fq2bam_meth

NVIDIA Parabricks v4.3.1 Download PDF

Generate BAM/CRAM output given one or more pairs of FASTQ files from bisulfite sequencing (BS-Seq). Can also optionally generate a BQSR report.

The tool fq2bam_meth is a fast, accurate algorithm for mapping methylated DNA sequence reads to a reference genome, performing local alignment, and producing alignment for different parts of the query sequence. It implements the baseline tool bwa-meth [1] [2] in a performant method using fq2bamfast (BWA-MEM + GATK) as a backend for processing on GPU.

fq2bam_meth is the Parabricks wrapper for bwa-meth, which will sort the output and can mark duplicates and recalibrate base quality scores in line with GATK best practices.

The Parabricks fq2bam_meth tool is capable of handling longer reads and is less sensitive to errors than other alignment algorithms. We enable fast and accurate whole-genome bisulfite sequencing (WGBS) to detect DNA-methylation at the single base pair level [3].

Some of the advantages of using fq2bam_meth over similar tools include:

  1. It is faster than many other BS-Seq alignment algorithms, making it the ideal choice for high-throughput analysis.

  2. It maintains compatibility with existing CPU-based tools.

fq2bam_meth uses an accelerated version of BWA-MEM to generate BAM/CRAM output given one or more pairs of FASTQ files from BS-Seq. The user can turn-off marking of duplicates by adding the --no-markdups option. The BQSR step is only performed if the --knownSites input and --out-recal-file output options are provided; doing so will also generate a BQSR report.

Prior to running alignment, the reference genome must be converted using baseline bwa-meth. The bwa-meth indexing step produces a reference fasta file with a name formatted as fasta.bwameth.c2t. The indexing preparation step requires running bwameth.py index $REF.fasta. Baseline bwa-meth requires baseline BWA-MEM to be in the user's path for indexing functionality. Note that indexing is a time-consuming prerequisite that should only need to be completed once per reference genome. The bwameth.py script can be found here.

fq2bam_meth_diagram.png

Copy
Copied!
            

# This command assumes all the inputs are in INPUT_DIR and all the outputs go to OUTPUT_DIR. docker run --rm --gpus all --volume INPUT_DIR:/workdir --volume OUTPUT_DIR:/outputdir \ --workdir /workdir \ nvcr.io/nvidia/clara/clara-parabricks:4.3.1-1 \ pbrun fq2bam_meth \ --ref /workdir/${REFERENCE_FILE} \ --in-fq /workdir/${INPUT_FASTQ_1} /workdir/${INPUT_FASTQ_2} \ --knownSites /workdir/${KNOWN_SITES_FILE} \ --out-bam /outputdir/${OUTPUT_BAM} \ --out-recal-file /outputdir/${OUTPUT_RECAL_FILE}

The commands below are the bwa-meth-0.2.7, bwa-0.7.15, and GATK4 counterpart of the Parabricks command above. The output from these commands will be identical to the output from the above command. See the Output Comparison page for comparing the results.

Note

Set --bwa-options="-K 10000000" in fq2bam_meth and -K 10000000 in baseline to produce compatible pair-ended results.

Note

fq2bam_meth will not strip _R1 and _R2 from read names during preprocessing like baseline bwa-meth.

Copy
Copied!
            

# Run bwa-meth and pipe the output to create a sorted BAM. $ python bwa-meth.py \ --read-group '@RG\tID:sample_rg1\tLB:lib1\tPL:bar\tSM:sample\tPU:sample_rg1' \ --reference <INPUT_DIR>/${REFERENCE_FILE} <INPUT_DIR>/${INPUT_FASTQ_1} <INPUT_DIR>/${INPUT_FASTQ_2} \ -t 32 -K 10000000 | \ gatk SortSam \ --java-options -Xmx30g \ --MAX_RECORDS_IN_RAM 5000000 \ -I /dev/stdin \ -O cpu.bam \ --SORT_ORDER coordinate # Mark duplicates. $ gatk MarkDuplicates \ --java-options -Xmx30g \ -I cpu.bam \ -O mark_dups_cpu.bam \ -M metrics.txt # Generate a BQSR report. $ gatk BaseRecalibrator \ --java-options -Xmx30g \ --input mark_dups_cpu.bam \ --output <OUTPUT_DIR>/${OUTPUT_RECAL_FILE} \ --known-sites <INPUT_DIR>/${KNOWN_SITES_FILE} \ --reference <INPUT_DIR>/${REFERENCE_FILE}

Run GPU-accelerated bwa-meth compatible alignment, co-ordinate sorting, marking duplicates, and Base Quality Score Recalibration to convert bisulfite reads from FASTQ to BAM/CRAM.

Input/Output file options

--ref REF

Path to the reference file. We will automatically look for <filename>.bwameth.c2t. Converted fasta reference must exist from prior conversion with baseline bwa-meth (default: None)

Option is required.

