadata_from_nuccore'
+dir_fasta_and_yaml = 'fasta_and_yaml'
+dir_dict_ontology_standardization = '../dict_ontology_standardization/'
+
+today_date = date.today().strftime("%Y.%m.%d")
+path_ncbi_virus_accession = 'sequences.{}.acc'.format(today_date)
+
+def is_integer(string_to_check):
+    try:
+        int(string_to_check)
+        return True
+    except ValueError:
+        return False
+
+def chunks(lst, n):
+    for i in range(0, len(lst), n):
+        yield lst[i:i + n]
+
+if os.path.exists(dir_metadata):
+    print("The directory '{}' already exists.".format(dir_metadata))
+
+    if not args.skip_request:
+        print("\tTo start the request, delete the directory '{}' or specify --skip-request.".format(dir_metadata))
+        sys.exit(-1)
+
+
+accession_already_downloaded_set = []
+
+if os.path.exists(dir_fasta_and_yaml):
+    print("The directory '{}' already exists.".format(dir_fasta_and_yaml))
+    if not args.only_missing_id:
+        print("To start the download, delete the directory '{}' or specify --only-missing-id.".format(dir_fasta_and_yaml))
+        sys.exit(-1)
+
+    accession_already_downloaded_set = set([x.split('.yaml')[0].split('.')[0] for x in os.listdir(dir_fasta_and_yaml) if x.endswith('.yaml')])
+    print('There are {} accession already downloaded.'.format(len(accession_already_downloaded_set)))
+
+
+if not os.path.exists(dir_metadata):
+    # Take all the ids
+    id_set = set()
+
+    # Try to search several strings
+    term_list = ['SARS-CoV-2', 'SARS-CoV2', 'SARS CoV2', 'SARSCoV2', 'txid2697049[Organism]']
+    for term in term_list:
+        tmp_list = Entrez.read(
+            Entrez.esearch(db='nuccore', term=term, idtype='acc', retmax='10000')
+        )['IdList']
+
+        # Remove mRNAs, ncRNAs, Proteins, and predicted models (more information here: https://en.wikipedia.org/wiki/RefSeq)
+        tmp_list = [x for x in tmp_list if x[:2] not in ['NM', 'NR', 'NP', 'XM', 'XR', 'XP', 'WP']]
+
+        # Remove the version in the id
+        tmp_list = [x.split('.')[0] for x in tmp_list]
+
+        #tmp_list = tmp_list[0:2] # restricting to small run
+        new_ids_set = set([x.split('.')[0] for x in tmp_list])
+        new_ids = len(new_ids_set.difference(id_set))
+        id_set.update(new_ids_set)
+
+        print('Term:', term, '-->', new_ids, 'new IDs from', len(tmp_list), '---> Total unique IDs:', len(id_set))
+
+    if not os.path.exists(path_ncbi_virus_accession):
+        r = requests.get('https://www.ncbi.nlm.nih.gov/genomes/VirusVariation/vvsearch2/?q=*:*&fq=%7B!tag=SeqType_s%7DSeqType_s:(%22Nucleotide%22)&fq=VirusLineageId_ss:(2697049)&cmd=download&sort=SourceDB_s%20desc,CreateDate_dt%20desc,id%20asc&dlfmt=acc&fl=id')
+        with open(path_ncbi_virus_accession, 'w') as fw:
+            fw.write(r.text)
+
+    with open(path_ncbi_virus_accession) as f:
+        tmp_list = [line.strip('\n') for line in f]
+
+    new_ids = len(set(tmp_list).difference(id_set))
+    id_set.update(tmp_list)
+
+    print('DB: NCBI Virus', today_date, '-->', new_ids, 'new IDs from', len(tmp_list), '---> Total unique IDs:', len(id_set))
+
+    if len(accession_already_downloaded_set) > 0:
+        id_set = id_set.difference(accession_already_downloaded_set)
+        print('There are {} missing IDs to download.'.format(len(id_set)))
+
+    os.makedirs(dir_metadata)
+    for i, id_x_list in enumerate(chunks(list(id_set), num_ids_for_request)):
+        path_metadata_xxx_xml = os.path.join(dir_metadata, 'metadata_{}.xml'.format(i))
+        print('Requesting {} ids --> {}'.format(len(id_x_list), path_metadata_xxx_xml))
+
+        with open(path_metadata_xxx_xml, 'w') as fw:
+            fw.write(
+                Entrez.efetch(db='nuccore', id=id_x_list, retmode='xml').read()
+            )
+
+
+term_to_uri_dict = {}
+
+for path_dict_xxx_csv in [os.path.join(dir_dict_ontology_standardization, name_xxx_csv) for name_xxx_csv in os.listdir(dir_dict_ontology_standardization) if name_xxx_csv.endswith('.csv')]:
+    print('Read {}'.format(path_dict_xxx_csv))
+
+    with open(path_dict_xxx_csv) as f:
