Exemple #1
0
def update_db(project):
	log = task.logger

	projects_out_port = task.ports("projects_out")

	project_id = project["id"]
	log.info("--- [{0}] --------------------------------------------".format(project_id))

	oclust = project["oncodriveclust"]
	del project["oncodriveclust"]

	if not os.path.exists(oclust["results"]):
		log.warn("No results have been found. Skipping it.")
		return

	log.info("Updating the project database ...")

	projdb = ProjectDb(project["db"])

	exc_path = os.path.join(project["temp_path"], "oncodriveclust-excluded-cause.tsv")

	log.info("  Excluded gene causes ...")
	log.debug("    > {0}".format(exc_path))

	count = 0
	with tsv.open(exc_path, "r") as exf:
		for gene, cause in tsv.lines(exf, (str, str), header=True):
			projdb.update_gene(Gene(id=gene, clust_exc_cause=cause))
			count += 1

	log.debug("    {0} genes excluded".format(count))

	log.info("  OncodriveCLUST results ...")

	with tsv.open(oclust["results"], "r") as f:
		types = (str, str, float, float, float)
		columns = ("GENE", "CLUST_COORDS", "ZSCORE", "PVALUE", "QVALUE")
		for gene, coords, zscore, pvalue, qvalue in tsv.lines(f, types, columns=columns, header=True, null_value="NA"):
			projdb.update_gene(Gene(id=gene, clust_coords=coords, clust_zscore=zscore, clust_pvalue=pvalue,
									clust_qvalue=qvalue, clust_exc_cause=ProjectDb.NO_GENE_EXC))

	projdb.commit()

	projdb.close()

	projects_out_port.send(project)
Exemple #2
0
def end():
	log = task.logger

	projects_out_port = task.ports("projects_out")

	log.info("Updating the projects database ...")

	for project_id, projects in task.context.items():

		log.info("[{0}]".format(project_id))

		for index, project in enumerate(projects):
			projdb = ProjectDb(project["db"])

			if index == 0:
				log.info("  Functional impact ...")

				projdb.delete_sample_gene_fimpact()

				with tsv.open(project["sample_gene_fi_data"], "r") as f:
					types = (int, str, float, float, int, float, float, int, float, float, int)
					for fields in tsv.lines(f, types, header=True, null_value="-"):
						projdb.add_sample_gene_fimpact(*fields)

			ofm = project["oncodrivefm"]
			del project["oncodrivefm"]

			exc_path = os.path.join(project["temp_path"], "oncodrivefm-excluded-cause.tsv")

			log.info("  Excluded gene causes ...")
			log.debug("    > {0}".format(exc_path))

			count = 0
			with tsv.open(exc_path, "r") as exf:
				for gene, cause in tsv.lines(exf, (str, str), header=True):
					projdb.update_gene(Gene(id=gene, fm_exc_cause=cause))
					count += 1

			log.debug("    {0} genes excluded".format(count))

			for feature, results_path in ofm:

				log.info("  {0} ...".format(feature))
				log.debug("    > {0}".format(results_path))

				if feature == "genes":
					with tsv.open(results_path, "r") as f:
						count = 0
						for gene, pvalue, qvalue in tsv.lines(f, (str, float, float), header=True):
							projdb.update_gene(Gene(id=gene, fm_pvalue=pvalue,
													fm_qvalue=qvalue, fm_exc_cause=ProjectDb.NO_GENE_EXC))
							count += 1
						log.info("    {0} genes".format(count))
				elif feature == "pathways":
					with tsv.open(results_path, "r") as f:
						count = 0
						for pathway, zscore, pvalue, qvalue in tsv.lines(f, (str, float, float, float), header=True):
							projdb.update_pathway(Pathway(id=pathway, fm_zscore=zscore,
														  fm_pvalue=pvalue, fm_qvalue=qvalue))
							count += 1
						log.info("    {0} pathways".format(count))

			projdb.commit()

			projdb.close()

