Events

The CBF is involved in numerous events and workshops. Here an overview of our most recent events:

Upcoming events:

Statistics for NMR Metabolomics course – 31st January- 1st February 2018

NMR metabolomics facility and Computational Biology facility at the University of Liverpool present this computer led statistics 2-day course for NMR metabolomics using bespoke R scripts.

The course will cover from basic multivariate statistics to more advance multivariate analyses and models. No prior knowledge of R is required to undertake the course. The course programme can be consulted in this file: Rmetabolomics_programme2019 and more information is available in the dedicated page.

There are a very limited number of places so we encourage early registration. To register please fill in this form. Course fees are as follow:

£150 – University of Liverpool
£200 – Affiliated institutes with Technology Directorate Memorandum of Understanding
£500 – All other not-for-profit organisations
(industrial partner registration on request)

Past events:

Course R for beginners – 21st-23rd November 2018

This 3 day course was organised by both the Centre for Genomic Research (CGR) and the Computational Biology Facility (us!). 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

This course will be run in other occasions. For more information please consult our dedicated web here.

Meet the engineers! – 30th, 31st of October and 7th of November

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.

This event will run in the near future again but our software engineers are always keen to hear ways of making your research more efficient. Contact us to arrange an appointment!

Gene expression workshop. 15th – 17th May 2018.

The course was presented by the Centre for Genomic Research (CGR) and the Computational Biology Facility at the University of Liverpool. We offer 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 a 4-day introduction to the conceptual, practical and interpretation issues involved in large-scale gene expression profiling. Whole transcriptome profiling in now well established, and can be applied to a wide range of biological questions. However, it is challenging both in handling the huge amounts of data generated, and downstream interpretation.

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

Visit the CGR website for more information.

DATARAMA

DATARAMA was a two-day event run at the end of Feb 2018 in which the CBF provided a mixed approach to providing bioinformatic solutions  in the community. The overarching aim of the event focused in provide direct support to groups wishing to develop a systems biology project lacking part of the theoretical or computational expertise. 

During the 19th of Feb 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 project will be selected for a TD voucher award. Stay tuned for the announcement (in early March!)

 

For more info you can visit DATARAMA dedicated page Some pictures of the event below:

Course: Statistics Analyses for NMR metabolomics (10th-11th Jan 2018)

The second edition of this course was run for the 10th-11th January 2018. During this 2-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”

Some pictures of the course below:

 

Workshop: An NMR metabolomics overview (3rd Nov 2017)

The CBF participated with a lecture on the most common statistical analyses tools used for NMR metabolomics and some useful examples about the aspects to pay attention to when analysing these data. This workshop runs anually and is organised by the NMR Centre for Metabolomics.

Course: Statistical Analyses for NMR metabolomics (22nd-24th Feb 2017)

This 2-day course was run in collaboration with the NMR metabolomics shared research facility and provides a not only theoretical approach but also a hands-on experience analysing real NMR metabolomics data using tailor-made scripts in the statistical software R. This course also runs in annual basis.

Course: Computational Approaches for the integration of multi-level omics data for the prediction of phenotypic outcome (May 2017)

This week long course was run in collaboration with the Centre for Genomic Research at the University of Liverpool. The CBF delivered the sessions related integration of RNAseq data and network analysis via Cytoscape. The course is run annually with the last iteration in April 2017.