+        for line in f:
+            if len(line.split(',')) > 2:
+                term, uri = line.strip('\n').split('",')
+                term = term.strip('"')
+            else:
+                term, uri = line.strip('\n').split(',')
+
+            if term in term_to_uri_dict:
+                print('Warning: in the dictionaries there are more entries for the same term ({}).'.format(term))
+                continue
+                
+            term_to_uri_dict[term] = uri
+
+if not os.path.exists(dir_fasta_and_yaml):
+    os.makedirs(dir_fasta_and_yaml)
+
+min_len_to_count = 27500
+num_seq_with_len_ge_X_bp = 0
+
+missing_value_list = []
+accession_with_errors_list = []
+
+for path_metadata_xxx_xml in [os.path.join(dir_metadata, name_metadata_xxx_xml) for name_metadata_xxx_xml in os.listdir(dir_metadata) if name_metadata_xxx_xml.endswith('.xml')]:
+    tree = ET.parse(path_metadata_xxx_xml)
+    GBSet = tree.getroot()
+
+    for GBSeq in GBSet:
+        accession_version = GBSeq.find('GBSeq_accession-version').text
+
+        GBSeq_sequence = GBSeq.find('GBSeq_sequence')
+        if GBSeq_sequence is None:
+            print(accession_version, ' - sequence not found')
+            continue
+
+        try:
+            #print(path_metadata_xxx_xml, accession_version)
+
+            # A general default-empty yaml could be read from the definitive one
+            info_for_yaml_dict = {
+                'id': 'placeholder',
+                'host': {},
+                'sample': {},
+                'virus': {},
+                'technology': {},
+                'submitter': {}
+            }
+
+
+            info_for_yaml_dict['sample']['sample_id'] = accession_version
+            info_for_yaml_dict['sample']['source_database_accession'] = ["http://identifiers.org/insdc/"+accession_version+"#sequence"] #accession is turned into resolvable URL/URI now
+
+
+            # submitter info
+            GBSeq_references = GBSeq.find('GBSeq_references')
+            if GBSeq_references is not None:
+                info_for_yaml_dict['submitter']['authors'] = ["{}".format(x.text) for x in GBSeq_references.iter('GBAuthor')]
+
+                GBReference = GBSeq_references.find('GBReference')
+                if GBReference is not None:
+                    GBReference_journal = GBReference.find('GBReference_journal')
+
+                    if GBReference_journal is not None and GBReference_journal.text != 'Unpublished':
+                        if 'Submitted' in GBReference_journal.text:
+                            info_for_yaml_dict['submitter']['submitter_name'] = ["{}".format(GBReference_journal.text.split(') ')[1].split(',')[0].strip())]
+                            info_for_yaml_dict['submitter']['submitter_address'] = ','.join(GBReference_journal.text.split(') ')[1].split(',')[1:]).strip()
+                        else:
+                            info_for_yaml_dict['submitter']['additional_submitter_information'] = GBReference_journal.text
+
+
+            GBSeq_comment = GBSeq.find('GBSeq_comment')
+            if GBSeq_comment is not None and 'Assembly-Data' in GBSeq_comment.text:
+                prefix_split_string = '##Genome-Assembly' if GBSeq_comment.text.startswith('##Genome-') else '##Assembly'
+
+                GBSeq_comment_text = GBSeq_comment.text.split(
+                    '{}-Data-START## ; '.format(prefix_split_string)
+                )[1].split(' ; {}-Data-END##'.format(prefix_split_string))[0]
+
+                for info_to_check, field_in_yaml in zip(
+                    ['Assembly Method', 'Coverage', 'Sequencing Technology'],
+                    ['sequence_assembly_method', 'sequencing_coverage', 'sample_sequencing_technology']
+                ):
+                    if info_to_check in GBSeq_comment_text:
+                        tech_info_to_parse = GBSeq_comment_text.split('{} :: '.format(info_to_check))[1].split(' ;')[0]
+
+                        if field_in_yaml == 'sequencing_coverage':
+                            # A regular expression would be better!