--in-fq [IN_FQ ...]

Path to the pair-ended FASTQ files followed by optional read groups with quotes (Example: "@RG\tID:foo\tLB:lib1\tPL:bar\tSM:sample\tPU:foo"). The files must be in fastq or fastq.gz format. All sets of inputs should have a read group; otherwise, none should have a read group, and it will be automatically added by the pipeline. This option can be repeated multiple times. Example 1: --in-fq sampleX_1_1.fastq.gz sampleX_1_2.fastq.gz --in-fq sampleX_2_1.fastq.gz sampleX_2_2.fastq.gz. Example 2: --in-fq sampleX_1_1.fastq.gz sampleX_1_2.fastq.gz "@RG\tID:foo\tLB:lib1\tPL:bar\tSM:sample\tPU:unit1" --in-fq sampleX_2_1.fastq.gz sampleX_2_2.fastq.gz "@RG\tID:foo2\tLB:lib1\tPL:bar\tSM:sample\tPU:unit2". For the same sample, Read Groups should have the same sample name (SM) and a different ID and PU. (default: None)

--in-se-fq [IN_SE_FQ ...]

Path to the single-ended FASTQ file followed by optional read group with quotes (Example: "@RG\tID:foo\tLB:lib1\tPL:bar\tSM:sample\tPU:foo"). The file must be in fastq or fastq.gz format. Either all sets of inputs have a read group, or none should have one, and it will be automatically added by the pipeline. This option can be repeated multiple times. Example 1: --in-se-fq sampleX_1.fastq.gz --in-se-fq sampleX_2.fastq.gz . Example 2: --in-se-fq sampleX_1.fastq.gz "@RG\tID:foo\tLB:lib1\tPL:bar\tSM:sample\tPU:unit1" --in-se-fq sampleX_2.fastq.gz "@RG\tID:foo2\tLB:lib1\tPL:bar\tSM:sample\tPU:unit2" . For the same sample, Read Groups should have the same sample name (SM) and a different ID and PU. (default: None)

--in-fq-list IN_FQ_LIST

Path to a file that contains the locations of pair-ended FASTQ files. Each line must contain the location of two FASTQ files followed by a read group, each separated by a space. Each set of files (and associated read group) must be on a separate line. Files must be in fastq/fastq.gz format. Line syntax: <fastq_1> <fastq_2> <read group> (default: None)

--knownSites KNOWNSITES

Path to a known indels file. The file must be in vcf.gz format. This option can be used multiple times. (default: None)

--interval-file INTERVAL_FILE

Path to an interval file in one of these formats: Picard-style (.interval_list or .picard), GATK-style (.list or .intervals), or BED file (.bed). This option can be used multiple times. (default: None)

--out-recal-file OUT_RECAL_FILE

Path of a report file after Base Quality Score Recalibration. (default: None)

--out-bam OUT_BAM

Path of a BAM/CRAM file. (default: None)

Option is required.

--out-duplicate-metrics OUT_DUPLICATE_METRICS

Path of duplicate metrics file after Marking Duplicates. (default: None)

--out-qc-metrics-dir OUT_QC_METRICS_DIR

Path of the directory where QC metrics will be generated. (default: None)

Tool Options:

--max-read-length MAX_READ_LENGTH

Maximum read length/size (i.e., sequence length) used for bwa and filtering FASTQ input (default: 480)

--min-read-length MIN_READ_LENGTH

Minimum read length/size (i.e., sequence length) used for bwa and filtering FASTQ input (default: 10)

-L INTERVAL, --interval INTERVAL

Interval within which to call bqsr from the input reads. All intervals will have a padding of 100 to get read records, and overlapping intervals will be combined. Interval files should be passed using the --interval-file option. This option can be used multiple times (e.g. "-L chr1 -L chr2:10000 -L chr3:20000+ -L chr4:10000-20000"). (default: None)

--bwa-options BWA_OPTIONS

Pass supported bwa mem options as one string. The current original bwa mem supported options are -M, -Y and -T (e.g. --bwa-options="-M -Y") (default: None)

--no-warnings

Suppress warning messages about system thread and memory usage. (default: None)

--filter-flag FILTER_FLAG

Don't generate SAM entries in the output if the entry's flag's meet this criteria. Criteria: (flag & filter != 0) (default: 0)

--skip-multiple-hits

Filter SAM entries whose length of SA is not 0 (default: None)

--align-only

Generate output BAM after bwa-mem. The output will not be co-ordinate sorted or duplicates will not be marked (default: None)

--no-markdups

Do not perform the Mark Duplicates step. Return BAM after sorting. (default: None)

--fix-mate

Add mate cigar (MC) and mate quality (MQ) tags to the output file. (default: None)

