5 events found
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 (email@example.com)   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 (firstname.lastname@example.org)   workshops_and_courses first_come_first_served R-programmingbiostatistics Statistics R programminglife sciences, bioinformaticsClinical Bioinformatics
RNA-Seq analysis using Galaxy
6 April 2020
Saint Lucia, AustraliaRNA-Seq analysis using Galaxy https://www.eventbrite.com.au/e/90083615519/ https://tess.elixir-europe.org/events/rna-seq-analysis-using-galaxy-27541783-c01f-4405-8508-b8f5bda790ae 2020-04-06 09:00:00 UTC 2020-04-06 17:00:00 UTC QCIF The University of Queensland, Saint Lucia, Australia The University of Queensland Saint Lucia Queensland Australia 4072 University of Queensland Mark Crowe - email@example.com  Postgraduate studentsPostdoctoral researchers   RNA-SeqGalaxyBioinformaticsGene ExpressionDifferential Expression
Bacterial Genomes: From DNA to Protein Function Using Bioinformatics
20 April - 16 August 2020Bacterial Genomes: From DNA to Protein Function Using Bioinformatics https://coursesandconferences.wellcomegenomecampus.org/our-events/bacterial-genomes-dna-protein-function-bioinformatics-online-aug19/ https://tess.elixir-europe.org/events/bacterial-genomes-from-dna-to-protein-function-using-bioinformatics-92c9e794-2186-4766-8435-3273e0756322 # Overview * **Duration**: 2 weeks, 5 hours per week * Free * Certificate of Achievement available on satisfactory completion * **CPD Approval**: Royal College of Pathologists (10 credits) * **Start Date**: The course is run ‘live’ for 2 weeks from the start date above. Once this period is over there will be no live monitoring of the forums, but you can still join and complete the course during the remaining period. ### Why join the course? Join us in our quest to discover what makes microbes dangerous. Use bioinformatics to probe genomes, to explore and represent DNA and protein sequences. Then, use databases to find protein sequences’ conserved domains and investigate their functions. ### Who is the course for? The course will be of interest to undergraduates, post-graduates, researchers, bioinformaticians, biomedical researchers, microbiologists, healthcare professionals and all those who are interested in learning about the underlying mechanisms of bacterial disease, DNA sequences and protein data, or how to use online analytical tools to probe genomes. The topics covered in this course are applicable to the genomes of all organisms. It is not essential to have previous knowledge or experience in bioinformatics. Scientific terminology is explained. The opportunity to use online computational tools in the context of bacterial genomes will also be of interest to teachers and their 16-18-year-old science and computing students. ### What do people say about this course? "_Clear introduction of the – often viewed as complex – field of bioinformatics_." Mqondisi Tshabalala, PhD student, Institute for Cellular and Molecular Medicine, University of Pretoria, South Africa "_Highlights of the course were the investigations with the databases - these reinforced the learning._" Dr. Alan McLintic, Anaesthesiologist, Faculty of Medicine and Health Scientists, University of Auckland, New Zealand # Programme and start dates ### Course start dates This course will be repeated: Next start dates: * September 2019 (date TBC) ### What topics will you cover? * Bioinformatics tools, DNA and protein sequences * Retrieving DNA and protein sequences from repositories * Databases for protein annotation * Inferring function from sequence ### What will you achieve? By the end of the course, you'll be able to... * assess DNA representations and protein sequences * perform searches in primary databases (repositories) and retrieve gene/protein data * interpret different repository submission formats * investigate biological databases for research * identify the putative function of proteins based on their conserved domains # Educators ## **Lead Educators** ### Dr Anna Protasio I am a researcher in parasitology and life sciences. I am passionate about bioinformatics and how we can use these tools to answer questions in biology. ### Martin Aslett I am the IT Manager for the Wellcome Genome Campus Advanced Courses and Scientific Conferences team. My interests lie in bioinformatics and its application to microbial genomics. ### Dr Christine Boinett I am a researcher in bacterial genetics and my interest is in understanding the development of resistance in bacterial pathogens using next generation sequencing techniques. ## **Educator** ### Matthew Dorman I am a graduate student at the Wellcome Sanger Institute, where I research the virulence and the molecular genetics of bacterial pathogens as part of the Infection Genomics programme. ## **Programme Lead Educator** ### Professor Nicholas Thomson Group Leader at the Wellcome Sanger Institute, interested in bacterial evolution and the spread of infectious disease; provides scientific oversight for this course. The course also features interviews with two distinguished experts: ### Dr Rob Finn Team Leader of EMBL-EBI Sequence Families Team ### Dr Claire Chewapreecha Sir Henry Wellcome Fellow and Lecturer, University of Cambridge, UK, and King Mongkut University of Technology, Thailand. # What's Included Wellcome Genome Campus Advanced Courses and Scientific Conferences are offering everyone who joins this course a free digital upgrade, so that you can experience the full benefits of studying online for free. This means that you get: * Unlimited access to this course * Includes any articles, videos, peer reviews and quizzes * Tests to validate your learning * A PDF Certificate of Achievement to prove your success when you’re eligible # CPD Approval 2020-04-20 09:00:00 UTC 2020-08-16 23:59:59 UTC Wellcome Genome Campus - Advanced Courses  firstname.lastname@example.org   workshops_and_courses  bacterialgenomesinformaticsHDRUK
Genome assembly using Galaxy
14 July 2020
Saint Lucia, AustraliaGenome assembly using Galaxy https://qfab.org/training/Genome%20assembly%20with%20Galaxy https://tess.elixir-europe.org/events/genome-assembly-using-galaxy-bfd44b56-d4a3-4863-a62b-e7656374a9a9 2020-07-14 09:00:00 UTC 2020-07-14 17:00:00 UTC QCIF The University of Queensland, Saint Lucia, Australia The University of Queensland Saint Lucia Queensland Australia 4072 University of Queensland Mark Crowe - email@example.com  Postgraduate studentsPostdoctoral researchers   Genome AssemblyDe novo genome assemblyGalaxyBioinformatics
Note, this map only displays events that have geolocation information in TeSS.
For the complete list of events in TeSS, click the grid tab.
For the complete list of events in TeSS, click the grid tab.