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This course aims to provide trainers with guidance and tips for developing and delivering training in bioinformatics, exploring a range of methods appropriate to different learning styles and examining the requirements for a successful course (both scientific and logistic).

This event is organized as part of the Horizon 2020 ELIXIR-EXCELERATE project.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking here.

Analysis of whole genome data unearths a multitude of variants of different classes, which need to be filtered, annotated and validated to arrive at a causative variant for a disease. The current short length sequences, whilst being excellent at identifying single nucleotide variants and short insertions/deletions, struggle to correctly map structural variants (SVs). Long-read sequencing technologies offer improvements in the characterisation of genetic variation and regions that are difficult to assess with short-read sequences.

The aim of this course is to familiarise participants with long read sequencing technologies, their applications and the bioinformatics tools used to assemble this kind of data. Lectures will introduce this technology and provide insight into methods for the analysis of genomic data, while the hands-on sessions will allow participants to run analysis pipelines, focusing on data generated by the Oxford Nanopore Technologies (ONT) platform.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

In many domains of research the rapid generation of large amounts of data is fundamentally changing how research is done. The deluge of data presents great opportunities, but also many challenges in managing, analyzing and sharing data.

Data Carpentry workshops are designed to teach basic concepts, skills and tools for working more effectively with data, using a combination of tools with a main focus in R. The workshop is aimed at researchers in the life sciences at all career stages and is designed for learners with little to no prior knowledge of programming, shell scripting, or command line tools.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

This three day workshop will bring together representatives of the ELIXIR Galaxy Working Group, as well as trainers and developers working on the Galaxy project from Europe and beyond, to:

• Build on an existing collection of Galaxy training materials. During the workshop we will collate additional materials, including topics relevant to the ELIXIR use-cases, and ensure that, for each workflow, a minimum set of training materials is available, including slides, practical exercises, Docker containers, and Galaxy tours.
• Improve materials’ annotations (introducing full BioSchemas compliance) and align them with existing ELIXIR efforts (linking to TeSS). During the workshop materials will be curated to ensure they are properly described, according to the ELIXIR/GOBLET guidelines, and BioSchemas compliant.
• Extend the existing “curated” dataset collection and assign DOI to individual datasets.
• Increase the number of Docker/Virtual Machines available for easy installation of Galaxy training environments.
• Explore the feasibility of developing a toolkit to facilitate plug in of different datasets in existing training material/workflows through a templating approach.

This event is supported by ELIXIR-EXCELERATE, an European Commission grant within the Research Infrastructures programme of Horizon 2020, grant agreement number 676559.

This course provides a practical guide to producing figures for use in reports and publications.

It is a wide ranging course which looks at how to design figures to clearly and fairly represent your data, the practical aspects of graph creation, the allowable manipulation of bitmap images and compositing and editing of final figures.

The course will use a number of different open source software packages and is illustrated with a number of example figures adapted from common analysis tools.

Further information and access to the course materials is here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking here.

This course provides a practical guide to producing figures for use in reports and publications.

It is a wide ranging course which looks at how to design figures to clearly and fairly represent your data, the practical aspects of graph creation, the allowable manipulation of bitmap images and compositing and editing of final figures.

The course will use a number of different open source software packages and is illustrated with a number of example figures adapted from common analysis tools.

Further information and access to the course materials is here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking here.