Workflow for Illumina Quality Control and Filtering

Multiple paired datasets will be merged into single paired dataset.

Summary:

• FastQC on raw data files
• fastp for read quality trimming
• BBduk for phiX and (optional) rRNA filtering
• Kraken2 for taxonomic classification of reads (optional)
• BBmap for (contamination) filtering using given references (optional)
• FastQC on filtered (merged) data

Other UNLOCK workflows on WorkflowHub: https://workflowhub.eu/projects/16/workflows?view=default ...

Workflow for quality assessment of paired reads and classification using NGTax 2.0 and functional annotation using picrust2. In addition files are exported to their respective subfolders for easier data management in a later stage. Steps:

• FastQC (read quality control)
• NGTax 2.0
• Picrust 2
• Export module for ngtax

Variant Interpretation Pipeline (VIP) that annotates, filters and reports prioritized causal variants in humans, see https://github.com/molgenis/vip for more information.