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DTSTAMP:20260616T135904Z
UID:b48769ac-9eb2-489d-9759-cc2836d9cc9f
DTSTART:20200713T090000Z
DTEND:20200727T170000Z
DESCRIPTION:Educators:\nJulia Scheel\, Andrea Bagnacani\, Markus Wolfien (R
 BC)\n \nLocation:\nOnline\n\nDates:\n13.07.2020\, 15.07.2020\, 27.07.2020\
 n\nContents:\nLife sciences used to be all about wet-lab expertise. Due to
  fast technical innovations and digitalisation we are now facing the chall
 enge of dealing with vasts amounts of data. Analyses of such data requires
  advanced statistics and specialized tools to run analyses and to visualiz
 e both data and results. Science becomes more and more dependent on bioinf
 ormaticians and computer scientists\, which creates the additional challen
 ge of interdisciplinary communication. This course introduces the Galaxy f
 ramework\, an open source\, web-based platform for data intensive biomedic
 al research\, Python\, an interpreted\, high-level\, general-purpose progr
 amming language\, and Jupyter Notebook\, a multi-language framework for in
 teractive computing. You can chose to use this course as a stepping stone 
 into advanced analyses\, or as an opportunity to learn what your bioinform
 atician of trust is actually doing. Further courses and   tutorials for Ga
 laxy and Python are widely available. Both Galaxy and Python have active u
 ser communities\, making self-paced learning possible.\n\nLearning goals:\
 n- Know your data: implications of quality control and data  preprocessing
 \n- Hands-on quality control and data preprocessing\n- Understanding and p
 rogramming in Python\n- Hands-on session with Jupyter Notebooks.\n\nPrereq
 uisites:\nThis workshop is intended for PhD students with a background in 
 medicine\, engineering and life science research. In order to take part in
  the hands-on session we recommend one Laptop/PC  and a stable internet co
 nnection. We further ask you to create a Galaxy account beforehand.\n\nToo
 ls:\n  - Galaxy: https://usegalaxy.eu\n  - Python: https://python.org\n  -
  Jupyter Notebook: https://jupyter.org/
SUMMARY:Introduction to Galaxy and Python with Jupyter Notebook 
URL;VALUE=URI:https://www.denbi.de/training/938-introduction-to-galaxy-and-
 python-with-jupyter-notebook
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