Past events

Tackling urgent global challenges through pioneering research

This course provides an introduction to single-cell genomics, for researchers who have basic experience of bioinformatics and who are planning a single-cell project.

Providing an opportunity for colleagues across the Norwich Research Park to engage with peers, and find out about the research that happens from PhD Students at the Earlham Institute.

How to manage biological data and use computational methods to power life science research

This Advanced level workshop is ideal for researchers and technical workers with a background in biology and a basic knowledge of Python, to develop bigger or more complicated programs and increase skills and knowledge about the language, including object-oriented approaches to programming.

FULLY BOOKED - This 3-day course will help to provide scientists with an overview of eukaryotic genome annotation approaches, covering advances in Next Generation Sequencing (NGS) technologies, transcriptome assembly, best practice guidance for building gene models utilising short and long read sequencing data or cross species proteins, how to integrate and assess different gene models and create a publication/release ready gene set.

Learn how to extract DNA from metagenomic samples. prepare libraries, carry out nanopore sequencing and analyse the data.

FULLY BOOKED - Microbiome analysis going from samples, to sequencing, to numerical ecology analysis

Data Carpentry workshops are for any researcher who has data they want to analyze, with no prior computational experience required.

Our goal is to help scientists become more productive by teaching them basic computing skills of program design, version control, testing and task automation.

Through effectively linking datasets we can accelerate bioscience and deliver the key innovations needed to improve food security, environmental management, conservation, health and wellbeing.

Providing an introduction to single-cell genomics, this course is for researchers who are new to bioinformatics and are planning a single-cell project.