A high throughput sequence QC analysis tool
The pipeline is a part of SCING (Single-Cell pIpeliNe Garden; pronounced as "sing" /siŋ/). For setup, please refer to this page. All the instructions below is given under the assumption that you have already configured SCING in your environment.
You need two files to run the FastQC pipeline - one inputs file and one labels file. Use the following example files to help you create your job file:
config/template.inputs.json
config/template.labels.json
conda activate scing
./submit.sh \
-k ~/keys/cromwell-secrets.json \
-i configs/sample.inputs.json \
-l configs/sample.labels.json \
-o FastQC.options.aws.json
$ ./get-fastq-list-from-s3.sh \
-p s3://dp-lab-data/collaborators/lowe/p53_loss_enrichment/Preclinical_SP_batch1/genomic/
s3://dp-lab-data/collaborators/lowe/p53_loss_enrichment/Preclinical_SP_batch1/genomic/1740_Preclinical_SP_batch1_IGO_10682_11_S11_L001_R2_001.fastq.gz
s3://dp-lab-data/collaborators/lowe/p53_loss_enrichment/Preclinical_SP_batch1/genomic/1740_Preclinical_SP_batch1_IGO_10682_11_S11_L002_R2_001.fastq.gz