Introduction to Bioinformatics

With the decreasing cost of NGS and the increasingly broad range of applications, this technology has transformed biomedical research, the biotech industry, and now is increasingly becoming popular in clinical use. NGS applications are used for the identification of germline and somatic pathogenic variants, measurement of gene expression, detection of methylation patterns on DNA and even studies of microbial communities on human skin, in the gut, lungs, and other organs.  Introduction to Bioinformatics for Biologists is a program organized by Pine Biotech, USA. This online program is designed for everyone including students who don't have a background in Bioinformatics. biologists to learn about the NGS data analysis processing sections: Genomics, Transcriptomics for analyzing and interpreting the Omics data & machine learning techniques. We will also learn about public repositories to understand the various file formats and their application in biological research. The analysis will be concluded by annotation, visualization, and interpretation of the results.

Upcoming Events

  1. 13
    October
    Bioinformatics and Big Data: Concepts and applications
    09:00 - 10:00
    Online

    Overview of analytical and theoretical resources for the program: T-BioInfo: an intuitive and user-friendly interface for analysis of big data: NGS genomics and transcriptomics,...

  2. 15
    October
    Introduction to Genomics: DNA Variants and Mutations
    09:00 - 10:00
    Online

    Introduction to Next generation Sequencing: shotgun sequencing reads, the need for structured data and associated bioinformatics methods: processing (germline and somatic mutations), analysis (mapping,...

  3. 20
    October
    Introduction to Transcriptomics: Gene Expression data analysis
    09:00 - 10:00
    Online

    How we can measure functional proteins by the way of mRNA abundance and accurate identification of alternative splicing: an overview of RNA-seq, read quality...

  4. 22
    October
    Introduction to BioML ( Statistical analysis and Machine Learning)
    09:00 - 10:00
    Online

    Using statistical approaches to study processing pipeline outputs, perform exploratory data analysis, hypothesis testing, data mining and classification.

  5. 27
    October
    NGS Data analysis in Python & R
    09:00 - 10:00
    Online

    Methods on NGS comparative data analysis, association and visualization of complex and high dimensional data using the T-BioInfo platform and R studio and Python.

  6. 29
    October
    BioProjects
    09:00 - 10:00
    Online

    Planning your project proposal, how to present your scientific data and   hypothesis, Q&A sessions, Audio & Video Presentation, Case Studies & Publications, Datasets.

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Introduction to Bioinformatics
$70.00
22 Days

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With the decreasing cost of NGS and the increasingly broad range of applications, this technology has transformed biomedical research, the biotech industry, and now is increasingly becoming popular in clinical use. NGS applications are used for the identification of germline and somatic pathogenic variants, measurement of gene expression, detection of methylation patterns on DNA and even studies of microbial communities on human skin, in the gut, lungs, and other organs.  Introduction to Bioinformatics for Biologists is a program organized by Pine Biotech, USA. This online program is designed for everyone including students who don't have a background in Bioinformatics. biologists to learn about the NGS data analysis processing sections: Genomics, Transcriptomics for analyzing and interpreting the Omics data & machine learning techniques. We will also learn about public repositories to understand the various file formats and their application in biological research. The analysis will be concluded by annotation, visualization, and interpretation of the results.
PCA: biomedical data visualization in R
Spodoptera frugiperda (fall armyworm)
Epigenetics 1
Machine Learning for Biomedical Data
Metagenomics
Introduction to Metagenomics
Analysis of the Changing Immune Response in Cancer
Modeling Precision Medicine
Transcriptomics 4
Transcriptomics 3
Transcriptomics 2
Transcriptomics 1
Genomics 1
Introduction to Genomics
Introduction to Bioinformatics

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