Single-Cell RNAseq Training Course 2018

**Click here for our Single-Cell RNASeq Training Course 2020 event**

What is the course about?

The course will provide an introduction to Single Cell Genomics. It covers several aspects such as the experimental design, cell sorting and processing for production of quality samples for sequencing, generation of sequencing data, assessing the quality of sequence data, data visualisation, differential expression analyses and identifying Copy Number Variants at the single cell level.

Laboratory practicals will produce real sequencing data. Provided the quality is high enough, delegates will have the opportunity to interpret the data that they have produced. All theory lectures and hands-on sessions will include best practices and tips as learned first-hand by EI's own faculty.

The course will consist of a mixture of conceptual lectures, methodological lectures and hands on sessions in both the laboratory and computational analyses, as well as ample time for group discussions. Participants will gain first-hand experience in generating two different libraries for sequencing, will understand how to assess data quality working with the assistance of the faculty, and in small groups troubleshooting small problems, and reviewing the results.
 

What will I Learn?

• Cell sorting, including introduction to different platforms at EI
• How to generate libraries for sequencing on the MiSeq (G&T-seq and Smart-seq2)
• Observe loading samples on the MiSeq
• Understand how to assess data quality and troubleshoot problematic samples
• Introduction and hands-on experience in available tools and resources for analysing single cell data and identifying cell types
• Understanding and experience in generating differential expression analyses
• Hands-on experience in identifying Copy Number Variants at the single cell level

Course Prerequisites

Laboratory session: Delegates are expected to be confident and competent in Good Laboratory Practice and with standard laboratory equipment.
Computational Session: A brief recap of LINUX commands will be given as part of the course, however participants will be expected to have a basic level of prior knowledge and experience. If no previous experience, it is recommended that you follow a tutorial such as the one here prior to attending the course.
 

Target Audience

Web lab researchers. Early career researchers (PhD and early career PostDocs). Those in the experimental planning stages of a project involving single-cell genomics.

Spaces available

For the hands-on single cell sample preparation sessions, 8-10 participants will be selected. For the imaging sessions, we anticipate around 20 participants. For the bioinformatics sessions we will select up to 25 participants. Please note, priority access to the bioinformatics sessions will be given to those also applying for the whole course, which includes the hands-on single cell laboratory sessions.