LBRN Transcriptomics

Spring Session Graduate Course on Transcriptomic Data Analysis: Applied Bioinformatics Concepts for Life Science Research led by Dr. Gus Kousoulas, Dr. Ramesh Subramania, Dr. Lyndon Coghill, Chris Taylor, and Urska Svek. In this course, we will explore how gene expression can be studied using high throughput sequencing data, leveraging principles of bioinformatics. The course will cover essential steps of processing, analysis and interpretation of such data using commercial solutions for high performance computing (T-BioInfo) and open source applications (R).

This program is a collaborative effort between LBRN, BioMMED and Pine Biotech.

Upcoming Events

  1. 13
    January
    Welcome
    15:00 - 17:00
    SVM room 3511

    Program start. Optional review of Intro to Bioinformatics

  2. 16
    January
    Introduction to Program
    15:00 - 17:00
    SVM room 3511

    Program overview, goals and structure. Transcriptomics 1, part 1

  3. 30
    January
    Processing NGS Data
    15:00 - 17:00
    SVM room 3511

    Raw data pre-processing, mapping, quantification. Transcriptomics 1, part 2

  4. 06
    February
    Statistical Analysis 1
    15:00 - 17:00
    SVM room 3511

    Statistical tests, Differential Gene Expression. Transcriptomics 2, part 1

  5. 20
    February
    Statistical Analysis 2
    15:00 - 17:00
    SVM room 3511

    Correlation, Analysis of Variance and Factor Regression Analysis. Transcriptomics 2, part 2

  6. 27
    February
    Data Science for High Throughput Data
    15:00 - 17:00
    SVM room 3511

    Principles of data-driven thinking. Transcriptomics 3

  7. 05
    March
    Exploratory Analysis and Visualization
    15:00 - 17:00
    SVM room 3511

    Dimensionality Reduction. Transcriptomics 3

  8. 26
    March
    Biological Interpretation
    15:00 - 17:00
    SVM room 3511

    Gene Ontologies, functional annotation and pathways. Transcriptomics 3

  9. 09
    April
    Gene Set Enrichment Analysis
    15:00 - 17:00
    SVM room 3511

    Differential Pathway enrichment. Transcriptomics 3

  10. 16
    April
    Basic Programming for Bioinformatics
    15:00 - 17:00
    SVM room 3511

    Working with files and tables in bash and R. PCA: biomedical data visualization in R

  11. 29
    April
    Final Exam
    15:00 - 17:00
    SVM room 3511

    Optional: Transcriptomics 4, single-cell transcriptomics

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