+                            try:
+                                info_for_yaml_dict['technology'][field_in_yaml] = [
+                                    float(tech_info_to_parse.strip('(average)').strip("reads/nt").strip('(average for 6 sequences)').replace(',', '.').strip(' xX>'))
+                                ]
+                            except ValueError:
+                                print(accession_version, "Couldn't make sense of Coverage '%s'" % tech_info_to_parse)
+                                pass
+                        elif field_in_yaml == 'sample_sequencing_technology':
+                            new_seq_tec_list = []
+                            for seq_tec in tech_info_to_parse.split(';'):
+                                seq_tec = seq_tec.strip()
+                                if seq_tec in term_to_uri_dict:
+                                    seq_tec = term_to_uri_dict[seq_tec]
+                                else:
+                                    missing_value_list.append('\t'.join([accession_version, 'sample_sequencing_technology', seq_tec]))
+
+                                new_seq_tec_list.append(seq_tec)
+
+                            info_for_yaml_dict['technology']['sample_sequencing_technology'] = [x for x in new_seq_tec_list]
+                        else:
+                            info_for_yaml_dict['technology'][field_in_yaml] = tech_info_to_parse
+
+
+            for GBFeature in GBSeq.iter('GBFeature'):
+                if GBFeature.find('GBFeature_key').text != 'source':
+                    continue
+
+                for GBQualifier in GBFeature.iter('GBQualifier'):
+                    GBQualifier_value = GBQualifier.find('GBQualifier_value')
+                    if GBQualifier_value is None:
+                        continue
+                    GBQualifier_value_text = GBQualifier_value.text
+
+                    GBQualifier_name_text = GBQualifier.find('GBQualifier_name').text
+
+                    if GBQualifier_name_text == 'host':
+                        GBQualifier_value_text_list = GBQualifier_value_text.split('; ')
+
+                        if GBQualifier_value_text_list[0] in term_to_uri_dict:
+                            info_for_yaml_dict['host']['host_species'] = term_to_uri_dict[GBQualifier_value_text_list[0]]
+                        elif GBQualifier_value_text_list[0] and ('MT215193' in accession_version or 'MT270814' in accession_version):
+                            # Information checked manually from NCBI Virus
+                            info_for_yaml_dict['host']['host_species'] = term_to_uri_dict['Canis lupus familiaris']
+                        else:
+                            missing_value_list.append('\t'.join([accession_version, 'host_species', GBQualifier_value_text_list[0]]))
+
+                        # Possible cases:
+                        # - Homo sapiens						--> ['Homo sapiens']
+                        # - Homo sapiens; female				--> ['Homo sapiens', 'female']
+                        # - Homo sapiens; female 63				--> ['Homo sapiens', 'female 63']
+                        # - Homo sapiens; female; age 40		--> ['Homo sapiens', 'female', 'age 40']
+                        # - Homo sapiens; gender: F; age: 61	--> ['Homo sapiens', 'gender: F', 'age: 61']
+                        # - Homo sapiens; gender: M; age: 68	--> ['Homo sapiens', 'gender: M', 'age: 68']
+                        # - Homo sapiens; hospitalized patient	--> ['Homo sapiens', 'hospitalized patient']
+                        # - Homo sapiens; male					--> ['Homo sapiens', 'male']
+                        # - Homo sapiens; male; 63				--> ['Homo sapiens', 'male', '63']
+                        # - Homo sapiens; male; age 29			--> ['Homo sapiens', 'male', 'age 29']
+                        # - Homo sapiens; symptomatic			--> ['Homo sapiens', 'symptomatic']
+                        if len(GBQualifier_value_text_list) > 1:
+                            host_sex = ''
+                            if 'female' in GBQualifier_value_text_list[1]:
+                                host_sex = 'female'
+                            elif 'male' in GBQualifier_value_text_list[1]:
+                                host_sex = 'male'
+                            elif 'gender' in GBQualifier_value_text_list[1]:
+                                host_sex_one_lecter = GBQualifier_value_text_list[1].split(':')[-1].strip()
+                                if host_sex_one_lecter in ['F', 'M']:
