def main(argv):
current_stats_url = ''
previous_stats_url = ''
output_rep = ''
if len(argv) < 3:
print_help()
sys.exit(2)
try:
opts, argv = getopt.getopt(argv, "c:p:o:",
["current=", "previous=", "orep="])
except getopt.GetoptError:
print_help()
sys.exit(2)
for opt, arg in opts:
if opt == '-h':
print_help()
sys.exit()
elif opt in ("-c", "--current"):
current_stats_url = arg
elif opt in ("-p", "--previous"):
previous_stats_url = arg
elif opt in ("-o", "-orep"):
output_rep = arg
if not output_rep.endswith("/"):
output_rep += "/"
if not os.path.exists(output_rep):
os.mkdir(output_rep)
output_json = output_rep + "go-stats-changes.json"
output_tsv = output_rep + "go-stats-changes.tsv"
print("Will write stats changes to " + output_json + " and " + output_tsv)
current_stats = utils.fetch(current_stats_url).json()
previous_stats = utils.fetch(previous_stats_url).json()
json_changes = compute_changes(current_stats, previous_stats)
json_changes = alter_annotation_changes(current_stats, previous_stats,
None, None, json_changes)
print("Saving Stats to <" + output_json + "> ...")
utils.write_json(output_json, json_changes)
print("Done.")
print("Saving Stats to <" + output_tsv + "> ...")
tsv_changes = create_text_report(json_changes)
utils.write_text(output_tsv, tsv_changes)
print("Done.")
def main(argv):
current_obo_url = ''
previous_obo_url = ''
output_rep = ''
if len(argv) < 6:
print_help()
sys.exit(2)
try:
opts, argv = getopt.getopt(argv, "c:p:o:", ["cobo=", "pobo=", "orep="])
except getopt.GetoptError:
print_help()
sys.exit(2)
for opt, arg in opts:
if opt == '-h':
print_help()
sys.exit()
elif opt in ("-c", "--cobo"):
current_obo_url = arg
elif opt in ("-p", "--pobo"):
previous_obo_url = arg
elif opt in ("-o", "-orep"):
output_rep = arg
if not output_rep.endswith("/"):
output_rep += "/"
if not os.path.exists(output_rep):
os.mkdir(output_rep)
output_json = output_rep + "go-ontology-changes.json"
output_stats_json = output_rep + "go-ontology-stats.json"
output_tsv = output_rep + "go-ontology-changes.tsv"
print("Will write ontology changes to " + output_json + " and " +
output_tsv)
json_changes = compute_changes(current_obo_url, previous_obo_url)
print("Saving Stats to <" + output_json + "> ...")
utils.write_json(output_json, json_changes)
utils.write_json(output_stats_json, json_changes["summary"]["current"])
print("Done.")
print("Saving Stats to <" + output_tsv + "> ...")
tsv_changes = create_text_report(json_changes)
utils.write_text(output_tsv, tsv_changes)
print("Done.")
def main(argv):
golr_url = ''
previous_stats_url = ''
previous_stats_no_pb_url = ''
current_obo_url = ''
previous_obo_url = ''
previous_references_url = ''
output_rep = ''
release_date = ''
print(len(argv))
if len(argv) < 16:
print_help()
sys.exit(2)
try:
opts, argv = getopt.getopt(argv, "g:s:n:c:p:o:d:r:", [
"golrurl=", "pstats=", "pnstats=", "cobo=", "pobo=", "orep=",
"date=", "ref="
])
except getopt.GetoptError:
print_help()
sys.exit(2)
for opt, arg in opts:
if opt == '-h':
print_help()
sys.exit()
elif opt in ("-g", "--golrurl"):
golr_url = arg
if not golr_url.endswith("/"):
golr_url = golr_url + "/"
elif opt in ("-s", "--pstats"):
previous_stats_url = arg
elif opt in ("-n", "--pnstats"):
previous_stats_no_pb_url = arg
elif opt in ("-c", "--cobo"):
current_obo_url = arg
elif opt in ("-p", "--pobo"):
previous_obo_url = arg
elif opt in ("-r", "--ref"):
previous_references_url = arg
elif opt in ("-o", "--orep"):
output_rep = arg
elif opt in ("-d", "--date"):
release_date = arg
if not output_rep.endswith("/"):
output_rep += "/"
if not os.path.exists(output_rep):
os.mkdir(output_rep)
# actual names of the files to be generated - can change here if needed
output_stats = output_rep + "go-stats.json"
output_stats_no_pb = output_rep + "go-stats-no-pb.json"
output_references = output_rep + "go-references.tsv"
output_pmids = output_rep + "go-pmids.tsv"
output_pubmed_pmids = output_rep + "GO.uid"
output_ontology_changes = output_rep + "go-ontology-changes.json"
output_ontology_changes_tsv = output_rep + "go-ontology-changes.tsv"
output_stats_summary = output_rep + "go-stats-summary.json"
output_annotation_changes = output_rep + "go-annotation-changes.json"
output_annotation_changes_tsv = output_rep + "go-annotation-changes.tsv"
output_annotation_changes_no_pb = output_rep + "go-annotation-changes_no_pb.json"
output_annotation_changes_no_pb_tsv = output_rep + "go-annotation-changes_no_pb.tsv"
# 1 - Executing go_stats script
print(
"\n\n1a - EXECUTING GO_STATS SCRIPT (INCLUDING PROTEIN BINDING)...\n")
json_stats = go_stats.compute_stats(golr_url, release_date)
print("DONE.")