		projects_out_port.send(projects[0])
Exemple #3
0
def update_db(project):
    log = task.logger

    config = GlobalConfig(task.conf)

    projects_port = task.ports("projects_out")

    log.info("--- [{0}] --------------------------------------------".format(project["id"]))

    partitions = project["partitions"]

    if not os.path.exists(config.vardb_path):
        log.warn("Database for variation external references not found")
        log.debug("> {0}".format(conf["vardb_path"]))

    varxdb = VarXrefsDb(config.vardb_path)
    varxdb.open()

    projdb = ProjectDb(project["db"])

    updated_variants = set()

    plen = len(partitions)

    gene_xrefs = defaultdict(set)

    for part in partitions:
        log.info("Updating database with partition data ({0} out of {1}) ...".format(part["index"] + 1, plen))

        log.info("  VEP results ...")

        ctype = lambda v: v.split(",")

        with open(part["vep_path"], "r") as vf:
            for fields in tsv.lines(vf, (int, str, str, ctype, str, str, str, float, float), null_value="-"):
                (
                    var_id,
                    gene,
                    transcript,
                    consequences,
                    protein_pos,
                    aa_change,
                    protein,
                    sift_score,
                    pph2_score,
                ) = fields

                var = projdb.get_variant(var_id)

                xrefs = varxdb.get_xrefs(var.chr, var.start, var.ref, var.alt, var.strand)

                if xrefs is not None:
                    xrefs = ["{0}:{1}".format(source, xref) for source, xref in xrefs]
                    gene_xrefs[gene].update(xrefs)

                    if len(xrefs) == 0:
                        xrefs = None

                projdb.update_variant(Variant(id=var_id, xrefs=xrefs))

                projdb.add_consequence(
                    Consequence(
                        var=Variant(id=var_id),
                        transcript=transcript,
                        gene=gene,
                        ctypes=consequences,
                        protein_pos=protein_pos,
                        aa_change=aa_change,
                        protein=protein,
                    )
                )

        log.info("  Transcript functional impacts ...")

        with open(part["tfi_path"], "r") as f:
            types = (int, str, str, int, float, float, int, float, float, int, float, float, int)
            columns = [0, 1, 3, 6, 7, 8, 9, 11, 12, 13, 15, 16, 17]
            for fields in tsv.lines(f, types, columns=columns, null_value="-"):
                (
                    var_id,
                    transcript,
                    uniprot,
                    impact,
                    sift_score,
                    sift_tfic,
                    sift_class,
                    pph2_score,
                    pph2_tfic,
                    pph2_class,
                    ma_score,
                    ma_tfic,
                    ma_class,
                ) = fields
                print fields

                projdb.update_consequence(
                    Consequence(
                        var=Variant(id=var_id),
                        transcript=transcript,
                        uniprot=uniprot,
                        sift_score=sift_score,
                        sift_tfic=sift_tfic,
                        sift_tfic_class=sift_class,
                        pph2_score=pph2_score,
                        pph2_tfic=pph2_tfic,
                        pph2_tfic_class=pph2_class,
                        ma_score=ma_score,
                        ma_tfic=ma_tfic,
                        ma_tfic_class=ma_class,
                        impact=impact,
                    )
                )

    log.info("Updating variant-gene functional impacts ...")

    with open(project["gfi_path"], "r") as f:
        types = (int, str, float, int, str)
        for var_id, gene, impact, coding_region, prot_changes in tsv.lines(f, types, null_value="-"):
            projdb.add_affected_gene(
                AffectedGene(
                    var=Variant(id=var_id),
                    gene_id=gene,
                    impact=impact,
                    coding_region=coding_region,
                    prot_changes=prot_changes,
                )
            )

    log.info("Updating database with gene external variant references ...")

    for gene, xrefs in gene_xrefs.items():
        projdb.update_gene(Gene(id=gene, xrefs=xrefs))

    projdb.commit()
    projdb.close()

    varxdb.close()

    del project["partitions"]

    projects_port.send(project)