Course Live Advanced Dr. Omics Edu

Cancer Bioinformatics in R: Bioconductor, TCGA Data & Survival Analysis

A hands-on cancer bioinformatics course covering R, Bioconductor, TCGA data analysis, differential expression, survival analysis, and biological interpretation.

  • 5.0/5
  • English
  • Updated Oct 2026
INR

₹45000

₹60000 25% off
USD

$600

$700 14% 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.

Make an Enquiry
Cancer Bioinformatics in R: Bioconductor, TCGA Data & Survival Analysis

About this course

The Cancer Bioinformatics in R: Bioconductor, TCGA Data & Survival Analysis at Dr. Omics Edu is a live, mentor-led online course in cancer bioinformatics and genomics. It walks through the standard R workflow for TCGA cancer data, ending in survival analysis. You learn on real biological data and finish with a cancer genomics analysis on a real dataset that you can show to an employer, a guide or an admissions panel.
In this course you move through accessing and downloading tcga data, working with bioconductor packages and expression and mutation data processing, then apply them in a hands-on project. The course runs live online across 1 module, so you can ask your mentor questions as you work. It is an advanced-level course, best suited to learners who already know the fundamentals.

What you will learn

• Accessing and downloading TCGA data
• Working with Bioconductor packages
• Expression and mutation data processing
• Differential expression in cancer cohorts
• Kaplan-Meier and Cox survival analysis
• Biomarker interpretation and reporting
Cancer genomics analyst, oncology bioinformatics researcher, research associate, and a strong profile for cancer research roles.

Skills you will gain

R Bioconductor TCGAbiolinks DESeq2 survival survminer
Certification

Available

Issued by Dr. Omics Edu

Course curriculum

1 module

  • Day 1 – Getting started with R for bioinformatics: RStudio setup, scripts, and basic syntax.
  • Day 2 – Understanding data types and variables in R (numeric, character, logical, factors).
  • Day 3 – Efficient data structures for genomic data (vectors, matrices, data frames, lists).
  • Day 4 – Importing, exporting, and handling biological data (CSV, TSV, FASTA/FASTQ basics).
  • Day 5 – Control structures for data processing in R (if-else, for/while loops, apply family).
  • Day 6 – Writing functions for automating bioinformatics workflows.
  • Day 7 – Managing and utilizing R packages for analysis using Bioconductor.
  • Day 8 – Data manipulation for genomic and expression data with dplyr and tidyverse.
  • Day 9 – Visualizing biological data with R-1: basic plots, PCA plots, and Venn diagrams (ggplot2).
  • Day 10 – Visualizing biological data with R-2: heatmaps, volcano plots, and MA plots.
  • Day 11 – Bioconductor core: working with SummarizedExperiment for omics data.
  • Day 12 – Bioconductor core: genomic ranges and interval operations with GRanges.
  • Day 13 – TCGA data extraction and preparation using TCGAbiolinks.
  • Day 14 – Cancer survival analysis with survival and survminer (Kaplan-Meier, Cox models).
  • Day 15 – Publication-ready plots and Complex Heatmaps for multi-omics data presentation.

What you need to start

  • Basic understanding of molecular biology, genetics, or cancer biology.
  • Basic computer skills.
  • Prior R programming experience is helpful but not mandatory.
  • Basic understanding of statistics is recommended.
  • No prior experience with TCGA or Bioconductor is required.

Who this course is for

  • B.Sc, M.Sc, B.Tech, M.Tech, MBBS, B.Pharm and PhD students and researchers in biotechnology, oncology, genetics or life sciences.
INR

₹45000

₹60000 25% off
USD

$600

$700 14% 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.

Make an Enquiry
Active batch
Open for enrolment
Programming for Cancer Bioinformatics (R)
  • Starts 19 Oct 2026
  • Ends 06 Nov 2026
  • Timing 7:00 PM – 8:00 PM
  • Days Mon, Tue, Wed, Thu, Fri
  • Platform MS Teams
This course includes
  • Format Live
  • Level Advanced
  • Language English
  • Modules 1
  • Certificate Yes
  • Provider Dr. Omics Edu
  • Live
  • instructor-led interactive sessions.
  • Hands-on R and Bioconductor exercises.
  • Practical analysis of representative TCGA datasets.
  • Step-by-step guidance through cancer data analysis workflows.
  • Gene-expression analysis and visualization exercises.
  • Hands-on survival analysis and Kaplan–Meier plots.
  • Supporting datasets and learning resources.
  • Course materials for reference and practice.
  • Certificate of participation/completion as applicable.
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