print(
"\n\n1b - EXECUTING GO_STATS SCRIPT (EXCLUDING PROTEIN BINDING)...\n")
json_stats_no_pb = go_stats.compute_stats(golr_url, release_date, True)
print("DONE.")
print(
"\n\n1c - EXECUTING GO_STATS SCRIPT (RETRIEVING PREVIOUS REFERENCES LIST)...\n"
)
previous_references_ids = utils.fetch(previous_references_url).text
previous_references_ids = previous_references_ids.split("\n")
previous_references_ids = list(
map(lambda x: x.split("\t")[0], previous_references_ids))
print("DONE.")
print(
"\n\n1d - EXECUTING GO_STATS SCRIPT (CREATING CURRENT REFERENCES LIST)...\n"
)
references = go_stats.get_references()
references_lines = []
for k, v in references.items():
references_lines.append(k + "\t" + str(v))
current_references_ids = list(
map(lambda x: x.split("\t")[0], references_lines))
pmids_lines = list(filter(lambda x: "PMID:" in x, references_lines))
pmids_ids = list(map(lambda x: x.split("\t")[0].split(":")[1],
pmids_lines))
utils.write_text(output_references, "\n".join(references_lines))
utils.write_text(output_pmids, "\n".join(pmids_lines))
utils.write_text(output_pubmed_pmids, "\n".join(pmids_ids))
print("DONE.")
# 2 - Executing go_ontology_changes script
print("\n\n2 - EXECUTING GO_ONTOLOGY_CHANGES SCRIPT...\n")
json_onto_changes = go_ontology_changes.compute_changes(
current_obo_url, previous_obo_url)
utils.write_json(output_ontology_changes, json_onto_changes)
tsv_onto_changes = go_ontology_changes.create_text_report(
json_onto_changes)
utils.write_text(output_ontology_changes_tsv, tsv_onto_changes)
print("DONE.")
# 3 - Executing go_annotation_changes script
print(
"\n\n3a - EXECUTING GO_ANNOTATION_CHANGES SCRIPT (INCLUDING PROTEIN BINDING)...\n"
)
previous_stats = utils.fetch(previous_stats_url).json()
json_annot_changes = go_annotation_changes.compute_changes(
json_stats, previous_stats)
print("DONE.")
print(
"\n\n3b - EXECUTING GO_ANNOTATION_CHANGES SCRIPT (EXCLUDING PROTEIN BINDING)...\n"
)
previous_stats_no_pb = utils.fetch(previous_stats_no_pb_url).json(
) # WE STILL NEED TO CORRECT THAT: 1 FILE OR SEVERAL FILE ? IF SEVERAL, ONE MORE PARAMETER
json_annot_no_pb_changes = go_annotation_changes.compute_changes(
json_stats_no_pb, previous_stats_no_pb)
print("DONE.")
# 4 - Refining go-stats with ontology stats
print("\n\n4 - EXECUTING GO_REFINE_STATS SCRIPT...\n")
merged_annotations_diff = utils.merge_dict(json_stats, json_annot_changes)
json_annot_changes = merged_annotations_diff
ontology = json_onto_changes["summary"]["current"].copy()
del ontology["release_date"]
ontology["changes_created_terms"] = json_onto_changes["summary"][
"changes"]["created_terms"]
ontology["changes_valid_terms"] = json_onto_changes["summary"]["changes"][
"valid_terms"]
ontology["changes_obsolete_terms"] = json_onto_changes["summary"][
"changes"]["obsolete_terms"]
ontology["changes_merged_terms"] = json_onto_changes["summary"]["changes"][
"merged_terms"]
ontology["changes_biological_process_terms"] = json_onto_changes[
"summary"]["changes"]["biological_process_terms"]
ontology["changes_molecular_function_terms"] = json_onto_changes[
"summary"]["changes"]["molecular_function_terms"]
ontology["changes_cellular_component_terms"] = json_onto_changes[
"summary"]["changes"]["cellular_component_terms"]
json_stats = {
"release_date": json_stats["release_date"],
"ontology": ontology,
"annotations": json_stats["annotations"],
"taxa": json_stats["taxa"],
"bioentities": json_stats["bioentities"],
"references": json_stats["references"]
}
print("\n4a - SAVING GO-STATS...\n")
utils.write_json(output_stats, json_stats)
print("DONE.")
