Sister Nivedita University Bioinformatics Training Program

Bioinformatics is a discipline that combines biology, statistics, and computer science. Data analysis skills are essential for modern biology and are at the core of scientific discovery. In this bioinformatics training program, we will explore bioinformatics concepts in a project setting, offering insights into the typical problems addressed by a bioinformatician and explaining the analysis logic. The program does not require any prerequisites, apart from basic biology concepts. The program will span for three months, comprising eleven workshops and one Team Project.

Upcoming Events

  1. 19
    July
    Introduction to OmicsLogic
    09:00 - 23:00
    Online

    Day 1 Introduction to OmicsLogic at Amity University, Kolkata: Mohit Mazumder & Pratim Chakraborty, July 19th, 2019 Introduction and commencement of the program by...

  2. 05
    August
    Transcriptomics
    -
    Online

    Day 1 Transcriptomics 2, Pratim Chakraborty, August 5th, 2019   Filtering, removing noise and Normalization Techniques Exploring multi-dimensional data using PCA visualization Principal Components...

  3. 22
    August
    Introduction to Bioinformatics
    20:00 - 21:00

    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

  4. 27
    August
    Genomics
    20:00 - 21:00
    Online

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

  5. 02
    September
    Machine Learning
    -
    Online

    Day 1 Introduction to Machine Learning, Mohit Mazumder, September 2nd, 2019 What is machine learning, categories of methods Regression, factors, and features – Factor...

  6. 05
    September
    Transcriptomics 2
    20:00 - 21:00

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

  7. 10
    September
    Workshop II
    20:00 - 21:00

    Role of Genomics and Transcriptomics in Modern Biology.

  8. 17
    September
    Metagenomics
    20:00 - 21:00
    Online

    What is Metagenomics and why study Metagenomics Microbiome and taxonomy The Gut Microbiota and Human Health NGS of the Metagenome and 16S metagenomic data...

  9. 17
    October
    Machine Learning
    20:00 - 21:00
    Online

    What is machine learning, categories of methods Regression, factors, and features – Factor Regression Analysis Challenges associated with different kinds of machine learning

  10. 22
    October
    Machine Learning 1
    20:00 - 21:00

    Decision Trees, Discriminant Analysis and Support Vector Machines, Feature Selection and expanding the list of features, Data Visualization

  11. 24
    October
    Planning a Bioinformatics project
    20:00 - 21:00
    Online

      Identifying the correct dataset(s) for your bioinformatics project   Input and output of the typical processing and analysis steps   Team Project selection...

  12. 25
    October
    Workshop III
    20:00 - 21:00

    Multi-Omics Data Analysis in Cancer Research

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Metagenomics
Introduction to Metagenomics

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