--markdups-assume-sortorder-queryname

Assume the reads are sorted by queryname for Marking Duplicates. This will mark secondary, supplementary, and unmapped reads as duplicates as well. This flag will not impact variant calling while increasing processing times. (default: None)

--markdups-picard-version-2182

Assume marking duplicates to be similar to Picard version 2.18.2. (default: None)

--monitor-usage

Monitor approximate CPU utilization and host memory usage during execution. (default: None)

--optical-duplicate-pixel-distance OPTICAL_DUPLICATE_PIXEL_DISTANCE

The maximum offset between two duplicate clusters in order to consider them optical duplicates. Ignored if --out-duplicate-metrics is not passed. (default: None)

--read-group-sm READ_GROUP_SM

SM tag for read groups in this run. (default: None)

--read-group-lb READ_GROUP_LB

LB tag for read groups in this run. (default: None)

--read-group-pl READ_GROUP_PL

PL tag for read groups in this run. (default: None)

--read-group-id-prefix READ_GROUP_ID_PREFIX

Prefix for the ID and PU tags for read groups in this run. This prefix will be used for all pairs of fastq files in this run. The ID and PU tags will consist of this prefix and an identifier, that will be unique for a pair of fastq files. (default: None)

-ip INTERVAL_PADDING, --interval-padding INTERVAL_PADDING

Amount of padding (in base pairs) to add to each interval you are including. (default: None)

--standalone-bqsr

Run standalone BQSR. (default: None)

--set-as-failed SET_AS_FAILED

Flag alignments to strand 'f' or 'r' as failing quality-control (QC) with the failed QC flag 0x200. BS-Seq libraries are often to a single strand; other strands can be flagged as QC failures. Note: f == OT, r == OB. Valid options are 'f' or 'r' (default: None)

--do-not-penalize-chimeras

Turn off the default heuristic which marks alignments as failing QC if the longest match is less than 44% of the original sequence length. Alignments which fail this heuristic are also un-paired (default: None)

Performance Options:

--bwa-nstreams BWA_NSTREAMS

Number of streams per GPU to use; note: more streams increases device memory usage (default: 4)

--bwa-cpu-thread-pool BWA_CPU_THREAD_POOL

Number of threads to devote to CPU thread pool per GPU (default: 16)

--gpuwrite

Use one GPU to accelerate writing final BAM. (default: None)

--gpuwrite-deflate-algo GPUWRITE_DEFLATE_ALGO

Choose the nvCOMP DEFLATE algorithm to use with --gpuwrite. Note these options do not correspond to CPU DEFLATE options. Valid options are 0 and 3. Option 0 is faster while option 3 provides a better compression ratio. (default=0) (default: None)

--gpusort

Use GPUs to accelerate sorting and marking. (default: None)

--use-gds

Use GPUDirect Storage (GDS) to enable a direct data path for direct memory access (DMA) transfers between GPU memory and storage. Must be used concurrently with --gpuwrite. Please refer to Parabricks Documentation > Best Performance for information on how to set up and use GPUDirect Storage. (default: None)

--memory-limit MEMORY_LIMIT

System memory limit in GBs during sorting and postsorting. By default, the limit is half of the total system memory. (default: 62)

--low-memory

Use low memory mode; will lower the number of streams per GPU (default: None)

Common options:

--logfile LOGFILE

Path to the log file. If not specified, messages will only be written to the standard error output. (default: None)

--tmp-dir TMP_DIR

Full path to the directory where temporary files will be stored.

--with-petagene-dir WITH_PETAGENE_DIR

Full path to the PetaGene installation directory. By default, this should have been installed at /opt/petagene. Use of this option also requires that the PetaLink library has been preloaded by setting the LD_PRELOAD environment variable. Optionally set the PETASUITE_REFPATH and PGCLOUD_CREDPATH environment variables that are used for data and credentials (default: None)

--keep-tmp

Do not delete the directory storing temporary files after completion.

--no-seccomp-override

Do not override seccomp options for docker (default: None).

--version

View compatible software versions.

GPU options:

--num-gpus NUM_GPUS

Number of GPUs to use for a run. GPUs 0..(NUM_GPUS-1) will be used.

Note

The --in-fq option takes the names of two FASTQ files, optionally followed by a quoted read group. The FASTQ filenames must not start with a hyphen.

Note

When using the --in-fq-list option a read group is required on each line of the input file.

[1]

Baseline bwa-meth: https://github.com/brentp/bwa-meth/

[2]

Bwa-meth manuscript: http://arxiv.org/abs/1401.1129

[3]

https://doi.org/10.1038/s41587-022-01336-9

Previous fq2bam (BWA-MEM + GATK)
Next fq2bamfast (BWA-MEM + GATK)
© Copyright 2024, Nvidia. Last updated on Jun 5, 2024.