json_stats_no_pb = {
"release_date": json_stats_no_pb["release_date"],
"ontology": ontology,
"annotations": json_stats_no_pb["annotations"],
"taxa": json_stats_no_pb["taxa"],
"bioentities": json_stats_no_pb["bioentities"],
"references": json_stats_no_pb["references"]
}
print("\n4b - SAVING GO-STATS-NO-PB...\n")
utils.write_json(output_stats_no_pb, json_stats_no_pb)
print("DONE.")
annotations_by_reference_genome = json_stats["annotations"][
"by_model_organism"]
for taxon in annotations_by_reference_genome:
for ecode in annotations_by_reference_genome[taxon]["by_evidence"]:
annotations_by_reference_genome[taxon]["by_evidence"][ecode][
"B"] = json_stats["annotations"]["by_model_organism"][taxon][
"by_evidence"][ecode]["F"] - json_stats_no_pb[
"annotations"]["by_model_organism"][taxon][
"by_evidence"][ecode]["F"]
for ecode in annotations_by_reference_genome[taxon][
"by_evidence_cluster"]:
annotations_by_reference_genome[taxon]["by_evidence_cluster"][
ecode]["B"] = json_stats["annotations"]["by_model_organism"][
taxon]["by_evidence_cluster"][ecode][
"F"] - json_stats_no_pb["annotations"][
"by_model_organism"][taxon]["by_evidence_cluster"][
ecode]["F"]
bioentities_by_reference_genome = {}
for taxon in go_stats.reference_genomes_ids:
key = go_stats.taxon_label(taxon)
bioentities_by_reference_genome[key] = json_stats["bioentities"][
"by_filtered_taxon"]["cluster"][key] if key in json_stats[
"bioentities"]["by_filtered_taxon"]["cluster"] else {}
# TODO: we don't have a way to filter on bioentity documents without direct annotations to PB ?
# for btype in bioentities_by_reference_genome[key]:
# val = json_stats_no_pb["bioentities"]["by_filtered_taxon"]["cluster"][key]["F"] if (key in json_stats_no_pb["bioentities"]["by_filtered_taxon"]["cluster"] and "F" in json_stats_no_pb["bioentities"]["by_filtered_taxon"]["cluster"][key]) else 0
# bioentities_by_reference_genome[key][btype]["B"] = bioentities_by_reference_genome[key][btype]["F"] - val
references_by_reference_genome = {}
for taxon in go_stats.reference_genomes_ids:
key = go_stats.taxon_label(taxon)
references_by_reference_genome[key] = json_stats["references"]["all"][
"by_filtered_taxon"][key] if key in json_stats["references"][
"all"]["by_filtered_taxon"] else {}
pmids_by_reference_genome = {}
for taxon in go_stats.reference_genomes_ids:
key = go_stats.taxon_label(taxon)
pmids_by_reference_genome[key] = json_stats["references"]["pmids"][
"by_filtered_taxon"][key] if key in json_stats["references"][
"pmids"]["by_filtered_taxon"] else {}
# This is to modify the structure of the annotation changes based on recent requests
print("\n4c - SAVING GO-ANNOTATION-CHANGES...\n")
json_annot_changes = go_annotation_changes.alter_annotation_changes(
json_stats, previous_stats, current_references_ids,
previous_references_ids, json_annot_changes)
utils.write_json(output_annotation_changes, json_annot_changes)
tsv_annot_changes = go_annotation_changes.create_text_report(
json_annot_changes)
utils.write_text(output_annotation_changes_tsv, tsv_annot_changes)
print("DONE.")
print("\n4d - SAVING GO-ANNOTATION-NO-PB-CHANGES...\n")
json_annot_no_pb_changes = go_annotation_changes.alter_annotation_changes(
json_stats_no_pb, previous_stats_no_pb, current_references_ids,
previous_references_ids, json_annot_no_pb_changes)
utils.write_json(output_annotation_changes_no_pb, json_annot_no_pb_changes)
tsv_annot_changes_no_pb = go_annotation_changes.create_text_report(
json_annot_no_pb_changes)
utils.write_text(output_annotation_changes_no_pb_tsv,
tsv_annot_changes_no_pb)
print("DONE.")
