Quality Control in Sequencing Experiments (ONLINE LIVE TRAINING)

New

This course covers the potential pitfalls of short-read sequencing studies and provides options for visualisation and quality control (QC) for early detection and diagnosis of issues. You will gain an understanding of Illumina sequencing and different QC metrics that can be extracted from sequencing reads, such as base quality scores. The course also covers how QC metrics vary across different library types and thus distinguish between expected and unexpected QC results. You will be introduced to key software tools including FastQC, FastQ Screen, and MultiQC to carry out quality assessment of your sequencing data.

If you do not have a University of Cambridge Raven account please book or register your interest here.

• Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
• Attendance will be taken on all courses and a charge is applied for non-attendance, including for University of Cambridge students. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
• Further details regarding eligibility criteria are available here.

• Anyone who is using sequencing as part of their work and/or research.

Essential:

• A working knowledge of the UNIX command line (course registration page).
  • If you are not able to attend this prerequisite course, please work through our Unix command line materials ahead of the course (up to section 7).

Desirable:

• Basic understanding of high-throughput sequencing technologies.
  • Watch this iBiology video for an excellent overview.

Number of sessions: 1

Bioinformatics, Data visualisation, Data handing, Data mining, Quality Control, NGS, Illumina, Sequencing

During this course you will learn about:

• How Illumina sequencing works
• What QC metrics can tell you about the quality of your sequences
• How different library types affect QC metrics
• Key software packages for QC such as FastQC, FastQ Screen and Librarian

After this course you should be able to:

• Recognise the importance of quality control (QC) in sequencing experiments
• List different ways in which sequencing experiments may fail
• Implement sequencing QC using different software packages

Presentations, demonstrations and practicals

The timings for these sessions will be flexible depending on the pace of the class.

• Free for registered University of Cambridge students
• £ 60/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.
• £ 60/day for all other academic participants from external Institutions and charitable organizations. These charges must be paid at registration
• £ 120/day for all Industry participants. These charges must be paid at registration
• Further details regarding the charging policy are available here

0.5

• Introduction to R for Biologists (IN-PERSON)
• Analysis of bulk RNA-seq data (IN-PERSON)
• Analysis of DNA Methylation using Sequencing (IN-PERSON)
• Analysis of single cell RNA-seq data (IN-PERSON)