Course Live All Levels Dr. Omics

DNA-Seq in Cancer Genomics: Variant Detection in Breast Cancer

Unlock the secrets of the cancer genome in this intensive, hands-on crash course. Transition from raw FASTQ files to identifying actionable mutations (SNVs, Indels, and CNVs) specifically in Breast Cancer datasets. Whether you are a biologist looking to go dry-lab or a data scientist entering oncology, this course provides the industry-standard pipeline (GATK, BWA, VEP) needed to drive precision medicine.

  • 5.0/5
  • English
  • Updated Sep 2026
DNA-Seq in Cancer Genomics: Variant Detection in Breast Cancer

About this course

Course Overview
Breast cancer is a highly heterogeneous disease driven by a complex landscape of genetic alterations. This course focuses on the DNA-Seq bioinformatics pipeline, specifically tailored for identifying somatic variants in breast cancer. Using real-world datasets (such as TCGA or matched tumor-normal pairs), participants will learn to navigate the computational challenges of tumor purity, heterogeneity, and subclonal evolution.

Why This Matters
Identifying mutations like BRCA1/2, PIK3CA, or HER2 amplifications is no longer just "research"—it is the backbone of Precision Oncology. This course equips you with the skills to turn massive sequencing data into a roadmap for targeted therapy and personalized patient care.

What you will learn

By the end of this course, you will be able to:
Independenty build a complete DNA-Seq pipeline for cancer research.
Distinguish between Germline and Somatic mutations with high confidence.
Identify "Driver" vs. "Passenger" mutations in breast cancer samples.
Interpret Variant Allele Frequency (VAF) to understand tumor purity.

Skills you will gain

Data Wrangling Quality Control Variant Calling Functional Annotation Visualization
Certification

Available

Issued by Dr. Omics

Course curriculum

1 module

  • "1= Introduction to NGS and DNAseq
  • 2= Basic Terminologies in NGS
  • 3= Understanding of SRA database
  • 4= Tools installation in Linux for Variation Calling
  • 5= Quality control
  • 6= Trimming of Reads
  • 7= Indexing of Genome and Alignment of Reads
  • 8= Variation calling using GATK
  • 9= Variant Effect Prediction(VEP)
  • 10= Variation Visualization (IGV)"

What you need to start

  • Biology: Basic understanding of DNA structure and the central dogma.
  • Technical: Familiarity with the Linux command line (e.g., cd, ls, grep) is recommended but not mandatory (introductory materials provided).
  • Hardware: A laptop with at least 8GB RAM (Cloud-based servers will be provided for heavy processing).

Who this course is for

  • Bioinformatics Students: Looking to specialize in clinical genomics.
  • Cancer Researchers & Postdocs: Transitioning from bench-work to computational analysis.
  • Medical Professionals: Pathologists and oncologists wanting to understand the "black box" of genomic reports.
  • Data Scientists: Interested in applying machine learning to biological datasets.
INR

₹6000

₹8000 25% off
USD

$80

$100 20% off

Indian learners pay in INR; international learners are billed in USD.

Enroll for International Students

Paying from outside India? Use this link to complete your payment.

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Active batch
Open for enrolment
01092026 DNA-Seq in Cancer Genomics: Variant Detection in Breast Cancer
  • Starts 01 Oct 2026
  • Ends 20 Oct 2026
  • Timing 7:00 PM – 8:00 PM
  • Days Mon, Tue, Wed, Thu, Fri
  • Platform MS Teams
This course includes
  • Format Live
  • Level All Levels
  • Language English
  • Modules 1
  • Certificate Yes
  • Provider Dr. Omics
  • Certificate
  • Recordings & Study Material
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