json_stats_summary = {
"release_date": json_stats["release_date"],
"ontology": ontology,
"annotations": {
"total":
json_stats["annotations"]["total"],
"total_no_pb":
json_stats_no_pb["annotations"]["total"],
"total_pb":
json_stats["annotations"]["total"] -
json_stats_no_pb["annotations"]["total"],
"by_aspect": {
"P":
json_stats["annotations"]["by_aspect"]["P"],
"F":
json_stats["annotations"]["by_aspect"]["F"],
"C":
json_stats["annotations"]["by_aspect"]["C"],
"B":
json_stats["annotations"]["by_aspect"]["F"] -
json_stats_no_pb["annotations"]["by_aspect"]["F"]
},
"by_bioentity_type_cluster":
json_stats["annotations"]["by_bioentity_type"]["cluster"],
"by_bioentity_type_cluster_no_pb":
json_stats_no_pb["annotations"]["by_bioentity_type"]["cluster"],
"by_qualifier":
json_stats["annotations"]["by_qualifier"],
"by_evidence_cluster":
json_stats["annotations"]["by_evidence"]["cluster"],
"by_evidence_cluster_no_pb":
json_stats_no_pb["annotations"]["by_evidence"]["cluster"],
"by_model_organism":
annotations_by_reference_genome
},
"taxa": {
"total": json_stats["taxa"]["total"],
"filtered": json_stats["taxa"]["filtered"],
},
"bioentities": {
"total":
json_stats["bioentities"]["total"],
"total_no_pb":
json_stats_no_pb["bioentities"]["total"],
"by_type_cluster":
json_stats["bioentities"]["by_type"]["cluster"],
"by_type_cluster_no_pb":
json_stats_no_pb["bioentities"]["by_type"]["cluster"],
"by_model_organism":
bioentities_by_reference_genome
},
"references": {
"all": {
"total":
json_stats["references"]["all"]["total"],
"total_no_pb":
json_stats_no_pb["references"]["all"]["total"],
"added":
json_annot_changes["summary"]["changes"]["references"]
["added"],
"removed":
json_annot_changes["summary"]["changes"]["references"]
["removed"],
"by_model_organism":
references_by_reference_genome
},
"pmids": {
"total":
json_stats["references"]["pmids"]["total"],
"total_no_pb":
json_stats_no_pb["references"]["pmids"]["total"],
"added":
json_annot_changes["summary"]["changes"]["pmids"]["added"],
"removed":
json_annot_changes["summary"]["changes"]["pmids"]["removed"],
"by_model_organism":
pmids_by_reference_genome
}
},
}
# removing by_reference_genome.by_evidence
for gen in json_stats_summary["annotations"]["by_model_organism"]:
del json_stats_summary["annotations"]["by_model_organism"][gen][
"by_evidence"]
print("\n4e - SAVING GO-STATS-SUMMARY...\n")
utils.write_json(output_stats_summary, json_stats_summary)
print("DONE.")
# Indicate all processes finished
print("SUCCESS.")
def main(argv):
golr_url = ''
current_obo_url = ''
previous_obo_url = ''
output_rep = ''
release_date = ''
print(len(argv))
if len(argv) < 10:
print_help()
sys.exit(2)
try:
opts, argv = getopt.getopt(
argv, "g:c:p:o:d:",
["golrurl=", "cobo=", "pobo=", "orep=", "date="])
except getopt.GetoptError:
print_help()
sys.exit(2)
for opt, arg in opts:
if opt == '-h':
print_help()
sys.exit()
elif opt in ("-g", "--golrurl"):
golr_url = arg
if not golr_url.endswith("/"):
golr_url = golr_url + "/"
elif opt in ("-c", "--cobo"):
current_obo_url = arg
elif opt in ("-p", "--pobo"):
previous_obo_url = arg
elif opt in ("-o", "--orep"):
output_rep = arg
elif opt in ("-d", "--date"):
release_date = arg
if not output_rep.endswith("/"):
output_rep += "/"
if not os.path.exists(output_rep):
os.mkdir(output_rep)
# actual names of the files to be generated - can change here if needed
output_stats = output_rep + "go-stats.json"
output_stats_no_pb = output_rep + "go-stats-no-pb.json"
output_references = output_rep + "go-references.tsv"
output_pmids = output_rep + "go-pmids.tsv"
output_pubmed_pmids = output_rep + "GO.uid"
output_ontology_changes = output_rep + "go-ontology-changes.json"
output_ontology_changes_tsv = output_rep + "go-ontology-changes.tsv"
output_stats_summary = output_rep + "go-stats-summary.json"
# 1 - Executing go_stats script
print(
"\n\n1a - EXECUTING GO_STATS SCRIPT (INCLUDING PROTEIN BINDING)...\n")
json_stats = go_stats.compute_stats(golr_url, release_date)
print("DONE.")
print(
"\n\n1b - EXECUTING GO_STATS SCRIPT (EXCLUDING PROTEIN BINDING)...\n")
json_stats_no_pb = go_stats.compute_stats(golr_url, release_date, True)
print("DONE.")
# 2 - Executing go_ontology_changes script
print("\n\n2 - EXECUTING GO_ONTOLOGY_CHANGES SCRIPT...\n")
json_onto_changes = go_ontology_changes.compute_changes(
current_obo_url, previous_obo_url)
utils.write_json(output_ontology_changes, json_onto_changes)
tsv_onto_changes = go_ontology_changes.create_text_report(
json_onto_changes)
utils.write_text(output_ontology_changes_tsv, tsv_onto_changes)
print("DONE.")
# 3 - Refining go-stats with ontology stats
print("\n\n3 - EXECUTING GO_REFINE_STATS SCRIPT...\n")
ontology = json_onto_changes["summary"]["current"].copy()
del ontology["release_date"]
ontology["changes_created_terms"] = json_onto_changes["summary"][
"changes"]["created_terms"]
ontology["changes_valid_terms"] = json_onto_changes["summary"]["changes"][
"valid_terms"]
ontology["changes_obsolete_terms"] = json_onto_changes["summary"][
"changes"]["obsolete_terms"]
ontology["changes_merged_terms"] = json_onto_changes["summary"]["changes"][
"merged_terms"]
ontology["changes_biological_process_terms"] = json_onto_changes[
"summary"]["changes"]["biological_process_terms"]
ontology["changes_molecular_function_terms"] = json_onto_changes[
"summary"]["changes"]["molecular_function_terms"]
ontology["changes_cellular_component_terms"] = json_onto_changes[
"summary"]["changes"]["cellular_component_terms"]
json_stats = {
"release_date": json_stats["release_date"],
"ontology": ontology,
"annotations": json_stats["annotations"],
"taxa": json_stats["taxa"],
"bioentities": json_stats["bioentities"],
"references": json_stats["references"]
}
utils.write_json(output_stats, json_stats)
json_stats_no_pb = {
"release_date": json_stats_no_pb["release_date"],
"ontology": ontology,
"annotations": json_stats_no_pb["annotations"],
"taxa": json_stats_no_pb["taxa"],
"bioentities": json_stats_no_pb["bioentities"],
"references": json_stats_no_pb["references"]
}
utils.write_json(output_stats_no_pb, json_stats_no_pb)
annotations_by_reference_genome = json_stats["annotations"][
"by_model_organism"]
for taxon in annotations_by_reference_genome:
for ecode in annotations_by_reference_genome[taxon]["by_evidence"]:
annotations_by_reference_genome[taxon]["by_evidence"][ecode][
"B"] = json_stats["annotations"]["by_model_organism"][taxon][
"by_evidence"][ecode]["F"] - json_stats_no_pb[
"annotations"]["by_model_organism"][taxon][
"by_evidence"][ecode]["F"]
for ecode in annotations_by_reference_genome[taxon][
"by_evidence_cluster"]:
annotations_by_reference_genome[taxon]["by_evidence_cluster"][
ecode]["B"] = json_stats["annotations"]["by_model_organism"][
taxon]["by_evidence_cluster"][ecode][
"F"] - json_stats_no_pb["annotations"][
"by_model_organism"][taxon]["by_evidence_cluster"][
ecode]["F"]
bioentities_by_reference_genome = {}
for taxon in go_stats.reference_genomes_ids:
key = go_stats.taxon_label(taxon)
bioentities_by_reference_genome[key] = json_stats["bioentities"][
"by_filtered_taxon"]["cluster"][key] if key in json_stats[
"bioentities"]["by_filtered_taxon"]["cluster"] else {}
# TODO: we don't have a way to filter on bioentity documents without direct annotations to PB ?
# for btype in bioentities_by_reference_genome[key]:
# val = json_stats_no_pb["bioentities"]["by_filtered_taxon"]["cluster"][key]["F"] if (key in json_stats_no_pb["bioentities"]["by_filtered_taxon"]["cluster"] and "F" in json_stats_no_pb["bioentities"]["by_filtered_taxon"]["cluster"][key]) else 0
# bioentities_by_reference_genome[key][btype]["B"] = bioentities_by_reference_genome[key][btype]["F"] - val
references_by_reference_genome = {}
for taxon in go_stats.reference_genomes_ids:
key = go_stats.taxon_label(taxon)
references_by_reference_genome[key] = json_stats["references"]["all"][
"by_filtered_taxon"][key] if key in json_stats["references"][
"all"]["by_filtered_taxon"] else {}
pmids_by_reference_genome = {}
for taxon in go_stats.reference_genomes_ids:
key = go_stats.taxon_label(taxon)
pmids_by_reference_genome[key] = json_stats["references"]["pmids"][
"by_filtered_taxon"][key] if key in json_stats["references"][
"pmids"]["by_filtered_taxon"] else {}
json_stats_summary = {
"release_date": json_stats["release_date"],
"ontology": ontology,
"annotations": {
"total":
json_stats["annotations"]["total"],
"total_no_pb":
json_stats_no_pb["annotations"]["total"],
"total_pb":
json_stats["annotations"]["total"] -
json_stats_no_pb["annotations"]["total"],
"by_aspect": {
"P":
json_stats["annotations"]["by_aspect"]["P"],
"F":
json_stats["annotations"]["by_aspect"]["F"],
"C":
