Dear all,

We are excited to announce two upcoming online courses designed to advance your expertise in bioinformatics:

1. Introduction to Long-read Bioinformatics

• Dates: 28 April – 1 May 2025​

• Time: 10:00 AM – 3:00 PM BST (including a 1-hour lunch break)​

• Venue: Online 

• Registration Fee:

  • £371 – University of Edinburgh staff/students​

  • £390 – Other university or registered charity staff/students​

  • £408 – Industry staff​

This course offers a comprehensive introduction to long-read sequencing technologies, focusing on Oxford Nanopore and PacBio platforms. Participants will engage in hands-on tutorials covering data pre-processing, genome assembly, structural variant detection, and base modification analysis. 

2. Metabarcoding and Metagenomics

• Dates: 6–9 May 2025​

• Time: 10:00 AM – 3:30 PM BST (including a 1-hour lunch break)​

• Venue: Online​

• Registration Fee:

  • £390 – University of Edinburgh staff/students​

  • £410 – Other university or registered charity staff/students​

  • £428 – Industry staff​

This course delves into the principles of metabarcoding and metagenomics, providing practical experience with both short and long-read data analysis. Participants will learn to use tools such as Qiime2, NanoClust, MetaPhlAn, HUMAnN, MEGAHIT, CheckM, and GTDB-Tk for taxonomic and functional annotation, as well as metagenome-assembled genome creation. 

Registration Details:

Each course is limited to 20 participants. To secure your place, please register at the links below:​

• Introduction to Long-read Bioinformatics: Register Here​

• Metabarcoding and Metagenomics: Register Here​

  
  

Upon registration, our finance team will contact you to arrange payment. Your place will be confirmed once payment is received.​

For further information, please contact our training team at egtrain@ed.ac.uk.

Best regards,

Dr Kathryn Campbell

Genomics and Bioinformatics Training Coordinator - Edinburgh Genomics

School of Biological Sciences
University of Edinburgh

Email: kcampb2@ed.ac.uk

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