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62 changes: 62 additions & 0 deletions gnomad/utils/file_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -222,3 +222,65 @@ def repartition_for_join(
" partitions than the original HT!"
)
return ht._calculate_new_partitions(ht.n_partitions() * new_partition_percent)


def create_vds(
gvcfs: str,
output_path: str,
temp_path: str,
save_path: Optional[str] = None,
use_genome_default_intervals: bool = False,
use_exome_default_intervals: bool = False,
intervals: Optional[str] = None,
gvcf_batch_size: Optional[int] = None,
reference_genome: str = "GRCh38",
) -> hl.vds.VariantDataset:
"""
Combine GVCFs into a single VDS.

:param gvcfs: Path to file containing GVCF paths with no header.
:param output_path: Path to write output VDS.
:param temp_path: Directory path to write temporary files. A bucket with a life-cycle
policy is recommended.
:param save_path: Path to write combiner to on failure. Can be used to restart
combiner from a failed state. If not specified, defaults to temp_path +
combiner_plan.json.
:param use_genome_default_intervals: Use the default genome intervals.
:param use_exome_default_intervals: Use the default exome intervals.
:param intervals: Path to text file with intervals to use for VDS creation.
:param gvcf_batch_size: Number of GVCFs to combine into a Variant Dataset at once.
:param reference_genome: Reference genome to use. Default is GRCh38.
:return: Combined VDS.
"""
if not save_path and temp_path:
save_path = temp_path + "combiner_plan.json"

gvcfs = read_list_data(gvcfs)
intervals = (
hl.import_locus_intervals(
intervals, reference_genome=reference_genome
).interval.collect()
if intervals
else None
)

if not len(gvcfs) > 0:
raise DataException("No GVCFs provided in file")

if intervals and not len(intervals) > 0:
raise DataException("No intervals provided in passed intervals file")

logger.info("Combining %s GVCFs into a single VDS", len(gvcfs))
combiner = hl.vds.new_combiner(
output_path=output_path,
temp_path=temp_path,
save_path=save_path,
gvcf_paths=gvcfs,
use_genome_default_intervals=use_genome_default_intervals,
use_exome_default_intervals=use_exome_default_intervals,
intervals=intervals,
gvcf_batch_size=gvcf_batch_size,
)
combiner.run()
vds = hl.vds.read_vds(output_path)
return vds