Bioinformatics for Precision Oncology

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 conduct research with bioinformatics and contribute to precision oncology. The topics we will cover include:

  • Next-Generation Sequencing - Genomics (DNA Variants and Mutations)
  • Next-Generation Sequencing - Transcriptomics (differential gene expression, factor regression analysis)
  • Interpretation (database annotation, gene ontologies and pathways)
  • Datasources for genomic and transcriptomic data and annotation databases (NCBI, TCGA, NCI, COSMIC)

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
45 Days

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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 conduct research with bioinformatics and contribute to precision oncology. The topics we will cover include:
  • Next-Generation Sequencing - Genomics (DNA Variants and Mutations)
  • Next-Generation Sequencing - Transcriptomics (differential gene expression, factor regression analysis)
  • Interpretation (database annotation, gene ontologies and pathways)
  • Datasources for genomic and transcriptomic data and annotation databases (NCBI, TCGA, NCI, COSMIC)
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.
Epigenetics 3
Epigenetics 2
Epigenetics 1
Analysis of the Changing Immune Response in Cancer
Patient Derived Xenograft Models
Modeling Precision Medicine
Transcriptomics 4
Transcriptomics 3
Transcriptomics 2
Transcriptomics 1
Genomics 2
Genomics 1
Introduction to Genomics
Introduction to Bioinformatics

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