CoNvex Gap-cost alignMents for Long Reads (ngmlr) is a long-read mapper designed to sensitively align PacBilo or Oxford Nanopore to (large) reference genomes. It was designed to quickly and correctly align the reads, including those spanning (complex) structural variations. Ngmlr uses an SV aware k-mer search to find approximate mapping locations for a read and then a banded Smith-Waterman alignment algorithm to compute the final alignment. Ngmlr uses a convex gap cost model that penalizes gap extensions for longer gaps less than for shorter ones to compute precise alignments. The gap model allows ngmlr to account for both the sequencing error and real genomic variations at the same time and makes it especially effective at more precisely identifying the position of breakpoints stemming from structural variations. The k-mer search helps to detect and split reads that cannot be aligned linearly, enabling ngmlr to reliably align reads to a wide range of different structural variations including nested SVs (e.g. inversions flanked by deletions).
Allocate an interactive session and run the program.
Sample session (user input in bold):
[user@biowulf]$ sinteractive --cpus-per-task 4 salloc.exe: Pending job allocation 46116226 salloc.exe: job 46116226 queued and waiting for resources salloc.exe: job 46116226 has been allocated resources salloc.exe: Granted job allocation 46116226 salloc.exe: Waiting for resource configuration salloc.exe: Nodes cn3144 are ready for job [user@cn3144 ~]$ module load ngmlr [user@cn3144 ~]$ ngmlr -t $SLURM_CPUS_PER_TASK -r reference.fasta -q reads.fastq -o test.sam [user@cn3144 ~]$ exit salloc.exe: Relinquishing job allocation 46116226 [user@biowulf ~]$
Create a batch input file (e.g. ngmlr.sh). For example:
#!/bin/sh set -e module load ngmlr test -n "$SLURM_CPUS_PER_TASK" || SLURM_CPUS_PER_TASK=2 ngmlr -t $SLURM_CPUS_PER_TASK -r reference.fasta -q reads.fastq -o test.sam
Submit this job using the Slurm sbatch command.
sbatch [--cpus-per-task=#] [--mem=#] ngmlr.sh
Create a swarmfile (e.g. ngmlr.swarm). For example:
test -n "$SLURM_CPUS_PER_TASK" || SLURM_CPUS_PER_TASK=2; ngmlr -t $SLURM_CPUS_PER_TASK -r reference.fasta -q sample1.fastq -o sample1.sam test -n "$SLURM_CPUS_PER_TASK" || SLURM_CPUS_PER_TASK=2; ngmlr -t $SLURM_CPUS_PER_TASK -r reference.fasta -q sample2.fastq -o sample2.sam test -n "$SLURM_CPUS_PER_TASK" || SLURM_CPUS_PER_TASK=2; ngmlr -t $SLURM_CPUS_PER_TASK -r reference.fasta -q sample3.fastq -o sample3.sam test -n "$SLURM_CPUS_PER_TASK" || SLURM_CPUS_PER_TASK=2; ngmlr -t $SLURM_CPUS_PER_TASK -r reference.fasta -q sample4.fastq -o sample4.sam
Submit this job using the swarm command.
swarm -f ngmlr.swarm [-g #] [-t #] --module ngmlrwhere
-g # | Number of Gigabytes of memory required for each process (1 line in the swarm command file) |
-t # | Number of threads/CPUs required for each process (1 line in the swarm command file). |
--module ngmlr | Loads the NGMLR module for each subjob in the swarm |