Somatic Variant Calling in Cancer Genomics: A Hands-On DNA-Seq Pipeline
A hands-on crash course covering the complete somatic variant calling workflow from raw DNA-Seq reads to variant identification, annotation, and cancer genomics interpretation.
- 5.0/5
- English
- Updated Sep 2026
About this course
Somatic Variant Calling in Cancer Genomics: A Hands-On DNA-Seq Pipeline is a practical, hands-on course designed to introduce participants to the computational analysis of DNA-Seq data for identifying somatic variants associated with cancer.
Participants will learn the key stages of a somatic variant calling workflow, beginning with raw FASTQ data quality assessment and preprocessing, followed by read alignment, post-alignment processing, variant calling, filtering, annotation, and interpretation. The course emphasizes understanding how computational pipelines transform sequencing data into biologically meaningful variant information.
Through guided practical exercises, participants will work with representative cancer DNA-Seq datasets and gain an understanding of commonly used tools, file formats, quality metrics, and variant interpretation approaches used in cancer genomics research.
What you will learn
Skills you will gain
Certification
Available
Issued by Dr. Omics EduCourse curriculum
1 moduleWhat you need to start
- Basic understanding of molecular biology and genetics.
- Basic knowledge of DNA sequencing and NGS concepts is recommended.
- Familiarity with the Linux command line is helpful but not mandatory.
- Basic computer skills.
- No prior experience in somatic variant calling is required.
Who this course is for
- Undergraduate and postgraduate students in Bioinformatics, Biotechnology, Biochemistry, Genetics, Microbiology, Biology, and Life Sciences.
- Bioinformatics and genomics students.
- Research scholars and PhD students.
- Researchers working with NGS and cancer genomics data.
- Beginners interested in DNA-Seq and variant analysis.
- Life-science professionals looking to develop practical cancer genomics skills.