10X Your Genomics Research Skills in 3 Days with The Cancer Genome Atlas (TCGA)!
THE CANCER GENOME ATLAS
3-Day Step-by-Step Live MASTERCLASS
Join 5,000+ Researchers & Bioinformatics Professionals Who Have Accelerated Their Genomics Expertise by Mastering The Cancer Genome Atlas (TCGA) in Just 3 Days!
- Batch Starts on 18th May, 2022 | 7 PM
- Batch Starts on 18th May, 2022 | 7 PM
Unlock the Power of The Cancer Genome Atlas (TCGA). Master Data Analysis, Visualization, and Interpretation to Stay Ahead in Precision Oncology.
SOME OF THE COMMON PAIN POINTS OF CANCER GENOME RESEARCHER
- Struggling with massive TCGA datasets, preprocessing challenges, and integrating multi-omics data.
- Difficulty using advanced computational tools, coding (R/Python), and statistical methods for genomic analysis.
- Challenges in deriving meaningful biological insights from complex genomic variations and mutation patterns.
- Ensuring data accuracy, avoiding errors, and maintaining reproducibility in large-scale analyses.
- Staying updated with the latest sequencing methods, pipelines, and AI-driven genomic analysis.
- Bridging the gap between raw genomic data and actionable insights for precision oncology applications.
Struggling to make sense of complex cancer genomics data? You’re not alone.
Master TCGA in just 3 days and take your research to the next level!”
More than 95% of researchers and professionals struggle to analyze cancer genomics data effectively. They often feel stuck, not realizing that mastering TCGA can be the key to breakthrough discoveries.
Struggling with cancer genomics data can slow down your research progress, leading to frustration and missed opportunities.
BENEFITS OF ATTENDING THE COURSE
- Learn how to efficiently access, process, and analyze TCGA datasets for impactful cancer research.
- Gain hands-on experience with tools and techniques used in precision oncology and genomics research.
- Unlock new insights, improve publication quality, and stay ahead in the evolving field of cancer genomics.
INTRODUCTION TO THE COURSE
Join our intensive 2-day masterclass on The Cancer Genome Atlas (TCGA) and gain hands-on experience in epigenetic and differential gene expression analysis for cancer research.
Led by industry experts, this program will equip you with essential bioinformatics skills to analyze TCGA datasets, identify cancer biomarkers, and integrate multi-omics data for precision medicine. Ideal for oncologists, cancer researchers, bioinformaticians, and molecular biologists, this masterclass offers practical training, expert insights, and networking opportunities.
Enhance your research capabilities and stay ahead in the evolving field of cancer genomics. Limited seats available—register now to advance your expertise!
- Hands-on Training – Analyze real TCGA datasets for cancer research.
- Expert-Led Sessions – Learn from top bioinformatics and oncology specialists.
- Career Advancement – Gain specialized skills to enhance your research and professional growth.
Learn How to Go From Beginner to Expert in Cancer Genomics in Just 3 Days!
- Deep Dive into TCGA Data Interpretation
- Epigenetics & Differential Gene Expression Analysis
- Discover Biomarkers for Precision Medicine
- Multi-Omics Data Integration
- Clinical & Translational Applications
CONTENTS OF THIS 2 DAY COURSE (TOPICS COVERED)
DAY 1 - Session 1 (10:00 AM - 11:00 AM)
1 Hr 00 Minutes
Introductory Session
Participants will Understand the Core Concepts of the Technology, including different parameters used and Terminologies.
DAY 1 - Session 2 (11:15 AM - 01:15 PM)
2 Hr 00 Minutes
Data Pre-Processing
We will Download and check the Quality of the data and remove bad-quality Reads, including anomalies, noise, duplicate data, Etc.
DAY 1 - Session 3 (02:00 PM - 04:00 PM)
2 Hr 00 Minutes
Mapping with Reference genome
Downloading the reference genome, building the index for mapping, then mapping our genome with the reference genome & analysing the mapping.
