Online Workshop on:

7th to 11th April, 2025 (6-8 PM IST)
Register Now

Last date for registration: 5th April 2025

The last date has been extended to 5th April, 2025.

About Workshop

Over the past decade, computational methods in precision oncology have advanced significantly, leading to major discoveries that have driven the development of new therapeutics and diagnostics. This progress is largely due to the surge in multi-omics data generated by advancements in sequencing technologies and their reduced costs. Understanding these methods is essential for analyzing large volumes of multi-omics oncology data. This workshop is designed with these objectives in mind. It aims to provide insights into advanced computational approaches in oncology and precision medicine, offering participants a unique opportunity to learn about cutting-edge tools and methods. The workshop will feature expert computational scientists from renowned institutions, sharing their empirical knowledge with participants in the field of computational precision oncology.

At the end of successful completion of the workshop, participants will be provided certificates from CCE, IIT Hyderabad. Seats are limited, so early registration is recommended.

Workshop Topics

๐Ÿงฌ

Multi-omics Approaches in Precision Oncology

Multi-omics Approaches

Learn integrative analysis techniques for comprehensive cancer profiling across different data types.

๐Ÿ”ฌ

Somatic Mutation and Copy Number Variation Calling

Somatic Mutations & CNVs

Discover techniques for accurate detection and interpretation of cancer-specific genetic alterations.

๐Ÿ“ˆ

Identification of Tumor subtypes Using Clustering Methods

Tumor Subtypes & Clustering

Explore algorithms to classify tumors into meaningful subtypes for personalized treatment strategies.

๐Ÿ”—

Network based approach for biomarkers and therapeutic targets

Network-Based Approaches

Learn to identify potential cancer biomarkers and drug targets using network biology principles.

๐Ÿงช

Unraveling Biological Pathways Using Transcriptomic Data

Biological Pathway Analysis

Master techniques to decode molecular mechanisms from transcriptome data.

๐Ÿ“Š

Differential Gene Expression Analysis

Differential Expression Analysis

Learn methods to identify genes with significant expression changes between cancer and normal conditions.

๐Ÿงซ

Chimeric RNAs in Cancer Research

Chimeric RNAs

Understand the role of fusion transcripts in oncogenesis and their potential as biomarkers.

๐Ÿ”

Methods of Chimeric RNAs Identification

Chimeric RNA Identification

Explore computational approaches for detecting fusion transcripts from RNA-seq data.

Basic Prerequisites

๐Ÿง

Linux Experience

Familiarity with Linux operating system and command-line interface

โŒจ๏ธ

Programming Skills

Basic knowledge of Python and/or R programming languages

๐Ÿ’ป

Required Equipment

Laptop with required software installed (list will be provided)

Registration Fee

๐ŸŽ“
Students
โ‚น 5,000
๐Ÿ“š
Faculty & Postdoc. Fellows
โ‚น 8,000
๐Ÿ’ผ
Industry Professionals
โ‚น 10,000

Workshop Schedule

1
April 7th, 2025
Dr. Rahul Kumar
  • Overview of the workshop
  • Somatic Mutation and Copy Number Variation Calling
Session time: 6:00 PM - 8:00 PM IST
2
April 8th, 2025
Dr. Sandeep Kumar Dhanda
  • Multi-omics Approaches in Precision Oncology
  • Identification of Tumor subtypes Using Clustering Methods
Session time: 6:00 PM - 8:00 PM IST
3
April 9th, 2025
Dr. Sherry Bhalla
  • Unraveling Biological Pathways Using Transcriptomic Data Analysis
  • Differential Gene Expression Analysis Using Transcriptomic Data
Session time: 6:00 PM - 8:00 PM IST
4
April 10th, 2025
Dr. Sandeep Singh
  • Chimeric RNAs in Cancer Research
  • Methods of Chimeric RNAs Identification
Session time: 6:00 PM - 8:00 PM IST
5
April 11th, 2025
Dr. Piyush Agrawal
  • Network based approach for identifying biomarkers and new therapeutic targets
Session time: 6:00 PM - 8:00 PM IST

Contact Us

Dr. Rahul Kumar

Assistant Professor

IIT Hyderabad

Ready to join our workshop?

Register Now

Last date for registration: 31st March 2025