These tools convert data between a legacy genomic file format and using ADAM’s schemas to store data in Parquet.
`transformAlignments <#transformAlignments>`__ command can
export to FASTQ, the
adam2fastq provides a simpler CLI with more
adam2fastq takes two required arguments and an
optional third argument:
INPUT: The input read file, in any ADAM-supported read format.
OUTPUT: The path to save an unpaired or interleaved FASTQ file to, or the path to save the first-of-pair reads to, for paired FASTQ.
SECOND_OUTPUT: If saving paired FASTQ, the path to save the second-of-pair reads to.
adam2fastq only supports the
-print_metrics option from the
default options. Additionally,
the following options:
-no_projection: By default,
adam2fastqonly projects the fields necessary for saving to FASTQ. This option disables that projection and projects all fields.
-output_oq: Outputs the original read qualities, if available.
-persist_level: Sets the Spark persistence level for cached data during the conversion back to FASTQ. If not provided, the intermediate RDDs are not cached.
-repartition: The number of partitions to save the data to. If provided, forces a shuffle.
-validation: Sets the validation stringency for checking whether reads are paired when saving paired reads. Defaults to
LENIENT.See validation stringency for more details.
These two commands translate read data between the single read alignment and fragment representations.
transformFragments takes two required arguments:
INPUT: The input fragment file, in any ADAM-supported read or fragment format.
OUTPUT: The path to save reads at, in any ADAM-supported read or fragment format.
transformFragments takes the default options.
transformFragments takes the following options:
-mark_duplicate_reads: Marks reads as fragment duplicates. Running mark duplicates on fragments improves performance by eliminating one
groupBy(and therefore, a shuffle) versus running on reads.
- Base quality binning: If the
-bin_quality_scoresoption is passed, the quality scores attached to the reads will be rewritten into bins. This option takes a semicolon (
;) delimited list, where each element describes a bin. The description for a bin is three integers: the bottom of the bin, the top of the bin, and the value to assign to bases in the bin. E.g., given the description
0,20,10:20,50,30, all quality scores between 0–19 will be rewritten to 10, and all quality scores between 20–49 will be rewritten to 30.
-load_as_alignments: Treats the input as an alignment file (uses
loadFragments), which behaves differently for unpaired FASTQ.
-save_as_alignments: Saves the output as a Parquet file of
Alignments, as SAM/BAM/CRAM, or as FASTQ, depending on the output file extension. If this option is specified, the output can also be sorted:
-sort_by_read_name: Sorts alignments by read name.
-sort_by_reference_position: Sorts alignments by the location where the reads are aligned. Unaligned reads are put at the end and sorted by read name. References are ordered lexicographically.
-sort_by_reference_position_and_index: Sorts alignments by the location where the reads are aligned. Unaligned reads are put at the end and sorted by read name. References are ordered by index that they are ordered in the SequenceDictionary.