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01 - Basic annotation workflow

Variant annotation: Workflow basics - To annotate variant data, read in your data using a VCF reader or MAF reader node, followed by the corresponding '_to_Bframe' node in the source file's reference genome. - Annotation nodes have a biomarker frame both as input and output, i.e. a JSON-based internal representation of the annotated variant data. Annotation modules can thus be freely sequentially aligned in an annotation workflow - Some modules rely on annotations of other modules (e.g. protein annotation). In that case, make sure to annotate with the required module first. Check out the required pre-annotations of a node by hovering over a node with the mouse. BFrame to_VCF VCF-Writer Variants Pathogenicity scores Functional regions VCF-Reader VCF _ to_ BFrame (GRCh38) Variant interpretation Conda Environment Protein_annotation Python Script CSV Writer Python Script Python Script File Reader Python Script Conda Environment Propagation Python Script Variant annotation: Workflow basics - To annotate variant data, read in your data using a VCF reader or MAF reader node, followed by the corresponding '_to_Bframe' node in the source file's reference genome. - Annotation nodes have a biomarker frame both as input and output, i.e. a JSON-based internal representation of the annotated variant data. Annotation modules can thus be freely sequentially aligned in an annotation workflow - Some modules rely on annotations of other modules (e.g. protein annotation). In that case, make sure to annotate with the required module first. Check out the required pre-annotations of a node by hovering over a node with the mouse. BFrame to_VCF VCF-Writer Variants Pathogenicity scores Functional regions VCF-Reader VCF _ to_ BFrame (GRCh38) Variant interpretation Conda Environment Protein_annotation Python Script CSV Writer Python Script Python Script File Reader Python Script Conda Environment Propagation Python Script

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