OmicsLogic Program at the Institute of Genetic Engineering (IGE)

The OmicsLogic programs were designed to quickly introduce complex bioinformatics topics and relevant research projects to help develop understanding while avoiding the complexities of coding. The topics are explored in a project setting that combines insight into the typical problems addressed by a bioinformatician and exposure to the analysis logic, highlighted by our unique online research and learning environment, the T-BioInfo platform

 

Upcoming Events

  1. 03
    September
    Induction to OmicsLogic
    -
    Institute of Genetic Engineering

    Introduction to OmicsLogic Program at the Institute of Genetic Engineering (IGE) Mohit Mazumder & Pratim Chakraborty, Sep 3, 2019 Workshop I Introduction and commencement...

  2. 03
    September
    Introduction to OmicsLogic Program
    -
    Institute of Genetic Engineering

    ntroduction to OmicsLogic Program at the Institute of Genetic Engineering (IGE) Mohit Mazumder & Pratim Chakraborty, Sep 3, 2019 Workshop I Introduction and commencement...

  3. 03
    September
    Introduction to OmicsLogic Program
    12:00 - 13:00
    Institute of Genetic Engineering

    Introduction to OmicsLogic Program at the Institute of Genetic Engineering (IGE) Mohit Mazumder & Pratim Chakraborty, Sep 3, 2019 Workshop I Introduction and commencement...

  4. 06
    September
    Introduction to Big Data Bioinformatics
    12:00 - 13:00

    Introduction to multi-omics (Definitions) Knowledge-Driven vs. Data-Driven Discovery and Examples Applications of Bioinformatics in Agriculture, Neuroscience, Cancer Biology, Immunology, Defense and Healthcare

  5. 10
    September
    Introduction to Genomics
    12:00 - 13:00

    Cell, Nucleus and Chromosomes The DNA molecule and its structure Genome variations: A detailed understanding Targeted Sequencing, Whole Exome Sequencing and Whole Genome Sequencing...

  6. 17
    September
    Next Generation Sequencing: Transcriptomics
    12:00 - 13:00

    Processing Raw NGS Data (read mapping and quantification)   Analysis (differential gene expression, factor regression analysis)   Interpretation (Gene Ontologies and Gene Set Enrichment Analysis)

  7. 24
    September
    Transcriptomics 2
    12:00 - 13:00

    Filtering, removing noise and Normalization Techniques Exploring multi-dimensional data using PCA visualization Principal Components and variance – outliers, filtering, normalization

Fill out these fields!

×

Membership Level

Change level

$0.00 every 0

0
Metagenomics
Introduction to Metagenomics

Account Information

Already have an account? Login here