DAY 1 - Session 4 (04:15 PM - 06:00 PM)
1 Hr 45 Minutes
Post-Mapping Processing
Once the mapping is completed we will perform the extraction, filtering and restoring process of the mapped reads from the un-mapped reads.
DAY 2 - Session 1 (10:00 AM - 11:00 AM)
1 Hr 00 Minutes
Variant Calling & Filtering
Variant Calling & Filtering identifies genetic variations like SNPs and InDels from sequencing data & filtering ensures high-quality, reliable variants for studies.
DAY 2 - Session 2 (11:15 AM - 01:15 PM)
2 Hr 00 Minutes
Variant Annotation
Variant Annotation analyzes genetic variants to determine their biological impactaiding in disease research, functional genomics, and precision medicine.
DAY 2 - Session 3 (02:00 PM - 04:00 PM)
2 Hr 00 Minutes
Normality Testing, SNIP & Amputation
Normality tests assess distribution, SNP analysis identifies variants, and imputation predicts missing genotypes, enhancing statistical power in GWAS.
DAY 2 - Session 4 (04:15 PM - 06:00 PM)
1 Hr 45 Minutes
Population Structure & correlation
Population Structure & Correlation analyze genetic diversity and relationships within populations, correcting for stratification in GWAS.
DAY 3 - Session 1 (10:00 AM - 11:00 AM)
1 Hr 00 Minutes
Variant Calling & Filtering
Variant Calling & Filtering identifies genetic variations like SNPs and InDels from sequencing data & filtering ensures high-quality, reliable variants for studies.
DAY 3 - Session 2 (11:15 AM - 01:15 PM)
2 Hr 00 Minutes
Variant Annotation
Variant Annotation analyzes genetic variants to determine their biological impactaiding in disease research, functional genomics, and precision medicine.
DAY 3 - Session 3 (02:00 PM - 04:00 PM)
2 Hr 00 Minutes
Normality Testing, SNIP & Amputation
Normality tests assess distribution, SNP analysis identifies variants, and imputation predicts missing genotypes, enhancing statistical power in GWAS.
DAY 3 - Session 4 (04:15 PM - 06:00 PM)
1 Hr 45 Minutes
Population Structure & correlation
Population Structure & Correlation analyze genetic diversity and relationships within populations, correcting for stratification in GWAS.
DIFFERENT TYPES OF ANALYSIS COVERED IN THE COURSE
DIFFERENTIAL GENE EXPRESSION ANALYSIS
- Helps in discovering cancer-specific biomarkers for early detection and prognosis.
- Identifies oncogenes and tumor suppressor genes involved in cancer progression.
- Supports the development of targeted therapies based on gene expression profiles.
- Uses tools like DESeq2, edgeR, and Limma for statistical analysis of RNA-Seq data.
- Aids in classifying molecular subtypes of cancer based on gene expression patterns.
- Enables comparative analysis across different cancer types to identify shared and unique genetic drivers.
EPIGENETICS ANALYSIS
- Identifies DNA methylation patterns that distinguish normal and cancerous tissues.
- Explores histone modifications and their role in gene activation or repression.
- Helps in detecting epigenetic biomarkers for cancer diagnosis and prognosis.
- Examines how non-coding RNAs (miRNAs, lncRNAs) influence cancer progression.
- Aids in evaluating the effect of epigenetic drugs targeting DNA methylation and histone acetylation.
- Integrates with transcriptomic data to assess how epigenetic changes impact gene expression.
SURVIVAL ANALYSIS
- Identifies gene mutations and expression profiles linked to patient survival.
- Uses Kaplan-Meier curves and Cox regression models to analyze survival data.
- Helps in stratifying high-risk and low-risk patient groups based on genetic markers.
- Assesses the impact of immune signatures on cancer prognosis and treatment response.
- Guides the development of personalized medicine strategies by linking genomic data to clinical outcomes.
