Course: ANALYSIS OF RNA SEQUENCING DATA WITH R/BIOCONDUCTOR

Physalia86 commented 2 years ago

Type

Online Course: ANALYSIS OF RNA SEQUENCING DATA WITH R/BIOCONDUCTOR -November 7-18

Description

OVERVIEW This course will provide biologists and bioinformaticians with practical statistical analysis skills to perform rigorous analysis of high-throughput genomic data. The course assumes basic familiarity with genomics and with R programming, but does not assume prior statistical training. It covers the statistical concepts necessary to analyze genomic and transcriptomic high-throughput data generated by next-generation sequencing, including: hypothesis testing, data visualization, genomic region analysis, differential expression analysis, and gene set analysis.

PREPARATION

Come to the first class with the following installed:

● R and Bioconductor: www.bioconductor.org/install

● R Studio: https://www.rstudio.com/products/rstudio/download3/ TEXTBOOK

● Modern Statistics for Modern Biology (by Holmes and Huber)

● The Bioconductor 2018 Workshop collection

PROGRAM

** Session 1 – Introduction (Mon, Nov 07, 3-6 PM, Berlin time)

Introduction to R / RStudio
Creating high-quality graphics in R

** Session 2 – Hypothesis testing (Wed, Nov 09, 3-6 PM, Berlin time)

CDF, p-value, binomial test
types of error, t-test, permutation test

** Session 3 - Bioconductor (Fri, Nov 11, 3-6 PM, Berlin time)

Introduction to Bioconductor
Working with genomic region data in Bioconductor (GenomicRanges)

** Session 4 - RNA-seq data analysis (Mon, Nov 14, 3-6 PM, Berlin time)

Characteristics of RNA-seq data
Storing and analyzing RNA-seq data in Bioconductor (SummarizedExperiment)

** Session 5 - Differential expression analysis (Wed, Nov 16, 3-6 PM, Berlin time)

Multiple hypothesis testing
Performing differential expression analysis with DESeq2

** Session 6 - Gene set analysis (Fri, Nov 18, 3-6 PM, Berlin time)

A primer on terminology, existing methods & statistical theory
GO/KEGG overrepresentation analysis
Functional class scoring & permutation testing

Location

Due to the COVID-19 outbreak, this course will be held online

Website

https://www.physalia-courses.org/courses-workshops/course19/

Start date and time

November 7th, 2022

End date and time

November 18th, 2022

Time zone

3-6 PM, CET

Contact Details

Info@physalia-courses.org

Registration details (if applicable)

https://www.physalia-courses.org/courses-workshops/course19/

Sponsor or Organization

Physalia-courses

Comment field

No response

Checklist

[X] This event has a Bioconductor focus or interest to Bioconductor users/developers.
[X] The event organizer read and confirmed the Bioconductor Code of Conduct.
[X] The event has the Code of Conduct (CoC) derived from the partner organization or the Bioconductor Code of Conduct.
[X] The event organizer have the shorter version (summary) of the CoC.

kozo2 commented 2 years ago

@Physalia86 Thank you for sharing the event information. We will contact you again as soon as we can add this event to http://bioconductor.org/help/events/ .

kozo2 commented 2 years ago

@Physalia86 I added your event to the Bioconductor event calendar. https://bioconductor.org/help/events/ I would appreciate it if you could check if it's okay. If you have any problems, please feel free to reply.

In addition to the above, I have sent an update request to the official website as below, but it has not been updated yet. https://github.com/Bioconductor/bioconductor.org/pull/158 I'll contact you again when it's updated, but I'll close this issue for now.

kozo2 commented 2 years ago

@Physalia86 Your event is now displayed not only on the calendar but also on the website.

Thank you for sharing your event information.

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