#secondary #alignments #seq #fields #github #script #qual

app secondary_rewriter

Adds SEQ and QUAL fields to secondary alignments from the primary alignment

11 releases

0.2.0 Sep 22, 2022
0.1.9 Sep 13, 2022

#3 in #seq

MIT license

225KB
211 lines

secondary_rewriter

Some aligners such as minimap2 do not write the SEQ and QUAL fields to secondary alignments (which are sometimes called multi-mappers, see Multiple mapping in SAMv1.pdf https://samtools.github.io/hts-specs/SAMv1.pdf) making it hard to analyze them (for example, SNPs will not be visible in a genome browser for secondary alignments and variant calling would not work on them). This program adds SEQ/QUAL to secondary alignments, referring to the primary alignment to get the SEQ and QUAL.

Minimap2 reference https://github.com/lh3/minimap2/issues/458 https://github.com/lh3/minimap2/pull/687

Install

First install rust, probably with rustup https://rustup.rs/

Then

cargo install secondary_rewriter

Usage

This small shell script automates the multi-step pipeline (supports BAM or CRAM)


#!/bin/bash

# write_secondaries.sh
# usage
# ./write_secondaries.sh <input.cram> <ref.fa> <output.cram> <nthreads default 4> <memory gigabytes, per-thread, default 1G>
# e.g.
# ./write_secondaries.sh input.cram ref.fa output.cram 16 2G

THR=${4:-4}
MEM=${5:-1G}


samtools view -@$THR -h $1 -T $2 -f256 > sec.txt
samtools view -@$THR -h $1 -T $2 -F256 | secondary_rewriter --generate-primary-loc-tag --secondaries sec.txt | samtools sort --reference $2 -@$THR -m $MEM - -o $3

Two-pass strategy

The two-pass strategy works as follows

  1. First pass: output ALL secondary alignments (reads with flag 256) to a external file
  2. Second pass: read secondary alignments from external file into memory, and then scan original SAM/BAM/CRAM to add SEQ and QUAL fields on the primary alignments to the secondary alignments, and pipe to samtools sort (needed because all the secondary reads will be out of order, added right after the primary alignment where the SEQ/QUAL is found)

This process avoids loading the entire SAM/BAM/CRAM into memory, but does require the samtools sort which is a bit expensive. It does load all the secondary alignments (pre-them-having SEQ/QUAL fields which is generally on the order of a couple gigabytes instead of hundred(s) of gigabytes) into memory though.

Result

Your secondary reads will now display with SNPs and such in a genome browser. Having SEQ is also important for variant calling.

Screenshots from both IGV and JBrowse 2 (just to show it's not browser specific) showing the same file before and after calling with secondary_rewriter on a region of the genome with many secondary alignments in a centromeric region (ultra long read hs37d5 from https://ftp-trace.ncbi.nlm.nih.gov/ReferenceSamples/giab/data/AshkenazimTrio/HG002_NA24385_son/Ultralong_OxfordNanopore/guppy-V2.3.4_2019-06-26/

Screenshot of before/after running secondary_rewriter in JBrowse 2

Screenshot of same data, before/after, in IGV

Help


secondary_rewriter 0.1.9
Adds SEQ and QUAL fields to secondary alignments from the primary alignment

USAGE:
    secondary_rewriter [OPTIONS]

OPTIONS:
    -g, --generate-primary-loc-tag     Boolean flag on whether to produce a tag like pl:Z:chr1:1000
                                       on the secondary alignments that says where the primary
                                       alignment is
    -h, --help                         Print help information
    -s, --secondaries <SECONDARIES>    Path to file of secondary reads (generated by e.g. samtools
                                       view -f256)
    -V, --version                      Print version information

--generate-primary-loc-tag creates a tag on the secondary reads like pl:Z:chr1:1000 to say where the primary read is

Runtime

The speed of this program is mostly limited by samtools view/samtools sort efficiency, so if you give samtools tons of threads and memory your performance will improve.

On a t2.2xlarge AWS instance it took 189 minutes (~3 hours) with 8 threads and 1GB per-thread sorting memory to run secondary_rewriter on a 218 gigabyte BAM file (ultra long read hs37d5 from https://ftp-trace.ncbi.nlm.nih.gov/ReferenceSamples/giab/data/AshkenazimTrio/HG002_NA24385_son/Ultralong_OxfordNanopore/guppy-V2.3.4_2019-06-26/)

Note also that the output data file is larger, in this example the result was 267Gb BAM vs the original 218Gb BAM.

Possible consideration

  • There are reasons that minimap2 may not output these fields (size of output being cited by the author), but it is perfectly possible to add the SEQ and QUAL back. This PR to minimap2 natively outputs the SEQ and QUAL https://github.com/lh3/minimap2/pull/687/files but it has been stated that minimap2 "will not" output these.

  • This program does not handle hard clipping in the CIGAR (H operator) but I haven't seen minimap2 output yet. If you see this let me know and a fix can probably be made.

  • Finally, you may also want to think about the implications of how to treat secondary alignments in your pipeline, for while this program can help in this particular circumstance, it may be unclear what the implications of these secondary/multi-mapping alignments are.

Dependencies

~3.5MB
~67K SLoC