This pipeline provides QC information for lanes of Group B Strep (GBS) sequences that are imported on farm5 and QC-ed, assembled and mapped on pf. This pipeline gives:

• Relative abundance of GBS reads from Kraken
• Number of contigs
• GC content
• Genome length
• Coverage breadth
• Coverage depth
• Percentage HET SNPs out of total SNPs

1. Download pipeline in a directory where you keep your software or pipelines:

git clone https://github.com/sanger-bentley-group/GBS_QC_nf.git

1. Go into pipeline directory

cd GBS_QC_nf

2. Load nextflow module

module load nextflow

3. Run QC analysis using bsub:

bsub -o gbs_qc.%J.out -e gbs_qc.%J.err -R"select[mem>4000] rusage[mem=4000]" -M4000 'nextflow run main.nf --qc_reports_directory /path/to/gbs_qc_reports --lanes /path/to/gbs_lanes.txt'

Change:

• /path/to/gbs_lanes.txt to the file location of your list of lanes (that are imported and can be accessed via pf), e.g.

20280_5#1
20280_5#10
20280_5#100
20280_5#101
20280_5#102
20280_5#103
20280_5#104
20280_5#105
20280_5#106
20280_5#107

• /path/to/gbs_qc_reports to the directory location of the generated reports. (Default is the current directory)

You should get two tab-delimited output reports qc_report_summary.txt and qc_report_complete.txt in the --qc_reports_directory you specified. qc_report_summary.txt gives the lane_id and PASS/FAIL status. qc_report_complete.txt gives all the PASS/FAIL status for each QC.

In qc_report_summary.txt, if there are empty values:

• rel_abundance then these lanes may not have been imported/imported properly with a kraken report. Solution: Contact [email protected] to import those lanes again
• contig_no, gc_content or genome_len then these lanes may not have been assembled/assembled properly. Solution: Check the status of the assemblies using the pf status command. If -, contact [email protected] to assemble those lanes. If Failed/Running/Pending, ask path-help to re-trigger the assemblies again (Although Failed assemblies can suggest a problem with the read coverage)
• cov_breadth or cov_depth then these were not calculated in pf. Solution: Contact [email protected] to ask why these values for these lanes are not available in pf data -s.
• HET_SNPs then these lanes may not have had SNPs called. Solution: Check the status of the SNP call using pf status command. If -, contact [email protected] to call SNPs. If Failed/Running/Pending, ask path-help to re-trigger call SNPs again.

--rel_abund_threshold           Pass read QC if rel_abundance is > rel_abund_threshold. (Default: 70)
--species                       Species of interest. (Default: 'Streptococcus agalactiae')
--contig_no_threshold           Pass contig number QC if contig_no < contig_no_threshold. (Default: 500)
--assembler                     Assemblies of interest e.g. velvet or spades. (Default: spades)
--gc_content_lower_threshold    QC content must be >= gc_content_lower_threshold to pass. (Default: 32)
--gc_content_higher_threshold   QC content must be <= gc_content_higher_threshold to pass. (Default: 38)
--genome_len_lower_threshold    Genome length/total number of bases > genome_len_lower_threshold to pass. (Default: 1450000)
--genome_len_higher_threshold   Genome length/total number of bases < genome_len_higher_threshold to pass. (Default: 2800000)
--cov_depth_threshold           Genome depth of coverage > cov_depth_threshold to pass. (Default: 20)
--cov_breadth_threshold         Genome breadth of coverage > cov_breadth_threshold to pass. (Default: 70)
--het_snps_threshold            Number of HET SNPs <= het_snps_threshold to pass. (Default: 20)

The methods used for finding relative abundance from Kraken, coverage breadth, coverage depth and percentage HET SNPs out of total SNPs are described here (Sanger access only).

To run Python unit tests:

pytest tests

To test this pipeline on the farm:

module load nextflow/20.10.0-5430
bsub -G <YOUR GROUP> -o gbs_qc.o -e gbs_qc.e -R"select[mem>4000] rusage[mem=4000]" -M4000 'nextflow run main.nf --qc_reports_directory gbs_qc_report --lanes tests/test_data/test_lanes.txt'