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DESCRIPTION:Educators:\nde.STAIR Partners\n\nDate:\nApril 12-16\, 2021\, 09
 :00 - 12:00 (MEZ)\n\nLocation:\nOnline Training\n\nContent:\nThe upcoming 
 training course is divided into five consecutive days\, centered on bioinf
 ormatic questioning and utilizing Galaxy. Each training course is divided 
 into an interactive lecture followed by a hands-on session. Each day will 
 start with an optional discussion about the previous hands-on. We aim to c
 onvey the following topics.\n\nMonday\, April 12th - Introduction to Galax
 y\nTutor: Steffen C. Lott\n\nIn the first lesson\, we will dive into the G
 alaxy platform to master data handling focused on bioinformatics. Here\, w
 e get to know the benefits of using Galaxy\, the FAIR principles\, version
  control\, batch processing\, and workflow design. Additionally\, sharing 
 data and working with Galaxy histories will also be part of this session.\
 n\nTuesday\, April 13th - Data formatting\nTutor: David Brauer\n\nGalaxy a
 nd its integrated tools offer a flexible way for analyzing complex and div
 erse data. While autonomously generated data\, such as RNA-seq data\, are 
 "usually ready-to-go"\, manually formatted data\, like spreadsheets and ot
 her text documents\, are more challenging to integrate.\nThis course aims 
 to give you an overview of the data formatting tools in Galaxy. We will sh
 owcase simple operations like transposing rows and columns and further int
 roduce more complex data operations using regular expressions and UNIX uti
 lities like "sed" and "awk".\n\nWednesday\, April 14th - Transcriptomics\n
 Tutor: Markus Wolfien\n\nThis session will introduce the RNA-Seq data anal
 ysis capabilities of the Galaxy framework for scientific data analyses. We
  will compare current RNA-Seq technologies to meet specific research quest
 ions and show initial data exploration as well as quality control of NGS d
 atasets. Further\, concepts of genome alignment and data visualization wil
 l be introduced.\n\nThursday\, April 15th - Machine learning\nTutor: Maxim
 ilian Hillemanns\n\nMachine Learning (ML) has become an indispensable part
  of today's data processing techniques. Nowadays\, researchers are using S
 upport Vector Machines (SVMs)\, Random Forests (RFs)\, and Convolutional N
 eural Networks (CNNs) to analyze their data. This session provides an intr
 oduction to different ML technologies and their applications using Galaxy.
 \nTogether we will address the following questions: How can I use ML\, and
  is it suitable to analyze my data\, and what can ML tell me about my data
  (or not)?\n\nFriday\, April 16th - Workflow Generator\nTutor: Konstantin 
 Riege\n\nThis course showcases the setup of the de.STAIR Galaxy flavor\, w
 hich enables you to set up a customized Galaxy instance on your own system
 . This Galaxy instance comprises our established workflow generator plugin
 \, which leverages on a new concept of Galaxy Atoms that combines interact
 ive tours and alternative tools.\nWith this technology\, we can build pers
 onalized\, reusable Galaxy workflows in a guided and self-educated fashion
 . Here\, we do also recap learning goals from previous training sessions.\
 n\nPrerequisites:\nThis workshop is intended for students and researchers 
 with a background in life sciences and a functional web browser.\n\nKeywor
 ds:\nGalaxy\, Machine Learning\, Docker\, Galaxy Flavors\, Interactive Tou
 rs\, Transcriptomics\, Data formatting\n\nTools:\nGalaxy (https://usegalax
 y.eu)
SUMMARY:Bioinformatics carpentry utilizing Galaxy 
URL;VALUE=URI:https://www.denbi.de/training/1187-bioinformatics-carpentry-u
 tilizing-galaxy
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