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Fri 18 Nov, Fri 25 Nov, Fri 2 Dec 2022
09:30 - 17:30

Venue: Bioinformatics Training Facility - Online LIVE Training (Time Zone = BST (GMT+1) in Summer, GMT in Winter)

Provided by: Bioinformatics


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Fri 17 Mar 2023


Fri 23 Jun 2023


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Analysis of bulk RNA-seq data (ONLINE LIVE TRAINING)
Prerequisites

Fri 18 Nov, Fri 25 Nov, Fri 2 Dec 2022

Description

The aim of this course is to familiarize the participants with the primary analysis of RNA-seq data.

This course starts with a brief introduction to RNA-seq and discusses quality control issues. Next, we will present the alignment step, quantification of expression and differential expression analysis. For downstream analysis we will focus on tools available through the Bioconductor project for manipulating and analysing bulk RNA-seq.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

Target audience
  • Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
  • Please be aware that these courses are only free for registered University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here.
  • Further details regarding eligibility criteria are available here
Prerequisites
Sessions

Number of sessions: 3

# Date Time Venue Trainers
1 Fri 18 Nov 2022   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Facility - Online LIVE Training (Time Zone = BST (GMT+1) in Summer, GMT in Winter) Chandra Chilamakuri,  Dr A. Edwards,  Ashley Sawle,  Raquel Manzano-Garcia,  Sina Beier,  Jiayin Hong,  CRUK Training Programme
2 Fri 25 Nov 2022   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Facility - Online LIVE Training (Time Zone = BST (GMT+1) in Summer, GMT in Winter) Chandra Chilamakuri,  Dr A. Edwards,  Hugo Tavares,  Raquel Manzano-Garcia,  Sina Beier,  Jiayin Hong
3 Fri 2 Dec 2022   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Facility - Online LIVE Training (Time Zone = BST (GMT+1) in Summer, GMT in Winter) Chandra Chilamakuri,  Dr A. Edwards,  Hugo Tavares,  Sina Beier,  Jiayin Hong
Topics covered

Bioinformatics, Functional genomics, Data visualisation, Transcriptomics, Data handing, Data mining, RNA-seq

Objectives

After this course you should be able to:

  • Design your RNA-Seq experiments properly, considering advantages and limitations of RNA-seq assays
  • Assess the quality of your datasets
  • Perform alignment and quantification of expression through different tools and pipelines
  • Know what tools are available in Bioconductor for RNA-seq data analysis and understand the basic object types that are utilised
  • Produce a list of differentially expressed genes from an RNA-seq experiment
Aims

During this course you will learn about:

  • RNA sequencing technology and considerations on experimental design
  • Quality control of raw and aligned sequencing reads: FASTQC and Picard
  • Read alignment to a reference genome: Hisat2
  • Extract information from SAM/BAM files: samtools
  • Sources of variation in RNA-seq data
  • Differential expression analysis usingDEseq
  • Annotation resources in Bioconductor
  • Identifying over-represented gene sets among a list of differentially expressed genes
Format

Presentations, demonstrations and practicals

Timetable

Day 1 Topics
Session 1 Introduction to RNA-seq methods
Session 2 Raw read file format and QC
Session 3 Short read alignment with HISAT2
Session 4 QC of alignment
Session 5 Quantification of Gene Expression with Salmon
Day 2 Topics
Session 1 Introduction to RNA-seq Analysis in R
Session 2 Exploratory Analysis of RNA-seq data
Session 3 Statistical Analysis of bulk RNA-seq data
Session 4 Differential Expression for RNA-seq
Day 3 Topics
Session 1 Differential Expression for RNA-seq (continued)
Session 2 Annotation and Visualisation of RNA-seq results
Session 3 Gene-set testing
Registration fees
  • Free for registered University of Cambridge students
  • £ 50/day for all University of Cambridge staff, including postdocs, temporary visitors (students and researchers) and participants from Affiliated Institutions. Please note that these charges are recovered by us at the Institutional level
  • It remains the participant's responsibility to acquire prior approval from the relevant group leader, line manager or budget holder to attend the course. It is requested that people booking only do so with the agreement of the relevant party as costs will be charged back to your Lab Head or Group Supervisor.
  • £ 50/day for all other academic participants from external Institutions and charitable organizations. These charges must be paid at registration
  • £ 100/day for all Industry participants. These charges must be paid at registration
  • Further details regarding the charging policy are available here
Duration

3

Frequency

Several times per year

Related courses
Theme
Specialised Training

Booking / availability