RegisterLogin

For questions or comments: (504) 267-7789 info@pine-biotech.com

T-BioInfo in EducationT-BioInfo in Education
  • Home
  • Courses
    • Introduction to Bioinformatics
    • Transcriptomics 1
    • Transcriptomics 2
    • Transcriptomics 3
    • Genomics 1
    • Metagenomics 1
    • Epigenetics 1
    • Course Collections
    EBOLA: Deadly Mutations

    EBOLA: Deadly Mutations

    Free
    Read More
  • Specializations
    • Oncology
    • Immunology
    • Virology
    • Neurology
    • Agrotechnology
  • Events
  • Projects
    • Crop drought stress and resistance
    • Targeted Medicine (Cancer Biomarkers)
    • Neurodegenerative: Alzheimer’s Disease
    • Analysis of the Changing Immune Response in Cancer
    • Patient Derived Xenograft Models
    • Modeling Precision Medicine
    • See More
    EBOLA: Deadly Mutations

    EBOLA: Deadly Mutations

    Free
    Read More
  • About Us
  • FAQs
  • Blog
  • Contact

    Transcriptomics 2

    • Home
    • All courses
    • Omics Data Analysis
    • Transcriptomics 2

    Congratulations!

    Transcriptomics 2

    Claudia Copeland
    (1 review)
    Free
    You can login now. Don't have an account? Click register now
    Transcriptomics-Course-Title2
    • Overview
    • Curriculum
    • Instructor
    • Reviews

    Transcriptomics 2

    Transcriptomics 2 is a continuation of the Transcriptomics 1 and it focuses on finding differences in gene expression. We will start with differential gene expression and continue to look at typical challenges that can be resolved using other methods. We will look at t-test, then use DESeq2 to run a differential gene expression pipeline and then use Factor Regression Analysis. As a result, you will learn to detect obvious differences between pre-set groups as well as expand that idea to more subtle differences represented by factors that might interact with each other.

    We will continue to use the PDX cancer project that was started in Course 1.

    Major Trends and Applications

    Next Generation Sequencing (NGS) and machine learning are key technologies enabling an unprecedented level of power, precision, and efficacy in understanding genomic regulation. Utilizing these tools will provide a more robust understanding of genetic diseases, expression profiles. The application of NGS data has applications outside of medicine as well, such as in agrotechnology. NGS utilized in Agrotech can help provide more information about insects and climate change.

    Course objectives and methodology

    The goal of this course is to further expose interested individuals to the field of big-data analysis to biologists and clinicians who currently lack the ability to work with this large scale of data, and further develop the analytical skills gained from Transcriptomics 1.

    To perform the example analysis detailed in the course, students will need access to the T-BioInfo platform. Account information can be requested in an email to info@pine-biotech.com. Microsoft Excel is also used for some basic analysis of pipeline results.

    We realize that the backgrounds of people interested in this course will be diverse, we want to provide sufficient background for the hands-on exercises that are included in these course. For the exercises, we will be using the T-BioInfo platform that hides the complexity of code and algorithms behind an intuitive visual interface. This part of the course will be dedicated to a detailed description of the analysis steps that are combined into pipelines on the platform. As a result, participants will gain independence and will be able to analyze their own data.

    Our courses are designed to be accessible to diverse audiences, so we are limiting the number of technical concepts that some might find useful. Additional technical terminology and expanded review can be found on other websites that we will provide links to for additional reading.

    We would like to thank the following people who helped to prepare the projects, develop the tools, and compile the the learning resources for this course:

    Dr. Leonid Brodsky and the Tauber Bioinformatics Research Center, Dr. Claudia Copeland, Dr. Ron Ferrucci, Julia Panov, Jaclyn Williams

    Course Features

    • Lectures 5
    • Quizzes 1
    • Duration 6 hours
    • Skill level All levels
    • Language English
    • Students 337
    • Certificate Yes
    • Assessments Yes
    CoursesOmics Data AnalysisTranscriptomics 2
    • Differential Expression 6

      • Lecture1.1
        Assessing Differential Expression Using T-tests 30 min
      • Lecture1.2
        Differential Expression Pipeline 30 min
      • Lecture1.3
        Differential Expression Practice 30 min
      • Lecture1.4
        Factor Regression Analysis 30 min
      • Lecture1.5
        Some Complications 30 min
      • Quiz1.1
        Transcriptomics 2 Quiz 1 19 questions
    Claudia Copeland
    Dr. Copeland has a Ph.D. in molecular and cellular biology (Tulane University) and experience in both computational biology research and scientific writing, including educational writing in biology, chemistry, and bioinformatics. She enjoys teaching and communication of complex scientific topics to general audiences.

    Reviews

    Average Rating

    5
    1 rating

    Detailed Rating

    5 Star
    100%
    4 Star
    0%
    3 Star
    0%
    2 Star
    0%
    1 Star
    0%
    • Admin bar avatar

      alex

      Great course!

      I fully recommend this course!

    • Overview
    • Curriculum
    • Instructor
    • Reviews
    Free
    • Share:

    You May Like

    Transcriptomics 3 Read More
    Julia Panov

    Transcriptomics 3

    231
    0
    Free
    Metagenomics Read More
    Claudia Copeland

    Metagenomics

    765
    0
    Free
    Genomics 1 Read More
    Jack LeBien

    Genomics 1

    732
    1
    Free
    Introduction to Bioinformatics Read More
    Claudia Copeland

    Introduction to Bioinformatics

    1347
    8
    Free

      1 Comment

    1. Ugo Nwachuku
      July 20, 2018
      Log in to Reply

      Great course!

    Leave A Reply Cancel reply

    You must be logged in to post a comment.

    Course Categories

    • Epigenomics
    • Microbiome
    • Omics Data Analysis
    • PDX
    • Project
    • RNA-Seq

    Popular Courses

    Transcriptomics 1

    Transcriptomics 1

    Free
    Introduction to Bioinformatics

    Introduction to Bioinformatics

    Free
    Metagenomics

    Metagenomics

    Free
    Genomics 1

    Genomics 1

    Free
    Introduction to Genomics

    Introduction to Genomics

    Free
    Transcriptomics 2

    Transcriptomics 2

    Free
    Transcriptomics 3

    Transcriptomics 3

    Free
    Analysis of the Changing Immune Response in Cancer

    Analysis of the Changing Immune Response in Cancer

    $45.00
    TBio-logo
    (504) 267-7789
    info@pine-biotech.com

    Company

    • About Us
    • Pine Biotech
    • TBRC
    • Contact

    Links

    • FAQs
    • Events

    Organizations

    • Grambling University
    • LBRN
    • Bioinformatics Training
    • Georgetown University

    Support

    • Forums
    • Workshops
    • OmicsLogic

    Copyright © 2017-18. Pine Biotech All Rights Reserved.

    Become an Instructor

    if you are a professor, industry expert or administrator, you can help us make this program work. These could be your students, potential hires, or colleagues.

    Get Started

    Connect with:

    Login with Facebook Login with Google Login with Twitter Login with LinkedIn

    Login with your site account

    Lost your password?

    Not a member yet? Register now

    Register

    Are you a member? Login now