CAW - Cancer Analysis Workflow
Cancer Analysis Workflow (CAW) is a complete open source pipeline to detect somatic variants from WGS data developed at the National Genomics Infastructure at SciLifeLab Stockholm, Sweden and National Bioinformatics Infastructure Sweden at SciLifeLab.
This pipeline is primarily used with cluster on the Swedish UPPMAX systems. However, the pipeline should be able to run on any system that supports Nextflow. The pipeline comes with some configuration for different systems. See the documentation for more information.
Caw is based on GATK best practices to align, realign and recalibrate short-read data in parallel for both normal and tumor sample. After these preprocessing steps, several somatic variant callers scan the resulting BAM files: MuTect1, MuTect2, Freebayes and Strelka are used to find somatic SNVs and small indels, also GATK HaplotyeCaller for both the normal and the tumor sample. For structural variants we use Manta. Furthermore, we are applying ASCAT to estimate sample heterogeneity, ploidy and CNVs.
The pipeline can begin the analysis either from raw FASTQ files, only from the realignment step, or directly with any subset of variant callers using recalibrated BAM files. At the end of the analysis the resulting VCF files are merged to facilitate further downstream processing, though results from each caller are also retained. The flow is capable of accommodating additional variant calling software or CNV callers. It is also prepared to process normal, tumor and several relapse samples.
Besides variant calls, the workflow provides quality controls presented by MultiQC.
The containers directory contains building rules for containers for all CAW processes.
This pipeline is listed on Elixir – Tools and Data Services Registry.
- Sebastian DiLorenzo
- Jesper Eisfeldt
- Szilveszter Juhos
- Max Käller
- Malin Larsson
- Marcel Martin
- Björn Nystedt
- Pall Olason
- Pelin Sahlén
See the code for CAW here: https://github.com/SciLifeLab/CAW