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  • R for beginners

    1 - 3 April 2020

    Liverpool, United Kingdom

    R for 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 (cbf@liverpool.ac.uk) [] [] workshops_and_courses first_come_first_served R-programmingbiostatistics Statistics R programminglife sciences, bioinformaticsClinical Bioinformatics
  • EMBO practical course on Integrative Modelling of Biomolecular Interactions

    11 - 15 May 2020

    Izmir, Turkey

    EMBO practical course on Integrative Modelling of Biomolecular Interactions https://tess.elixir-europe.org/events/embo-practical-course-on-integrative-modelling-of-biomolecular-interactions Proteins and their interactions are the mainstays of any cellular process. Studying these interactions at atomic detail is invaluable, paving the route to a mechanistic understanding of biological function and providing the first essential step towards the development of new drugs. Because of the costs and challenges associated with experimental techniques, structural biologists often turn to computational methods. This course will present docking-based computational methods and related bioinformatics approaches, aiming at predicting how proteins interact with other biomolecules or ligands. Lectures will provide the theoretical background on state-of-the-art algorithms for sampling and scoring docking models, describe the use of low- and high-resolution information, and conservation- and coevolution-based interface prediction methods. Further, to broaden the scope of the course beyond protein-protein interactions, we will cover protein-peptide docking, data-driven molecular simulations, and other relevant topics in the field, including modeling of large assemblies and membrane proteins. Roughly half of the course wil consist of practical sessions where the students will run computations on interesting biological problems. Finally, to encourage interaction between all participants and stimulate discussions, students will be prompted to present their own research, both in flash presentations and poster sessions, and bring their own research problems to dedicated troubleshooting sessions. 2020-05-11 09:00:00 UTC 2020-05-15 18:00:00 UTC Alexandre Bonvin, Ezgi Karaca and João Rodrigues Izmir Biomedicine and Genome Center Dokuz Eylül University Health Campus Mithatpasa St. 58/5 35340 Balcova, Izmir/TURKEY, Izmir, Turkey Izmir Biomedicine and Genome Center Dokuz Eylül University Health Campus Mithatpasa St. 58/5 35340 Balcova, Izmir/TURKEY Izmir Balçova Turkey 35340 [] embo2020.intmod@gmail.com BrukerF1000 ResearchBioExcelEMBO Press [] 24 workshops_and_courses [] Protein-Protein Complex modelingmodellingDockingInteractions

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