Dear all,
We are excited to announce our online course “Practical Somatic Variant Analysis in Cancer Genomics”, taking place 27–29 April.
Course website: https://www.physalia-courses.org/cou...orkshops/cg26/
This workshop provides hands-on training in somatic variant detection and annotation, guiding participants through the complete workflow from raw sequencing data to identification of potentially pathogenic mutations in cancer genomes. Using whole-exome sequencing (WES) data from matched tumor-normal cell lines, attendees will learn industry-standard tools and methodologies used in cancer genomics research and precision oncology.
Learning outcomes include:
Perform QC on sequencing data and interpret metrics
Align reads to reference genomes and assess alignment quality
Distinguish germline and somatic variants
Run a complete somatic variant calling pipeline using GATK4 Mutect2
Annotate variants with VEP and interpret results in a cancer context
Analyze Variant Allele Frequency (VAF) distributions
Filter, prioritize, and visualize potentially pathogenic mutations
Course schedule: 2:00–5:00 PM Berlin time
Day 1: Foundations, sequencing QC, read alignment, data formats
Day 2: Somatic variant calling with GATK4, variant filtering, key resources
Day 3: Variant annotation, analysis in R, interpretation, and visualization
Best regards,
Carlo
--------------------
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
We are excited to announce our online course “Practical Somatic Variant Analysis in Cancer Genomics”, taking place 27–29 April.
Course website: https://www.physalia-courses.org/cou...orkshops/cg26/
This workshop provides hands-on training in somatic variant detection and annotation, guiding participants through the complete workflow from raw sequencing data to identification of potentially pathogenic mutations in cancer genomes. Using whole-exome sequencing (WES) data from matched tumor-normal cell lines, attendees will learn industry-standard tools and methodologies used in cancer genomics research and precision oncology.
Learning outcomes include:
Perform QC on sequencing data and interpret metrics
Align reads to reference genomes and assess alignment quality
Distinguish germline and somatic variants
Run a complete somatic variant calling pipeline using GATK4 Mutect2
Annotate variants with VEP and interpret results in a cancer context
Analyze Variant Allele Frequency (VAF) distributions
Filter, prioritize, and visualize potentially pathogenic mutations
Course schedule: 2:00–5:00 PM Berlin time
Day 1: Foundations, sequencing QC, read alignment, data formats
Day 2: Somatic variant calling with GATK4, variant filtering, key resources
Day 3: Variant annotation, analysis in R, interpretation, and visualization
Best regards,
Carlo
--------------------
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR