Statistics for NMR Metabolomics course, 31 January-1 February 2018
NMR metabolomics facility and Computational Biology facility at the University of Liverpool presented this computer led statistics two day course for NMR metabolomics using bespoke R scripts.
The course covered from basic multivariate statistics to more advance multivariate analyses and models. No prior knowledge of R was required to undertake the course.
Course R for beginners, 21-23 November 2018
This three day course was organised by both the Centre for Genomic Research and the Computational Biology Facility. We covered a wide range of topics structured in these themes:
- Day 1: Introduction to R, data structures, handling data and introduction to functions
- Day 2: Visualisation: creating ready for publication plots
- Day 3: Basic statistics covering univariate and some multivariate analyses.
Meet the engineers! 30, 31 October and 7th of November 2018
Lunch sessions to engage with our software engineers and explore the possibilities of your data. Make your research efficient while producing new outputs: databases, custom-made software, websites… anything you need and up to half prize with the TD voucher scheme.
Gene expression workshop, 15–17 May 2018
The course was presented by the Centre for Genomic Research (CGR) and the Computational Biology Facility at the University of Liverpool. We offered keynote talks by experts in the areas covered and a large portion of the course comprises practical computer sessions, allowing delegates to obtain hands-on experience.
This course is designed to provide an introduction to the conceptual, practical and interpretation issues involved in large-scale gene expression profiling.
This course covers aspects associated with next-generation sequencing-based approaches to transcriptional profiling (RNA-Seq), comprising the following sections:
- Introduction to next-generation sequencing and RNA-Seq
- Experimental design and cost implications
- Laboratory tour of sequencing laboratory
- Informatic issues: The command-line interface, Data handling and statistical analyses, Analysis in the iPlant environment, Network modelling.
DATARAMA
DATARAMA was a two day event run in February 2018 in which the CBF provided a mixed approach to providing bioinformatic solutions in the community.
The overarching aim of the event focused on providing direct support to groups wishing to develop a systems biology project lacking part of the theoretical or computational expertise. During the first day we provided an overview of current bioinfomatics analysis showcased with real life case studies. Topics covered included:
- How to best design a multi-omics experiment
- Strategies for biomarker discovery
- Network analysis and drug repositioning.
We also provided an overview of an assortment of other bioinformatics solutions such as protein modelling and database and software development and several rounds of Q&A.
During registration period we allowed for any interested parties to submit project proposals to us on any research question that would involve omics analyses, bioinformatics expertise e.g. in protein modelling, or software creation and deployment. Twelve projects were selected and we arranged talks to discuss some of the options available to take the most out of the data, the possibility of applying for a TD voucher and options to apply together for further funding to undertake the work. One of the projects will be selected for a TD voucher award.
Statistics Analyses for NMR metabolomics, 10-11 Jan 2018
During this two day course we covered the basis of univariate and multivariate analyses for NMR metabolomics and provided hands-on experience including tailored made scripts to take home. Some of the feedback received included: “I really appreciated the opportunity to learn a little bit of R. I would be happy to learn more in the future. I thought the course provided a good balance of work vs practice. Not too hectic, which helps digest the material from the talks”
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