Biowulf High Performance Computing at the NIH
Afterqc on Biowulf

Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data. AfterQC can simply go through all fastq files in a folder and then output three folders: good, bad and QC folders, which contains good reads, bad reads and the QC results of each fastq file/pair.

References:

Documentation
Important Notes

Interactive job
Interactive jobs should be used for debugging, graphics, or applications that cannot be run as batch jobs.

Allocate an interactive session and run the program. Sample session (user input in bold:

[user@biowulf ~]$ sinteractive -c4 --mem=8g --gres=lscratch:10
salloc.exe: Pending job allocation 11086981
salloc.exe: job 11086981 queued and waiting for resources
salloc.exe: job 11086981 has been allocated resources
salloc.exe: Granted job allocation 11086981
salloc.exe: Waiting for resource configuration
salloc.exe: Nodes cn0882 are ready for job
srun: error: x11: no local DISPLAY defined, skipping
error: unable to open file /tmp/slurm-spank-x11.11086981.0
slurmstepd: error: x11: unable to read DISPLAY value

[user@cn0882 ~]$ cd /lscratch/$SLURM_JOB_ID

[user@cn0882 11086981]$ module load afterqc
[+] Loading afterqc  0.9.7  on cn0882
[+] Loading python 3.7  ...

[user@cn0882 11086981]$ python2 $afterqc_HOME/after.py  \
     -1 /fdb/app_testdata/fastq/H_sapiens/hg100_1m_pe1.fq.gz \
     -2 /fdb/app_testdata/fastq/H_sapiens/hg100_1m_pe2.fq.gz

/fdb/app_testdata/fastq/H_sapiens/hg100_1m_pe1.fq.gz options:
{'qc_only': False, 'version': '0.9.6', 'seq_len_req': 35, 'index1_file': None, 'trim_tail': 0, 'report_output_folder': None, 'trim_pair_same': True, 
'no_correction': False, 'debubble_dir': 'debubble', 'barcode_flag': 'barcode', 'read2_file': '/fdb/app_testdata/fastq/H_sapiens/hg100_1m_pe2.fq.gz', 
'barcode_length': 12, 'trim_tail2': 0, 'unqualified_base_limit': 60, 'allow_mismatch_in_poly': 2, 'read2_flag': 'R2', 'store_overlap': False, 
'debubble': False, 'read1_flag': 'R1', 'index2_flag': 'I2', 'draw': True, 'index1_flag': 'I1', 'mask_mismatch': False, 'barcode': False, 
'gzip': False, 'overlap_output_folder': None, 'barcode_verify': 'CAGTA', 'compression': 2, 'index2_file': None, 'qualified_quality_phred': 15, 
'trim_front': 1, 'good_output_folder': 'good', 'poly_size_limit': 35, 'n_base_limit': 5, 'qc_sample': 200000, 'trim_front2': 1, 'no_overlap': False, 
'input_dir': None, 'read1_file': '/fdb/app_testdata/fastq/H_sapiens/hg100_1m_pe1.fq.gz', 'qc_kmer': 8, 'bad_output_folder': None}

Time used: 544.626863003

[user@cn0882 11086981]$ ls -lh
total 12K
drwxr-xr-x 2 user user 4.0K Mar 22 17:47 bad
drwxr-xr-x 2 user user 4.0K Mar 22 17:47 good
drwxr-xr-x 2 user user 4.0K Mar 22 17:54 QC

[user@cn0882 11086981]$ exit
exit
salloc.exe: Relinquishing job allocation 11086981
salloc.exe: Job allocation 11086981 has been revoked.

[user@biowulf ~]$ 

Batch job
Most jobs should be run as batch jobs.

Create a batch input file (e.g. afterqc.sh). For example:

#!/bin/bash
set -e
module load afterqc
python2 $afterqc_HOME/after.py -1 /fdb/app_testdata/fastq/H_sapiens/hg100_1m_pe1.fq.gz -2 /fdb/app_testdata/fastq/H_sapiens/hg100_1m_pe2.fq.gz 

Submit this job using the Slurm sbatch command.

sbatch afterqc.sh
Swarm of Jobs
A swarm of jobs is an easy way to submit a set of independent commands requiring identical resources.

Create a swarmfile (e.g. afterqc.swarm). For example:

python2 $afterqc_HOME/after.py -1 sample1_1.fq.gz -2 sample1_2.fq.gz 
python2 $afterqc_HOME/after.py -1 sample2_1.fq.gz -2 sample2_2.fq.gz 
python2 $afterqc_HOME/after.py -1 sample3_1.fq.gz -2 sample3_2.fq.gz 

Submit this job using the swarm command.

swarm -f afterqc.swarm --module afterqc
where
-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 afterqc Loads the afterqc module for each subjob in the swarm