json_stats["annotations"]["by_aspect"]["C"],
"B":
json_stats["annotations"]["by_aspect"]["F"] -
json_stats_no_pb["annotations"]["by_aspect"]["F"]
},
"by_bioentity_type_cluster":
json_stats["annotations"]["by_bioentity_type"]["cluster"],
"by_bioentity_type_cluster_no_pb":
json_stats_no_pb["annotations"]["by_bioentity_type"]["cluster"],
"by_evidence_cluster":
json_stats["annotations"]["by_evidence"]["cluster"],
"by_evidence_cluster_no_pb":
json_stats_no_pb["annotations"]["by_evidence"]["cluster"],
"by_model_organism":
annotations_by_reference_genome
},
"taxa": {
"total": json_stats["taxa"]["total"],
"filtered": json_stats["taxa"]["filtered"],
},
"bioentities": {
"total":
json_stats["bioentities"]["total"],
"total_no_pb":
json_stats_no_pb["bioentities"]["total"],
"by_type_cluster":
json_stats["bioentities"]["by_type"]["cluster"],
"by_type_cluster_no_pb":
json_stats_no_pb["bioentities"]["by_type"]["cluster"],
"by_model_organism":
bioentities_by_reference_genome
},
"references": {
"all": {
"total": json_stats["references"]["all"]["total"],
"total_no_pb": json_stats_no_pb["references"]["all"]["total"],
"by_model_organism": references_by_reference_genome
},
"pmids": {
"total": json_stats["references"]["pmids"]["total"],
"total_no_pb":
json_stats_no_pb["references"]["pmids"]["total"],
"by_model_organism": pmids_by_reference_genome
}
},
}
# removing by_reference_genome.by_evidence
for gen in json_stats_summary["annotations"]["by_model_organism"]:
del json_stats_summary["annotations"]["by_model_organism"][gen][
"by_evidence"]
utils.write_json(output_stats_summary, json_stats_summary)
print("Saving references file to <" + output_pmids +
"> and PubMed PMID file to <" + output_pubmed_pmids + ">")
references = go_stats.get_references()
references_lines = []
for k, v in references.items():
references_lines.append(k + "\t" + str(v))
pmids_lines = list(filter(lambda x: "PMID:" in x, references_lines))
pmids_ids = list(map(lambda x: x.split("\t")[0].split(":")[1],
pmids_lines))
utils.write_text(output_references, "\n".join(references_lines))
utils.write_text(output_pmids, "\n".join(pmids_lines))
utils.write_text(output_pubmed_pmids, "\n".join(pmids_ids))
print("Done.")
print("SUCCESS.")
def main(argv):
golr_url = ''
current_obo_url = ''
previous_obo_url = ''
output_rep = ''
release_date = ''
if len(argv) < 10:
print_help()
sys.exit(2)
try:
opts, argv = getopt.getopt(argv,"g:c:p:o:d:",["golrurl=", "cobo=", "pobo=", "orep=", "date="])
except getopt.GetoptError:
print_help()
sys.exit(2)
for opt, arg in opts:
if opt == '-h':
print_help()
sys.exit()
elif opt in ("-g", "--golrurl"):
golr_url = arg
elif opt in ("-c", "--cobo"):
current_obo_url = arg
elif opt in ("-p", "--pobo"):
previous_obo_url = arg
elif opt in ("-o", "--orep"):
output_rep = arg
elif opt in ("-d", "--date"):
release_date = arg
if not output_rep.endswith("/"):
output_rep += "/"
if not os.path.exists(output_rep):
os.mkdir(output_rep)
# 1 - Executing go_stats script
print("\n\n1a - EXECUTING GO_STATS SCRIPT (INCLUDING PROTEIN BINDING)...\n")
json_stats = go_stats.compute_stats(golr_url, release_date)
# data = None
# with open('newtest/go-stats.json', 'r') as myfile:
# data=myfile.read()
# json_stats = json.loads(data)
print("DONE.")
print("\n\n1b - EXECUTING GO_STATS SCRIPT (EXCLUDING PROTEIN BINDING)...\n")
json_stats_no_pb = go_stats.compute_stats(golr_url, release_date, True)
# with open('newtest/go-stats-no-pb.json', 'r') as myfile:
# data=myfile.read()
# json_stats_no_pb = json.loads(data)
print("DONE.")
# 2 - Executing go_ontology_changes script
print("\n\n2 - EXECUTING GO_ONTOLOGY_CHANGES SCRIPT...\n")
# with open('newtest/go-ontology-changes.json', 'r') as myfile:
# data=myfile.read()
# json_onto_changes = json.loads(data)
json_onto_changes = go_ontology_changes.compute_changes(current_obo_url, previous_obo_url)
utils.write_json(output_rep + "go-ontology-changes.json", json_onto_changes)
tsv_onto_changes = go_ontology_changes.create_text_report(json_onto_changes)
utils.write_text(output_rep + "go-ontology-changes.tsv", tsv_onto_changes)
print("DONE.")
