Registrations open to students and professionals (basic scientists, translational researchers, clinical researchers, genomicists, bioinformaticians, bio-statisticians, big-data scientists) from academia, clinical medicine, industry and governmental agencies.

Tentative Program

  • Topics :
    - TCGA evolution, architecture, data access policy and download, data organisation, access, practical tips, applications in multi-omics studies in cancer, quality aspects of experimental data, high-impact translational research that uses TCGA data, future directions of TCGA.
    - Indian cancer scenario, review of translational cancer research in India, Initiatives from government, academia and industry, need for TCGA-like resource in India
  • Modes of learnings : plenary talks, keynote lectures, panel discussions, interactive Q&A sessions, one-on-one interaction with faculty members.
  • Expert faculty from US, UK and India
  • Poster session for display of TCGA-themed research
  • Best poster awards
  • TCGA conference certificate
  • Applications open to students and professionals (basic scientists, translational researchers, clinical researchers, genomicists, bioinformaticians, bio-statisticians, big-data scientists) from academia, clinical medicine, industry and governmental agencies.
  • Workshop participation will be limited to only candidates pre-selected from applicant pool.
  • For details of workshop application, selection and registration process, please visit the workshop registration page.

Tentative Workshop Syllabus

Hands-on training sessions will be conducted by TCGA faculty on the following topics:

  • Orientation to TCGA data types, quality attributes, software, pipelines and annotations
  • Access to multi-omics TCGA data using Genomics Data Commons (GDC) data portal
  • Mining of TCGA data using web-based exploration tools (such as cBioPortal and FireBrowse)
  • Access and analysis of genomics, transcriptomics and epigenetics data using R packages
  • A walk through of online exploration tools (such as Tumor Map and Xena) to explore the results of high-throughput cancer genomics experiments
  • Key findings from Pan-Cancer Atlas
  • How to perform a TCGA-themed study and write a manuscript?