+                                    host_sex = 'female' if host_sex_one_lecter == 'F' else 'male'
+
+                            if host_sex in ['male', 'female']:
+                                info_for_yaml_dict['host']['host_sex'] = "http://purl.obolibrary.org/obo/PATO_0000384" if host_sex == 'male' else "http://purl.obolibrary.org/obo/PATO_0000383"
+                            elif GBQualifier_value_text_list[1] in term_to_uri_dict:
+                                info_for_yaml_dict['host']['host_health_status'] = term_to_uri_dict[GBQualifier_value_text_list[1]]                            
+                            else:
+                                missing_value_list.append('\t'.join([accession_version, 'host_sex or host_health_status', GBQualifier_value_text_list[1]]))
+
+                            # Host age
+                            host_age = -1
+                            if len(GBQualifier_value_text_list[1].split(' ')) > 1 and is_integer(GBQualifier_value_text_list[1].split(' ')[-1]):
+                                host_age = int(GBQualifier_value_text_list[1].split(' ')[-1])
+                            elif len(GBQualifier_value_text_list) > 2 and is_integer(GBQualifier_value_text_list[2].split(' ')[-1]):
+                                host_age = int(GBQualifier_value_text_list[2].split(' ')[-1])
+
+                            if host_age > -1:
+                                info_for_yaml_dict['host']['host_age'] = host_age
+                                info_for_yaml_dict['host']['host_age_unit'] = 'http://purl.obolibrary.org/obo/UO_0000036'
+                            elif len(GBQualifier_value_text_list) > 2:
+                                missing_value_list.append('\t'.join([accession_version, 'host_age', GBQualifier_value_text_list[2]]))
+                    elif GBQualifier_name_text == 'collected_by':
+                        if any([x in GBQualifier_value_text.lower() for x in ['institute', 'hospital', 'city', 'center']]):
+                            info_for_yaml_dict['sample']['collecting_institution'] = GBQualifier_value_text
+                        else:
+                            info_for_yaml_dict['sample']['collector_name'] = GBQualifier_value_text
+                    elif GBQualifier_name_text == 'isolation_source':
+                        if GBQualifier_value_text.upper() in term_to_uri_dict:
+                            GBQualifier_value_text = GBQualifier_value_text.upper() # For example, in case of 'usa: wa'
+
+                        # Little cleaning
+                        GBQualifier_value_text = GBQualifier_value_text.strip("/'")
+
+                        if GBQualifier_value_text in term_to_uri_dict:
+                            info_for_yaml_dict['sample']['specimen_source'] = [term_to_uri_dict[GBQualifier_value_text]]
+                        else:
+                            if GBQualifier_value_text.lower() in ['np/op', 'np/op swab', 'np/np swab', 'nasopharyngeal and oropharyngeal swab', 'nasopharyngeal/oropharyngeal swab', 'combined nasopharyngeal and oropharyngeal swab']:
+                                info_for_yaml_dict['sample']['specimen_source'] = [term_to_uri_dict['nasopharyngeal swab'], term_to_uri_dict['oropharyngeal swab']]
+                            elif GBQualifier_value_text.lower() in ['nasopharyngeal swab/throat swab', 'nasopharyngeal/throat swab', 'nasopharyngeal swab and throat swab', 'nasal swab and throat swab', 'nasopharyngeal aspirate/throat swab']:
+                                info_for_yaml_dict['sample']['specimen_source'] = [term_to_uri_dict['nasopharyngeal swab'], term_to_uri_dict['throat swab']]
+                            elif GBQualifier_value_text.lower() in ['nasal swab and throat swab']:
+                                info_for_yaml_dict['sample']['specimen_source'] = [term_to_uri_dict['nasal swab'], term_to_uri_dict['throat swab']]
+                            elif GBQualifier_value_text.lower() in ['nasal-swab and oro-pharyngeal swab']:
+                                info_for_yaml_dict['sample']['specimen_source'] = [term_to_uri_dict['nasal swab'], term_to_uri_dict['oropharyngeal swab']]
+                            else:
+                                missing_value_list.append('\t'.join([accession_version, 'specimen_source', GBQualifier_value_text]))
+                    elif GBQualifier_name_text == 'collection_date':
+                        # TO_DO: which format we will use?
