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.

Upcoming Events

  1. 09
    March
    Introduction to Oncology
    09:30 - 10:30
    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. 12
    March
    Introduction to Big Data Bioinformatics
    09:30 - 10:30
    Online

    From Hypothesis Testing to Data Mining  Statistics and Algorithms  T-BioInfo Platform and relevant analysis methods

  3. 16
    March
    Next Generation Sequencing – Genomics (DNA Variants and Mutations)
    09:30 - 10:30
    Online

    Processing (germline and somatic mutations)  Analysis (mapping, detecting variants) Interpretation (significant and insignificant mutations, etc.)

  4. 19
    March
    Processing (mapping, quantification)
    09:30 - 10:30
    Online

    With and without pre-processing Bowtie 2t and bowtie 2g Quantification Normalization

  5. 23
    March
    Analysis (differential gene expression, factor regression analysis)
    09:30 - 10:30
    Online

    PCA T-Test and DIff. Expression Regression and Factor Analysis

  6. 26
    March
  7. 30
    March
    NCBI (cell lines, animal models)
    09:30 - 10:30
    Online

  8. 02
    April
    TCGA (patient cohorts)
    09:30 - 10:30
    Online

  9. 06
    April
  10. 09
    April
  11. 13
    April
  12. 16
    April

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Program License

Change level
Bioinformatics for Precision Oncology
$135.00
82 Days

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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.
Analysis of the Changing Immune Response in Cancer
Patient Derived Xenograft Models
Modeling Precision Medicine
Transcriptomics 3
Transcriptomics 2
Transcriptomics 1
Genomics 2
Genomics 1

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