- Integrates multi-omics data (genomics, epigenomics, proteomics) to refine cancer prognosis models.
EXPECTED OUTCOMES FROM THE COURSE
Key Expected Outcomes: Unlocking Insights, Advancing Research, and Transforming Cancer Genomics with TCGA
Enhanced Genomic Data Interpretation
Gain the ability to analyze and interpret large-scale TCGA datasets for cancer research.
Expertise in Biomarker Discovery
Identify potential genetic and epigenetic biomarkers for cancer diagnosis, prognosis, and targeted therapies.
Proficiency in Multi-Omics Integration
Learn to combine genomic, transcriptomic, and epigenomic data for a comprehensive understanding of cancer biology.
Application of Advance Bioinformatics Tools
Develop hands-on experience with tools and pipelines for analyzing differential gene expression, mutations, and epigenetic changes.
Improved Research & Clinical Decision-Making
Translate genomic insights into actionable strategies for precision medicine and personalized cancer treatment.
Stronger Professional Network & Career Growth
Connect with experts, researchers, and industry leaders to advance your career in cancer genomics.
TAKE AWAY FROM THE COURSE
Preparatory Pre-Recorded Course
To guide you through some of the concepts required to be known by all the participants before joining the course so that everyone is on the same page when the training starts.
Participation Certificate
Industry Recognised Course completion certificate to showcase that you successfully completed the course and submitted all the assignments as well.
SESSION RECORDING
Once the training is concluded you will get access to our LMS portal where you can access all the recording of the process we performed during the session for use later.
Demo Session: APRIL 25-26, 2025; 10:00 AM IST Onwards
A Little About Your Coach
Having trained over 5,000 participants from diverse backgrounds—including researchers, clinicians, biologists, and data scientists—we have identified the most frequent pain points and misconceptions that hinder learning in this field. Many struggle with the overwhelming number of tools available, lack of structured guidance, and minimal troubleshooting experience. Recognizing these gaps, we took a step back to design a training program that not only teaches but also guides and empowers learners to become independent problem-solvers.
With 8+ years of hands-on experience, we have meticulously curated a robust 12-week training program that condenses the most crucial aspects of genome analysis into an easy-to-follow, practical, and results-driven learning experience. This program is more than just a course—it’s a comprehensive learning journey with a well-structured curriculum, hands-on exercises, and a strong support system to help participants navigate challenges seamlessly.
One of the biggest differentiators of our approach is the focus on troubleshooting rather than just tool usage. While many courses teach you how to run bioinformatics tools, very few equip you with the problem-solving mindset needed to overcome errors, optimize workflows, and interpret results effectively. Our program ensures that you not only learn what to do but also why and how to troubleshoot when things don’t go as expected.
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I am New to Bioinformatics, can i join the course?
Absolutely. The program is designed to help you understand from a fundamental level and build it up to advanced concepts.
Do I need to know coding?
Definitely not. As, we will be learning to code as a part of this course.
What else will I be learning in this course?
Apart from Genome Analysis, you will also be learning Ubuntu, Software tools Installation, R Packages Installation, Problem Solving, and managing deadlines – all of which will be very important for a successful career in Genomics.
Apart from this, our career coach will be training you in creating effective resumes, updating your LinkedIn profile to attract opportunities, and modern job-hunting strategies that can help you land a high-paying Bioinformatics job.
I know a few things included in the course, can i skip them?
No, in order to be eligible for getting the certificate you need to attend all the sessions.
Will I get a certificate?
Yes, you will receive an industry-recognised course completion certificate that you can proudly show to your friends and family. But you will need to attend all the sessions to receive the certificate.
Can I pay the registration fee in cash at the venue on day1?
No, All the registrations are required to be done in advance through online payment as we need to prepare your certificates and share the pre-workshop material with you. Hence, we do not allow SPOT Registrations and do not accept cash payments as well.