OmicsLogic Genomics Training Program

Genomic Data Analysis is a 3-month program that will provide an in-depth overview of standard tools and data types used to study genomics datasets. Each week, participants will meet online to discuss various aspects of genomics analysis and interpretation and work on independent projects throughout this course. Read more about the program and important dates:

Upcoming Events

  1. 12
    Introduction to the program
    10:00 - 11:00

    Session will cover: 1. Overview of the tools and resources for this program ( courses, projects and datasets and the T-BioInfo Analytics Platform) 2. Expectations and...

  2. 24
    Processing of Genomic data
    11:00 - 12:00

    What is DNA, Variation, and Significance Next Generation Sequencing (WES, WGS, Targeted panels) Read length/quality, Mapping NGS data to a reference Genome

  3. 31
    DNA Variation
    11:00 - 12:00

    Germline variation Somatic mutations – reference and “normal” sample Non-point variations (CNV, chromosomal instability, rearrangements)

  4. 06
    Analysis of Variants
    11:00 - 12:00

    Accurate detection – the significance of coverage distribution Filtering – limiting the number of potentially significant variants  Statistical methods for significance, stratification

  5. 21
    Using Machine Learning for Genomic Data
    11:00 - 12:00

    Regression, factors, and features – Factor Regression Analysis Supervised Machine Learning (Classification, Discriminant Analysis) Mutational Profiling, Signatures, and biomarkers

  6. 28
    Preparing a project
    11:00 - 12:00

    Cancer studies (several examples) Development of treatment resistance (Tuberculosis) Case-control studies, GWAS (Breast Cancer Risk)

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Introduction to Genomics
Introduction to Bioinformatics

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