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X-ORIGINAL-URL:https://www.inesc-id.pt/
X-WR-CALNAME:INESC-ID
X-WR-CALDESC:25 Years Defining Technology
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UID:MEC-5bf73bc6c6e6775d472621264309a88b@inesc-id.pt
DTSTART:20230509T000000Z
DTEND:20230513T000000Z
DTSTAMP:20230419T000000Z
CREATED:20230419
LAST-MODIFIED:20230419
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:OLISSIPO Workshops | EMBL Trainings in Computational Biology
DESCRIPTION:The EMBL team, one of the partner institutions of the OLISSIPO project ( https://olissipo.inesc-id.pt/ ), will visit INESC-ID to give a series of workshops in the area of Computational Biology. You are free to choose the workshops you want to attend (only Workshop 2 requires the attendance of Workshop 1).\nLocation: INESC-ID (Lisboa, Portugal), Room 9, Floor -1 (ask at the reception)\n \nWorkshop 1 (WS1) (May 9, 09:00-16:00)\nTitle: Introduction to R\nLecturer: Mike Smith\nThis one day course provides an introduction to data handling with the R language and will cover some useful tools for data wrangling, exploration and plotting using the tidyverse.  The course material is suitable for beginners, although basic familiarity with R will be advantageous.\nPrerequisites: A working installation of R and RStudio.  Installation instructions for both can be found under “Setup Instruction” on https://grp-bio-it-workshops.embl-community.io/introduction-to-R/index.html ( https://grp-bio-it-workshops.embl-community.io/introduction-to-R/index.html )\n \nWorkshop 2 (WS2) (May 10-11, 09:00-13:00)\nTo attend this course it is necessary to attend Workshop 1\nTitle: Biostatistical Basics in R\nLecturer: Sarah Kaspar\nThis course will equip you with basic statistical concepts that will immediately help you to better understand your biological data, and which are also the foundation for many advanced biostatistical topics.\nWe will cover:\n\nstatistical distributions\nhypothesis testing\nmultiple testing\ncontingency tables\n\nPrerequisites: You need to have R and RStudio installed, and basic knowledge of R and data visualisation using the tidyverse. If you don’t have this pre-knowledge you can complete one of the following:\n\nTuesday’s “Introduction to R” course\nThe carpentries Introduction to R ( https://datacarpentry.org/R-genomics/01-intro-to-R.html ) (working on your local RStudio)\nThe EMBL-EBI tutorial on data handling and visualisation in R ( https://www.ebi.ac.uk/training/online/courses/biostatistics-introduction/data-handling-and-visualisation/ ) (working in the browser)\n\n \nWorkshop 3 (WS3) (May 10, 14:00-18:00)\nTitle: Drug Synergy\nLecturer: Petr Smirnov\nThis workshop introduces the fundamental concepts behind analysing drug combination experiments on immortalised cancer cell lines; discusses common models for assessing drug synergy, and introduces R/Bioconductor tools implementing these methods. A hands on analysing public drug combination data is included.\nThe learning goals behind this workshop are:\n\nDescribe pharmacogenomic mono and combination datasets and usefulness in cancer research\nUnderstand how experimental designs and research questions map onto data structures\nLearn how to extract information from these datasets\nLearn how to visualise experimental results from these datasets\nLearn how to model dose-response for both monotherapy and combination small compound datasets\nLearn measures to quantify response and synergy in cell line sensitivity screens\n\nPrerequisites: You need working knowledge of R and a basic familiarity with Bioconductor. Experience with the data.table R package is helpful, but not required.\n \nWorkshop 4 (WS4) (May 11, 14:00-18:00; May 12, 09:00-13:00)\nTitle: Single-Cell\nLecturers: Donnacha Fitzgerald, Hosna Baniadam, Harald Vöhringer, Petr Smirnov\nThe aim of this workshop is to introduce single-cell (including multi-omic and spatial) methods, what can be achieved with them and principles for their analysis. It will include the following topics:\n\nOverview of single-cell methods\nSingle-cell transcriptomics analysis\nSingle-cell data integration (horizontal and vertical)\nSpatial analysis + probabilistic factor models for the analysis of single cell data\n\nEach topic includes a 30 minutes talk followed by a 45 minutes practical component.\nWe will also add a consultation hour (60 minutes) at the end of the program for people to ask questions related to their own projects or to bring data for help with their analysis.\n \nRegistration is free but mandatory. Please register here ( https://docs.google.com/forms/d/e/1FAIpQLSf_y78l3tCNyxm7cdWOTFWmyH4fSiHktzj-YUH7NkdPBjmVXQ/viewform?usp=sf_link ) (https://docs.google.com/forms/d/e/1FAIpQLSf_y78l3tCNyxm7cdWOTFWmyH4fSiHktzj-YUH7NkdPBjmVXQ/viewform?usp=sf_link ( https://docs.google.com/forms/d/e/1FAIpQLSf_y78l3tCNyxm7cdWOTFWmyH4fSiHktzj-YUH7NkdPBjmVXQ/viewform?usp=sf_link )) until April 28, 2023. We have 30 seats for each workshop. We might have to close the registrations before the registration deadline.\n
URL:https://www.inesc-id.pt/events/olissipo-workshops-embl-trainings-in-computational-biology/
CATEGORIES:Events
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