Bioinformatics for Precision Oncology

Precision medicine is changing the way we understand, diagnose and treat cancer. The transformation is driven by high-throughput molecular data from patients, animal models, and large-scale experiments. In this program, we will explore how the various -omics data types can be analyzed to understand the basic biology associated with cancer onset, development, and outcomes and see how large-scale clinical trials and experiments provide an opportunity to improve precision oncology. More about the program and the schedule is found here: https://edu.t-bio.info/bioinformatics-training-precision-oncology/

Upcoming Events

  1. 10
    June
    Introduction to Precision Oncology
    -
    Online

    Cancer biology challenges (organs, tissues, cells) Molecular factors in tumor development, growth and metastasis  Clinical and Molecular Data (phenotype-genotype relationship)  Associated online course/resource: https://www.ncbi.nlm.nih.gov/books/NBK20362/

  2. 20
    June
    Introduction to Big Data Bioinformatics
    -
    Online

    From Hypothesis Testing to Data Mining  Statistics and Algorithms  T-BioInfo Platform and relevant analysis methods  Associated online course/resource: Introduction to Bioinformatics 

  3. 01
    July
    Next Generation Sequencing – Genomics (DNA Variants and Mutations)
    -
    Online

    Processing (germline and somatic mutations)  Analysis (mapping, detecting variants)  Interpretation (significant and insignificant mutations, etc.) Associated online course/resource: Transcriptomics 1

  4. 22
    July
    Data sources for raw data and databases
    -
    Online

    NCBI (cell lines, animal models) TCGA (patient cohorts) NCI, COSMIC (databases of mutations and interactions

  5. 01
    August
    Project Design and proposal
    -
    Online

    Scientific Inquiry and Translational Value  Example 1: Breast Cancer – classification of subtypes (cell lines)  Example 2: Liver Cancer – risks and molecular factors...

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Metagenomics
Introduction to Metagenomics

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