#
Map Reads onto a genome with strobealign
- at least 4 cores/threads available
- a genome assembly in FASTA format: .fasta .fa .fasta.gz .fa.gz case insensitive
- paired-end fastq sequence files
gzipped recommended
- sample name: a-z 0-9 . _ - case insensitive
- forward: _F .F .1 _1 _R1_001 .R1_001 _R1 .R1
- reverse: _R .R .2 _2 _R2_001 .R2_001 _R2 .R2
- fastq extension: .fq .fastq case insensitive
Once sequences have been trimmed and passed through other QC filters, they will need to be aligned to a reference genome. This module within Harpy expects filtered reads as input, such as those derived using harpy qc . You can map reads onto a genome assembly with Harpy using the align strobe module:
harpy align strobe OPTIONS... REFERENCE INPUTS...
harpy align strobe genome.fasta Sequences/
#
Running Options
In addition to the common runtime options , the align strobe module is configured using these command-line arguments:
#
Molecule distance
The --molecule-distance
option is used during the BWA alignment workflow
to assign alignments a unique Molecular Identifier MI:i
tag based on their
haplotag barcode and the distance threshold you specify. See
haplotag data for more information on
what this value does. Set this value to 0
to skip distance-based deconvolution,
which may improve detection of very large structural variants.
#
Quality filtering
The --min-quality
argument filters out alignments below a given MQ threshold. The default, 30
, keeps alignments
that are at least 99.9% likely correctly mapped. Set this value to 1
if you only want alignments removed with
MQ = 0 (0% likely correct). You may also set it to 0
to keep all alignments for diagnostic purposes.
The plot below shows the relationship between MQ score and the likelihood the alignment is correct and will serve to help you decide
on a value you may want to use. It is common to remove alignments with MQ <30 (<99.9% chance correct) or MQ <40 (<99.99% chance correct).
Every alignment in a BAM file has an associated mapping quality score (MQ) that informs you of the likelihood that the alignment is accurate. This score can range from 0-40, where higher numbers mean the alignment is more likely correct. The math governing the MQ score actually calculates the percent chance the alignment is incorrect:
\%\ chance\ incorrect = 10^\frac{-MQ}{10} \times 100\\ \text{where }0\le MQ\le 40
You can simply subtract it from 100 to determine the percent chance the alignment is correct:
\%\ chance\ correct = 100 - \%\ chance\ incorrect\\ \text{or} \\ \%\ chance\ correct = (1 - 10^\frac{-MQ}{10}) \times 100
#
Marking PCR duplicates
Harpy uses samtools markdup
to mark putative PCR duplicates by using both the BX
tag
as a UMI (unique molecule identified) for more accurate duplicate detection. The read name
is also parsed to determine if the sequencing platform was HiSeq/NovaSeq to distinguish between
PCR and optical duplicates. Duplicate marking also uses the -S
option to mark supplementary (chimeric)
alignments as duplicates if the primary alignment was marked as a duplicate. Duplicates get marked but are not removed.
#
Strobealign workflow
- ignores (but retains) barcode information
- ultra-fast
- as-good-or-better accuracy to BWA MEM for sequences greater than 100bp
- accuracy may be lower for sequences less than 100bp
The strobealign workflow is nearly identical to the BWA workflow,
the only real difference being how the input genome is indexed and that alignment is performed with
strobealign
instead of BWA. Duplicates are marked using samtools markdup
.
The BX:Z
tags in the read headers are still added to the alignment headers, even though barcodes
are not used to inform mapping. The -m
threshold is used for alignment molecule assignment.
graph LR A([index genome]):::clean --> B([align to genome]):::clean B-->C([sort alignments]):::clean C-->XX([standardize barcodes]):::clean XX-->D([mark duplicates]):::clean D-->E([assign molecules]):::clean E-->F([alignment metrics]):::clean D-->G([barcode stats]):::clean G-->F subgraph aln [Inputs] Z[FASTQ files]:::clean---genome[genome]:::clean end aln-->B & A subgraph markdp [mark duplicates via `samtools`] direction LR collate:::clean-->fixmate:::clean fixmate-->sort:::clean sort-->markdup:::clean end style markdp fill:#f0f0f0,stroke:#e8e8e8,stroke-width:2px,rx:10px,ry:10px style aln fill:#f0f0f0,stroke:#e8e8e8,stroke-width:2px,rx:10px,ry:10px classDef clean fill:#f5f6f9,stroke:#b7c9ef,stroke-width:2px
The default output directory is Align/strobealign
with the folder structure below. Sample1
is a generic sample name for demonstration purposes.
The resulting folder also includes a workflow
directory (not shown) with workflow-relevant runtime files and information.
Align/strobealign
├── Sample1.bam
├── Sample1.bam.bai
├── logs
│ ├── sample1.strobealign.log
│ ├── sample1.markdup.log
│ │── sample1.sort.log
└── reports
├── barcodes.summary.html
├── strobealign.stats.html
├── Sample1.html
└── data
├── bxstats
│ └── Sample1.bxstats.gz
└── coverage
└── Sample1.cov.gz
By default, Harpy runs strobealign
with these parameters (excluding inputs and outputs):
strobealign [--use-index -r ...] -t THREADS -U -C --rg-id={sample} --rg=SM:{sample} {input.genome} {input.fastq}
Below is a list of all strobealign
command line arguments, excluding those Harpy already uses or those made redundant by Harpy's implementation of it.
These are the summary reports Harpy generates for this workflow. You may right-click the images and open them in a new tab if you wish to see the examples in better detail.
An aggregate report of barcode-specific alignment information for all samples.
Reports the inferred molecule sized based on barcodes in the alignments.
Reports the general statistics computed by samtools stats
and flagstat