# 4 - Refining go-stats with ontology stats
print("\n\n4 - EXECUTING GO_REFINE_STATS SCRIPT...\n")
ontology = json_onto_changes["summary"]["current"].copy()
del ontology["release_date"]
ontology["changes_created_terms"] = json_onto_changes["summary"]["changes"]["created_terms"]
ontology["changes_valid_terms"] = json_onto_changes["summary"]["changes"]["valid_terms"]
ontology["changes_obsolete_terms"] = json_onto_changes["summary"]["changes"]["obsolete_terms"]
ontology["changes_merged_terms"] = json_onto_changes["summary"]["changes"]["merged_terms"]
ontology["changes_biological_process_terms"] = json_onto_changes["summary"]["changes"]["biological_process_terms"]
ontology["changes_molecular_function_terms"] = json_onto_changes["summary"]["changes"]["molecular_function_terms"]
ontology["changes_cellular_component_terms"] = json_onto_changes["summary"]["changes"]["cellular_component_terms"]
json_stats = {
"release_date" : json_stats["release_date"],
"ontology" : ontology,
"annotations" : json_stats["annotations"],
"taxa" : json_stats["taxa"],
"bioentities" : json_stats["bioentities"],
"references" : json_stats["references"]
}
utils.write_json(output_rep + "go-stats.json", json_stats)
json_stats_no_pb = {
"release_date" : json_stats_no_pb["release_date"],
"ontology" : ontology,
"annotations" : json_stats_no_pb["annotations"],
"taxa" : json_stats_no_pb["taxa"],
"bioentities" : json_stats_no_pb["bioentities"],
"references" : json_stats_no_pb["references"]
}
utils.write_json(output_rep + "go-stats-no-pb.json", json_stats_no_pb)
annotations_by_reference_genome = json_stats["annotations"]["by_model_organism"]
for taxon in annotations_by_reference_genome:
for ecode in annotations_by_reference_genome[taxon]["by_evidence"]:
annotations_by_reference_genome[taxon]["by_evidence"][ecode]["B"] = json_stats["annotations"]["by_model_organism"][taxon]["by_evidence"][ecode]["F"] - json_stats_no_pb["annotations"]["by_model_organism"][taxon]["by_evidence"][ecode]["F"]
for ecode in annotations_by_reference_genome[taxon]["by_evidence_cluster"]:
annotations_by_reference_genome[taxon]["by_evidence_cluster"][ecode]["B"] = json_stats["annotations"]["by_model_organism"][taxon]["by_evidence_cluster"][ecode]["F"] - json_stats_no_pb["annotations"]["by_model_organism"][taxon]["by_evidence_cluster"][ecode]["F"]
bioentities_by_reference_genome = { }
for taxon in go_stats.reference_genomes_ids:
key = go_stats.taxon_label(taxon)
bioentities_by_reference_genome[key] = json_stats["bioentities"]["by_filtered_taxon"]["cluster"][key] if key in json_stats["bioentities"]["by_filtered_taxon"]["cluster"] else { }
# TODO: we don't have a way to filter on bioentity documents without direct annotations to PB ?
# for btype in bioentities_by_reference_genome[key]:
# val = json_stats_no_pb["bioentities"]["by_filtered_taxon"]["cluster"][key]["F"] if (key in json_stats_no_pb["bioentities"]["by_filtered_taxon"]["cluster"] and "F" in json_stats_no_pb["bioentities"]["by_filtered_taxon"]["cluster"][key]) else 0
# bioentities_by_reference_genome[key][btype]["B"] = bioentities_by_reference_genome[key][btype]["F"] - val
references_by_reference_genome = { }
for taxon in go_stats.reference_genomes_ids:
key = go_stats.taxon_label(taxon)
references_by_reference_genome[key] = json_stats["references"]["all"]["by_filtered_taxon"][key] if key in json_stats["references"]["all"]["by_filtered_taxon"] else { }
pmids_by_reference_genome = { }
for taxon in go_stats.reference_genomes_ids:
key = go_stats.taxon_label(taxon)
pmids_by_reference_genome[key] = json_stats["references"]["pmids"]["by_filtered_taxon"][key] if key in json_stats["references"]["pmids"]["by_filtered_taxon"] else { }
json_stats_summary = {
"release_date" : json_stats["release_date"],
"ontology" : ontology,
"annotations" : {
"total" : json_stats["annotations"]["total"],
"total_no_pb" : json_stats_no_pb["annotations"]["total"],
"total_pb" : json_stats["annotations"]["total"] - json_stats_no_pb["annotations"]["total"],
"by_aspect" : {
"P" : json_stats["annotations"]["by_aspect"]["P"],
"F" : json_stats["annotations"]["by_aspect"]["F"],
"C" : json_stats["annotations"]["by_aspect"]["C"],
