11 - 13 February 2020
Lausanne
Cancellation deadline:
28 January 2020
Paolo Angelino, Isabelle Dupanloup
Omics data analysis
Beginner
Academic: 180 CHF
For-profit: 900 CHF
0.75 ECTS credits


Next course(s):
23 - 25 Feb 2021 Streamed
19 - 21 Jan 2022 Streamed
08 - 10 May 2023 Streamed

The course is now full with a long waiting list. If you do not want to miss your chance to be part of the next session and remain informed about all training activities at SIB, we highly recommend you to keep an eye on our list of upcoming events (https://www.sib.swiss/training/upcoming-training-courses) and subscribe to our courses mailing list here (if not yet done): https://lists.sib.swiss/mailman/listinfo/courses. Thank you for your understanding.

Overview

This three-day course will provide an overview of the RNA-seq analysis pipeline, as well as the downstream analysis of the resulting data using bioconductor packages in R. The course will cover the following topics:

  • The structure of an RNAseq analysis pipeline:
    • Raw data quality check;
    • RNAseq reads alignment;
    • Gene Expression level quantification and normalization by reads counting;
    • De novo Transcripts reconstruction and differential splicing.
  • Overview of downstream analysis
    • Differential Expression analysis with R/Bioconductor packages;
    • Class discovery: usage of Principal Component Analysis, Clustering, Heatmaps, Gene Set Enrichment Analysis in RNA-seq analysis.

Next Generation Sequencing (NGS) techniques will not be covered in this course; experimental design as well as the statistical methods will not be detailed in this course.

Audience

Life scientists who are new in the RNA-seq data field but have some R and statistical knowledge.

Prerequisites

Knowledge / competencies

  • Participants should already have a basic knowledge of Next Generation Sequencing (NGS) techniques; this course will discuss only the data analysis steps and not the data generation.
  • A basic knowledge in statistics is required. Participants should know about p-values, student T-test, multiple testing correction and classification, PCA.
  • A basic knowledge of R is also required. Participants should know how to read files, run PCA, do classification, visualise heatmaps using R command lines (http://www.r-project.org/).

Technical

Participants should bring their laptop with the latest version of R and Bioconductor installed.

Learning objectives

At the end of the course, participants will be able to:

  • run a RNA-seq pipeline on a small dataset composed of two groups;
  • describe an RNA-seq experimental design;
  • describe pseudo-alignments and alignment software;
  • estimate data quality;
  • normalise counts;
  • know and understand the essential steps of a simple gene expression analysis issued from RNA sequencing;
  • manipulate gene expression matrices and differential expression tables;
  • perform a differential expression analysis based on R/Bioconductor packages (DeSeq2, ...).

Schedule

DAY1
9:00 - 10:30 - Introduction to RNA sequencing
10:30 - 10:45 - Coffee Break
10:45 - 12:30 - RNAseq analysis pipeline, part I
12:30 - 13:30 - Lunch Break
13:30 - 15:00 - RNAseq analysis pipeline, part II
15:00 - 15:15 - Coffee break
15:15 - 17:00 - Practicals

DAY2
9:00 - 10:30 - Differential Expression analysis
10:30 - 10:45 - Coffee Break
10:45 - 12:30 - Differential splicing
12:30 - 13:30 - Lunch Break
13:30 - 15:00 - Practicals
15:00 - 15:15 - Coffee break
15:15 - 17:00 – Practicals

DAY3
9:00 - 10:30 - Differential Expression analysis with DESEQ2
10:30 - 10:45 - Coffee Break
10:45 - 12:30 - Downstream analysis
12:30 - 13:30 - Lunch Break
13:30 - 15:00 - Practicals
15:00 - 15:15 - Coffee break
15:15 - 17:00 - Practicals

Application

The course is now full with a long waiting list. If you do not want to miss your chance to be part of the next session and remain informed about all training activities at SIB, we highly recommend you to keep an eye on our list of upcoming events (https://www.sib.swiss/training/upcoming-training-courses) and subscribe to our courses mailing list here (if not yet done): https://lists.sib.swiss/mailman/listinfo/courses .Thank you for your understanding.

Registration fees are 180 CHF for academics and 900 CHF for for-profit companies. This includes course content material and coffee breaks.

Deadline for free-of-charge cancellation is set to 28 January. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to this and other general conditions, available here.

You will be informed by email of your registration confirmation, and you will be asked to complete the payment of the registration fees within 5 days.

Venue and Time

University of Lausanne, Amphipôle Building (Metro M1 line, Sorge station), interactive map.

The course will start at 9:00 and end around 17:00. Precise information will be provided to the participants on due time.

Additional information

Coordination: Patricia Palagi, SIB Training Group.

We will recommend 0.75 ECTS credits for this course (given a passed exam at the end of the course).

You are welcome to register to the SIB courses mailing-list to be informed of all future courses and workshops, as well as all important deadlines using the form here.

For more information, please contact training@sib.swiss.