+                        date_to_write = GBQualifier_value_text
+
+                        if len(GBQualifier_value_text.split('-')) == 1:
+                            if int(GBQualifier_value_text) < 2020:
+                                date_to_write = "{}-12-15".format(GBQualifier_value_text)
+                            else:
+                                date_to_write = "{}-01-15".format(GBQualifier_value_text)
+
+                            if 'additional_collection_information' in info_for_yaml_dict['sample']:
+                                info_for_yaml_dict['sample']['additional_collection_information'] += "; The 'collection_date' is estimated (the original date was: {})".format(GBQualifier_value_text)
+                            else:
+                                info_for_yaml_dict['sample']['additional_collection_information'] = "The 'collection_date' is estimated (the original date was: {})".format(GBQualifier_value_text)
+                        elif len(GBQualifier_value_text.split('-')) == 2:
+                            date_to_write += '-15'
+
+                            if 'additional_collection_information' in info_for_yaml_dict['sample']:
+                                info_for_yaml_dict['sample']['additional_collection_information'] += "; The 'collection_date' is estimated (the original date was: {})".format(GBQualifier_value_text)
+                            else:
+                                info_for_yaml_dict['sample']['additional_collection_information'] = "The 'collection_date' is estimated (the original date was: {})".format(GBQualifier_value_text)
+                        elif len(GBQualifier_value_text.split('-')) == 3:
+                            GBQualifier_value_text_list = GBQualifier_value_text.split('-')
+
+                            if GBQualifier_value_text_list[1].isalpha():
+                                date_to_write = parse(GBQualifier_value_text).strftime('%Y-%m-%d')
+
+                        info_for_yaml_dict['sample']['collection_date'] = date_to_write
+                    elif GBQualifier_name_text in ['lat_lon', 'country']:
+                        if GBQualifier_value_text == 'Hong Kong':
+                            GBQualifier_value_text = 'China: Hong Kong'
+
+                        if GBQualifier_value_text in term_to_uri_dict:
+                            info_for_yaml_dict['sample']['collection_location'] = term_to_uri_dict[GBQualifier_value_text]
+                        else:
+                            missing_value_list.append('\t'.join([accession_version, GBQualifier_name_text, GBQualifier_value_text]))
+                    elif GBQualifier_name_text == 'note':
+                        if 'additional_collection_information' in info_for_yaml_dict['sample']:
+                            info_for_yaml_dict['sample']['additional_collection_information'] += '; ' + GBQualifier_value_text
+                        else:
+                            info_for_yaml_dict['sample']['additional_collection_information'] = GBQualifier_value_text
+                    elif GBQualifier_name_text == 'isolate':
+                        info_for_yaml_dict['virus']['virus_strain'] = GBQualifier_value_text
+                    elif GBQualifier_name_text == 'db_xref':
+                        info_for_yaml_dict['virus']['virus_species'] = "http://purl.obolibrary.org/obo/NCBITaxon_"+GBQualifier_value_text.split('taxon:')[1]
+
+
+            # Remove technology key if empty!
+            if (info_for_yaml_dict['technology']=={}):
+                del info_for_yaml_dict['technology']
+
+            with open(os.path.join(dir_fasta_and_yaml, '{}.fasta'.format(accession_version)), 'w') as fw:
+                fw.write('>{}\n{}'.format(accession_version, GBSeq_sequence.text.upper()))
+
+            with open(os.path.join(dir_fasta_and_yaml, '{}.yaml'.format(accession_version)), 'w') as fw:
+                json.dump(info_for_yaml_dict, fw, indent=2)
+
+
+            if(len(GBSeq_sequence.text) >= min_len_to_count):
+                num_seq_with_len_ge_X_bp += 1
+        except:
+            print("Unexpected error for the ID {}: {}".format(accession_version, sys.exc_info()[0]))
+            accession_with_errors_list.append(accession_version)
+            continue
+
+if len(missing_value_list) > 0:
+    path_missing_terms_tsv = 'missing_terms.tsv'
+    print('Written missing terms in {}'.format(path_missing_terms_tsv))
+    with open(path_missing_terms_tsv, 'w') as fw:
+        fw.write('\n'.join(missing_value_list))
+
+if len(accession_with_errors_list) > 0:
+    path_accession_with_errors_tsv = 'accession_with_errors.tsv'
+    print('Written the accession with errors in {}'.format(path_accession_with_errors_tsv))
+    with open(path_accession_with_errors_tsv, 'w') as fw:
+        fw.write('\n'.join(accession_with_errors_list))
+        
+print('Num. new sequences with length >= {} bp: {}'.format(min_len_to_count, num_seq_with_len_ge_X_bp))