Node: United Kingdom
Keywords: Transcriptomics or • New developments in techn... or Single cell sequencing or Allergy or reproduction or Clinical Bioinformatics or Galaxy or Healthcare or Containers or Translational research or HDRUK
R for data science
31 March - 3 April 2020
Liverpool, United KingdomR for data science https://www.liverpool.ac.uk/computational-biology-facility/events/r-data-science/ https://tess.elixir-europe.org/events/r-for-data-science The course covered content for these learning objectives: To write your own custom functions To use for loops, apply functions and if statements To analyse large matrices of data in a semi-automated way To normalise data To quantify and correct batch effect To undertake the most common clustering algorithms including k-means and hierarchical To perform variable selection and present these results in different plots including heatmaps To do 2-way ANOVA To undertake multivariate modelling A brief introduction to machine learning. The course included brief theoretical introductions followed by hands on exercises based on real life research examples. 2020-03-31 09:00:00 UTC 2020-04-03 17:00:00 UTC Computational Biology Facility University of Liverpool, Liverpool, United Kingdom University of Liverpool Liverpool Merseyside United Kingdom L69 3GH Statistics and probability Bioinformatics University of Liverpool Computational Biology Facility (firstname.lastname@example.org)   20 workshops_and_courses registration_of_interest R ProgrammingStatistical-model Statistics Pre-processingTranscriptomicsMetabolomicsProteomics
R for beginners
1 - 3 April 2020
Liverpool, United KingdomR for beginners https://www.liverpool.ac.uk/computational-biology-facility/events/r-beginners/ https://tess.elixir-europe.org/events/r-for-beginners R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. This course covers: Day 1: Foundations of R: get familiar with R, R studio, operators, variables, functions, directories and the script editor Day 2: Visualisation in basic R (boxplots, scatterplots, line graphs and histograms) and ggplot2 (same types of plots and also manipulation of data for use within this package as well as simple linear regression) Day 3: Introduction to statistical analyses in R: univariate statistics (choosing the right test, checking data assumptions, calculating and extracting the values to report in publications) and Principal Component Analysis (calculation and visualisation with ggplot2) Extra materials: Introduction to the Tidyverse, Introduction to for loops All materials have been built using relevant life sciences/clinical examples. The course has been designed to introduce R from the very basics. Therefore applicants do not need any prior experience to attend, just the desire to learn R. Real life examples with bioinformatic applications are included. 2020-04-01 09:00:00 UTC 2020-04-03 17:00:00 UTC Computational Biology Facility University of Liverpool, Liverpool, United Kingdom University of Liverpool Liverpool Merseyside United Kingdom L69 3GH Computational biology Statistics and probability University of Liverpool Computational Biology Facility (email@example.com)   workshops_and_courses first_come_first_served R-programmingbiostatistics Statistics R programminglife sciences, bioinformaticsClinical Bioinformatics
Using the Ensembl Genome Browser (POSTPONED - FUTURE DATE TO BE ADVISED)
16 April 2020
Cambridge, United KingdomUsing the Ensembl Genome Browser (POSTPONED - FUTURE DATE TO BE ADVISED) http://training.csx.cam.ac.uk/bioinformatics/event/3351117 https://tess.elixir-europe.org/events/using-the-ensembl-genome-browser-467135ab-7028-4d4f-8a24-bbffa5548b3b PLEASE NOTE that until further notice, due to the evolving situation with Coronavirus no courses will be offered as classroom based at the Training Facility. The Bioinformatics Team are investigating a workable solution to offer some of the courses on a remote basis and will be in contact with updates as soon as possible. Where courses cannot be offered online, we will advise new classroom dates as soon as we are able. The [Ensembl Project](http://www.ensembl.org) provides a comprehensive and integrated source of annotation of, mainly vertebrate, genome sequences. This workshop offers a comprehensive practical introduction to the use of the Ensembl genome browser as well as essential background information. This course will focus on the vertebrate genomes in Ensembl, however much of what will be covered is also applicable to the non-vertebrates (plants, bacteria, fungi, metazoa and protists) in Ensembl Genomes. 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](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3351117&course-title=Using%20the%20Ensembl%20Genome%20Browser).'' 2020-04-16 08:30:00 UTC 2020-04-16 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Gene transcripts Gene structure Bioinformatics University of Cambridge Bioinformatics Training  Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses  HDRUK
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