BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260715T133258Z UID:912b2c29-d8f4-48dc-8f95-d2a4bb70672b DTSTART:20210628T090000Z DTEND:20210702T170000Z DESCRIPTION:This virtual course\, organised in association with Wellcome G enome Campus\, Scientific Conferences and Advanced Courses\, provides an i ntroduction to the use of bioinformatics in biological research\, giving p articipants guidance for using bioinformatics in their work whilst also pr oviding hands-on training in tools and resources appropriate to their rese arch.\n\nParticipants will initially be introduced to bioinformatics theor y and practice\, including best practices for undertaking bioinformatics a nalysis\, data management and reproducibility. To enable specific explorat ion of resources in their particular field of interest\, participants will be divided into focused groups to work on a small project set by EMBL-EBI resource and research staff\, ending in a presentation from each group on the final day of the course to bring together learnings from all particip ants.\n\nThe course includes training and mentoring by experts from EMBL-E BI and external institutes.\n\n#### Virtual course\n\nParticipants will le arn via a mix of pre-recorded lectures\, live presentations\, and trainer Q&\;A sessions. Practical experience will be developed through group ac tivities and trainer-led computational exercises. Live sessions will be de livered using [Zoom](https://zoom.us/) with additional support and commu nication via [Slack](https://slack.com/intl/en-gb/). \n\nPre-recorded ma terial will be made available to registered participants prior to the star t of the course and in the week before the course there will be a brief in duction session. Computational practicals will run on EMBL-EBI's virtual training infrastructure\, meaning participants will not require access to a powerful computer or install complex software on their own machines.\n\n Participants will need to be available between the hours of 09:30-17:30 BS T each day of the course. Trainers will be available to assist\, answer qu estions and further explain the analysis during these times.\n\n### Group projects\n\n**Genome variation across human populations**\n\nNatural varia tion between individuals or between different human populations is a resul t of genome mutations throughout evolutionary history. Some mutations may become fixed because of their beneficial effect while most drift among ind ividuals. During this project\, you will investigate genomic variation bet ween two separate human populations of European and Asian descent. Using s equence data from a number of individuals from each population\, you will use a range of bioinformatics tools to discover variants that exist betwee n them. In the second section of the project\, you will attempt to analyse the functional consequences of the variants you have identified\, linking them to phenotypes.\n\n**Modelling cell signalling pathways**\n\nCurating models of biological processes is an effective training in computational systems biology\, where the curators gain an integrative knowledge of biol ogical systems\, modelling and bioinformatics. You will learn to encode an d simulate ordinary differential equation models of signalling pathways fr om a recent publication using user-friendly software such as [COPASI](http ://copasi.org/) even without extensive mathematical background. You will learn to perform in silco experiments\, new predictions and develop hypoth eses. Furthermore\, you will learn how to annotate models and re-use pre-e xisting models from open repositories such as BioModels.\n\n**Interpreting functional information from large scale protein structure data**\n\nThis project will introduce you to the wealth of publicly available data in the Protein Data Bank (PDB) and give you the opportunity to investigate how l arge subsets of structure data can be used to analyse protein features and determine function. In the project you will learn how to: identify releva nt protein structures\, collate and interpret functional information\, imp lement this process programmatically.\n\n**Networks and pathways**\n\nThis project will cover typical bioinformatics analysis steps needed to put di fferentially expressed genes into a wider biological context. You will sta rt with gene expression data (RNA-seq) to build an initial interaction net work. Next\, you will learn to combine public network datasets\, identify key regulators of biological pathways and explore biological function thro ugh network analysis. You will get first-hand experience in integration an d co-visualising with additional data and functional enrichment analysis. All this helps to put the initial results into a previously known context and provide hypotheses for potential follow up experiments. We will use Cy toscape\, Expression Atlas\, g:Profiler\, StringDb\, among other tools. We also may give a few R packages a try.\n\n**Multiomics analysis of human d isease**\n\nIn this project\, you will explore the benefits of multiomics data integration to investigate the onset and progression of human disease . You will analyse plasma proteomics and metabolomics data from patients a nd healthy controls to identify immunological and physiological changes th at are associated with disease severity. You will exploit differential ana lysis\, dimensionality reduction methods and multiomics integration tools to identify features that distinguish different patient groups\, perform f unctional enrichment analysis\, and visualise metabolomics and proteomics correlation networks in Cytoscape. Finally\, you will build basic machine learning models to predict the course of disease and to propose therapeuti c interventions that are likely to be most effective at different disease stages\n\n### Posters\n\nAll participants are expected to provide a poster for the course. We expect the posters to provide other delegates and trai ners with information on your research and to act as a talking point. They should give an idea of the work you are engaged in\, what you are plannin g to do next\, any challenges you have experienced in your research and an ything of interest that might be useful for other delegates. Further infor mation about posters will be provided following application selections. SUMMARY:Summer school in bioinformatics URL;VALUE=URI:https://www.ebi.ac.uk/training/events/summer-school-bioinform atics-2021 END:VEVENT END:VCALENDAR