"B" : json_stats["annotations"]["by_aspect"]["F"] - json_stats_no_pb["annotations"]["by_aspect"]["F"]
},
"by_bioentity_type_cluster" : json_stats["annotations"]["by_bioentity_type"]["cluster"],
"by_bioentity_type_cluster_no_pb" : json_stats_no_pb["annotations"]["by_bioentity_type"]["cluster"],
"by_evidence_cluster" : json_stats["annotations"]["by_evidence"]["cluster"],
"by_evidence_cluster_no_pb" : json_stats_no_pb["annotations"]["by_evidence"]["cluster"],
"by_model_organism" : annotations_by_reference_genome
},
"taxa" : {
"total" : json_stats["taxa"]["total"],
"filtered" : json_stats["taxa"]["filtered"],
},
"bioentities" : {
"total" : json_stats["bioentities"]["total"],
"total_no_pb" : json_stats_no_pb["bioentities"]["total"],
"by_type_cluster" : json_stats["bioentities"]["by_type"]["cluster"],
"by_type_cluster_no_pb" : json_stats_no_pb["bioentities"]["by_type"]["cluster"],
"by_model_organism" : bioentities_by_reference_genome
},
"references" : {
"all" : {
"total" : json_stats["references"]["all"]["total"],
"total_no_pb" : json_stats_no_pb["references"]["all"]["total"],
"by_model_organism" : references_by_reference_genome
},
"pmids" : {
"total" : json_stats["references"]["pmids"]["total"],
"total_no_pb" : json_stats_no_pb["references"]["pmids"]["total"],
"by_model_organism" : pmids_by_reference_genome
}
},
}
utils.write_json(output_rep + "go-stats-summary.json", json_stats_summary)
print("DONE.")
def main(argv):
golr_url = ''
output_rep = ''
release_date = ''
if len(argv) < 6:
print_help()
sys.exit(2)
try:
opts, argv = getopt.getopt(argv, "g:b:o:d:",
["golrurl=", "orep=", "date="])
except getopt.GetoptError:
print_help()
sys.exit(2)
for opt, arg in opts:
if opt == '-h':
print_help()
sys.exit()
elif opt in ("-g", "--golrurl"):
golr_url = arg
if not golr_url.endswith("/"):
golr_url = golr_url + "/"
elif opt in ("-o", "--orep"):
output_rep = arg
elif opt in ("-d", "--date"):
release_date = arg
if not output_rep.endswith("/"):
output_rep += "/"
if not os.path.exists(output_rep):
os.mkdir(output_rep)
# actual names of the files to be generated - can change here if needed
output_meta = output_rep + "go-meta.json"
output_meta_no_pb = output_rep + "go-meta-no-pb.json"
output_stats = output_rep + "go-stats.json"
output_stats_no_pb = output_rep + "go-stats-no-pb.json"
output_stats_tsv = output_rep + "go-stats.tsv"
output_stats_no_pb_tsv = output_rep + "go-stats-no-pb.tsv"
output_references = output_rep + "go-references.tsv"
output_pmids = output_rep + "go-pmids.tsv"
output_pubmed_pmids = output_rep + "GO.uid"
print("Will write stats to " + output_stats + " and " + output_stats_tsv)
json_stats = compute_stats(golr_url, release_date, False)
print("Saving Stats to <" + output_stats + "> ...")
utils.write_json(output_stats, json_stats)
print("Done.")
print("Saving Stats to <" + output_stats_tsv + "> ...")
tsv_stats = create_text_report(json_stats)
utils.write_text(output_stats_tsv, tsv_stats)
print("Done.")
print("Will write stats (excluding protein binding) to " +
output_stats_no_pb + " and " + output_stats_no_pb_tsv)
json_stats_no_pb = compute_stats(golr_url, release_date, True)
print("Saving Stats to <" + output_stats_no_pb + "> ...")
utils.write_json(output_stats_no_pb, json_stats_no_pb)
print("Done.")
print("Saving Stats (excluding protein binding) to <" +
output_stats_no_pb_tsv + "> ...")
tsv_stats_no_pb = create_text_report(json_stats_no_pb)
utils.write_text(output_stats_no_pb_tsv, tsv_stats_no_pb)
print("Done.")
json_meta = create_meta(json_stats)
print("Saving META to <" + output_meta + "> ...")
utils.write_json(output_meta, json_meta)
print("Done.")
json_meta_no_pb = create_meta(json_stats_no_pb)
print("Saving META to <" + output_meta_no_pb + "> ...")
utils.write_json(output_meta_no_pb, json_meta_no_pb)
print("Done.")
print("Saving PMID file to <" + output_pmids +
"> and PubMed PMID file to <" + output_pubmed_pmids + ">")
references = get_references()
pmids = {k: v for k, v in references.items() if "PMID:" in k}
pmids_ids = map(lambda x: x.split(":")[1], pmids)
pmids_lines = []
for k, v in pmids.items():
pmids_lines.append(k + "\t" + str(v))
utils.write_text(output_pmids, "\n".join(pmids_lines))
utils.write_text(output_pubmed_pmids, "\n".join(pmids_ids))
print("Done.")