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ONLINE COURSE – Introduction to Single Cell Analysis (ISCA01) This course will be delivered live

2 December 2024 - 4 December 2024

£420.00
ONLINE COURSE – Introduction to Single Cell Analysis (ISCA01) This course will be delivered live

Event Date

Monday, December 2nd, 2024

COURSE FORMAT

This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential.

TIME ZONE

TIME ZONE – Central Standard Time – however all sessions will be recorded and made available allowing attendees from different time zones to follow.

About This Course

Take your RNA-Seq analysis to the next level with single cell RNA-Seq. This technology allows insights with an unpredicted level of detail, but that brings a new level of complexity to the data analysis. In this course, we will learn about the most popular single cell platforms, how to plan a scRNA-Seq experiment, deal with some of the many pitfalls when analysing your data, and effectively gain exciting, and cell type specific biological insights

By the end of the course participants should:

  • Understand the basic principles of popular single cell platforms and the pros and cons of the different technologies.
  • Be able run standard software to process raw 10x Genomics and Parse Bioscience data and interpret the outputs
  • Understand how to use the ‘Trailmaker’ to quickly analyse scRNA-Seq data.
  • Understand the basics of the R Bioconductor ‘Seurat’ package, and how to combine it with other tools.
  • Understand how to perform appropriate data quality control and filtering.
  • Understand how to cluster cells both within and between samples, and identify possible cell types of individual cells and clusters
  • Understand how to use statistically robust methods to compare gene expression between sample to identify cell type specific changes in gene expression and potential pathways of interest.
Intended Audiences

Academics, post-graduate students or biotech employees working on, or planning to work on any type of single cell RNA-Seq data.

Venue

Delivered Remotely

Course Details

Availability – 20

Duration – 2 days

Contact hours – Approx. 12 hours

ECT’s – Equal to 1 ECT’s

Language – English

Teaching Format

Mixture of lectures covering the theory, and practical sessions using the Linux command line and RStudio. Practical sessions are a mixture of demonstrations by the tutor and exercises to be completed independently. Data sets for computer practical sessions will be provided by the instructors, but participants are welcome to bring their own data.

Assumed quantitative knowledge

Participants should have a basic understanding of transcriptomics and molecular biology

Assumed computer background
COMING SOON…
Equipment and software requirements

Participants should have basic experience of R, RStudio and linux.

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PLEASE READ – CANCELLATION POLICY

Cancellations/refunds are accepted as long as the course materials have not been accessed,.

There is a 20% cancellation fee to cover administration and possible bank fess.

If you need to discuss cancelling please contact oliverhooker@prstatistics.com.

If you are unsure about course suitability, please get in touch by email to find out more oliverhooker@prstatistics.com

COURSE PROGRAMME

Day 1 Classes from 9:30 – 3:30

  • Basic principles of popular single cell platforms and the pros and cons of the different technologies.
  • Important considerations when planning a scRNA-Seq experiment.
  • Running standard software to process raw 10x Genomics and Parse Bioscience data and interpretate outputs to perform an initial assessment of data quality.
  • Sample and library preparation issues that may affect your data, and how these issues may be detected
  • Use of the ‘Trailmaker’ tool to perform further analysis without the need for programming skills.

Day 2 Classes from 9:30 – 3:30

  • Understand the basics of the R Bioconductor ‘Seurat’ package, and how to combine it with other tools.
  • Normalise data and cluster cells.
  • Predict cell types of individual cells.
  • Clean and filter your data in a manner appropriate for your particular sample and tissue type.

Day 3 Classes from 9:30 – 3:30

  • Integration of and co-clustering of cells from multiple samples.
  • Identification of cell type marker genes and annotation of clusters.
  • Use of statistically robust methods to compare gene expression between samples.
  • Identification cell type specific changes in gene expression and potential pathways of interest.
  • Discussion of participants individual projects (optional).

Course Instructor

EDINBURGH GENOMICS

Frances Turner
Frances Turner
Through my work as a bioinformatician at Edinburgh Genomics, I have many years experience of working with researchers from all areas of life sciences to help them get the most out of their high throughput sequencing data.
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This work ranges from bespoke data analysis and one-to-one training, to running popular courses covering a range of applications. My particular focus is on RNA-Seq, especially the exciting opportunities offered by long read and single-cell transcriptomics.
Heleen De Weerd
Heleen De Weerd
Heleen de Weerd has been a bioinformatician since 2010, accumulating experience in both industry and academia and working with people from different backgrounds.
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Her expertise spans a wide array of topics with a special interest in genomic and the analysis of highly diverse samples. Since joining Edinburgh Genomics, Heleen has focused on advancements in both short and long reads technologies and application of both to different research questions. She is passionate about sharing her experiences and helping people start their journeys with their data.
Dr Kathryn Campbell
Dr Kathryn Campbell

Kathryn recently joined the Edinburgh Genomics team as the Genomics and Bioinformatics Training Coordinator. With a diverse background in bioinformatics and molecular biology, she specializes in phylogenetics and viral classification.

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Her passion now lies in teaching and outreach, where she brings extensive experience, engaging with a broad range of audiences. Kathryn is dedicated to empowering learners through comprehensive training, from sample preparation and sequencing to data analysis and interpretation. She is also committed to inspiring the next generation of biologists by working with primary and secondary schools to foster a love for science and genomics.

Details

Start:
2 December 2024
End:
4 December 2024
Cost:
£420.00
Event Categories:
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Tickets

The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities.
Tickets are no longer available