BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260707T143914Z
UID:35c7c7b8-1844-46ff-b569-a8e12752d2d5
DTSTART:20200203T070000Z
DTEND:20200207T140000Z
DESCRIPTION:BIOWEEK 2020\n\nThe Bioweek 2020 is a five-day comprehensive tr
 aining in bioinformatics consisting of three separate courses:\n\n3.2.2020
            Using modern HPC environment efficiently\n4.2-5.2.2020
     Data analysis with R\n6.2-7.2.2020    Introduction to RNA-seq da
 ta analysis\n\nYou can participate in ALL or only SELECTED Bioweek's cours
 es. We have planned the Bioweek 2020 so that we are building on top of th
 e previous knowledge. For example\, the last course (basics of RNA-seq da
 ta analysis) has command line\, R/RStudio and CSC services usage as prereq
 uisites.\n\nLecturers (CSC\, Finland):  Ari-Matti Saren\, Kimmo Mattila\,
  Jesse Harrison\, Anni Pyysing\, Maria Lehtivaara\, Laxmana Yetukuri\n\nLa
 nguage:  English\nPrice:           Free of charge\n\nUsing mode
 rn HPC environment efficiently\n\n\nDescription\n\nUsing a modern HPC envi
 ronment efficiently requires not only a good understanding of your scienti
 fic problem\, but also some familiarity with the technical aspects of the 
 system. On this course we will take a look at some of the most essential o
 nes: Using modern storage services\, running jobs through a batch job syst
 em and some solutions for getting your analysis environment running on a H
 PC platform.\n\n\nLearning outcomes\n\nAfter the course\, participants:\n\
 n\n	will have basic skills in using object storage\n	can use object storag
 e services as part of their analysis workflows\n	can run batch jobs using 
 Slurm\n	will have basic skills in using Singularity containers in HPC envi
 ronment\n\n\n\nPrerequisites\n\nThe participants are required to have basi
 c skills/knowledge in Command line usage / Linux basics\n\n\nProgram: see 
 Timetable menu\n\nData analysis with R\n\n\nDescription\n\nR is a language
  that has become one of the most popular tools for data manipulation\, vis
 ualization and statistics. While there are many R courses\, learning these
  skills can involve a steep learning curve\, especially for people with no
  experience in programming or data analysis. This two-day course aims to h
 elp with this initial difficulty by equipping learners with essential skil
 ls in data wrangling\, plotting and running commonly used statistical test
 s in R.\n\nThe course topics include data importing and exporting\, handli
 ng complex data sets and creating publication-ready plots with R. We also 
 cover statistical theory and tests including t-tests\, linear regression a
 nd the Chi-squared test. The course materials are available on GitHub (fee
 l free to have a look at them before the course starts!)\n\n\nLearning out
 comes\n\nAfter attending this course\, participants will be able to:\n\n\n
 	Navigate RStudio\n	Understand R syntax and how to write R code\n	Import a
 nd export data using R\n	Use tidyverse for data wrangling\n	Use ggplot2 fo
 r creating high-quality plots\n	Employ t-tests\, linear regression and Chi
 -squared tests in R\n\n\n\nPrerequisites\n\n\n	No prior experience of prog
 ramming or using R is expected\n	No data analysis or statistical experienc
 e is required (but is likely to be beneficial)\n\n\n\nProgram: see Timetab
 le menu\n\nIntroduction to RNA-seq data analysis\n\n\nDescription\n\nAfter
  learning the basics of command line usage\, HPC and R/Rstudio\, it's time
  to put your new skills in use and use them in RNA-seq data analysis! This
  course is aimed at bioscientists who are planning on analysing their RNA-
 seq data. During the course\, we will learn the basic steps in RNA-seq ana
 lysis and how to use some of the most common analysis tools on command lin
 e and in R.\n\n\nLearning outcomes\n\nAfter the course\, participants:\n\n
 \n	can name and discuss the different stages of a basic RNA-seq analysis a
 nd common tools used in these steps\, \n	can run some RNA-seq analysis to
 ols on command line\n	import and start analysing their RNA-seq data in R\
 n\n\n\nPrerequisites\n\nThe participants are required to have basic skills
 /knowledge in:\n\n\n	Command line usage / Linux basics\n	Current CSC ser
 vices\n	R and Rstudio\n\n\nBioweek is structured so that this course build
 s on top of the earlier courses. This means that the prerequisite skills 
 can be learned on the two courses organised earlier on the same week. If y
 ou have no prior knowledge or suspect your knowledge on these subjects\, p
 lease consider participating in all the three courses. \n\n\nProgram: se
 e Timetable menu\nhttps://events.prace-ri.eu/event/965/
SUMMARY:BIOWEEK 2020 @ CSC
URL;VALUE=URI:https://events.prace-ri.eu/event/965/
END:VEVENT
END:VCALENDAR