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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260711T212501Z
UID:5cce2b2e-b871-40c2-b5a8-6b4eff281827
DTSTART:20250917T070000Z
DTEND:20250917T083000Z
DESCRIPTION:Educators:\nDaniel Wibberg (CAU)\, Sebastian Beier (GCBN)\, Ann
 a-Maria Möller\, Daniela Dey (both WGGC)\n\nDate:\n17 September (9:00 - 1
 0:30)\n\nLocation:\nBonn - EPPS2025 (https://epps2025.plant-phenotyping-ne
 twork.de/EPPS_Home)\n\nContents:\nIn this 90-minute hands-on workshop\, pa
 rticipants will learn how to load\, explore\, and visualize small-scale NG
 S transcriptomic count data using Python in Galaxy Hub’s JupyterLab envi
 ronment. After a brief introduction to NGS data and its importance\, we wi
 ll dive into practical work with pandas to inspect and manipulate the data
 . Participants will then explore basic statistics and create quick histogr
 ams to interpret count distributions. In the final block\, we will generat
 e polished plots using seaborn and matplotlib\, with optional challenges f
 or advanced participants. The session concludes with a short discussion on
  how these foundational skills prepare for more complex transcriptomic ana
 lyses like normalization or PCA.\n\nThe workshop is a cooperation between 
 de.NBI &amp\; ELIXIR-DE and the West German Genome Center (WGGC)\n\nLearni
 ng goals:\n- Get familiar with the programming language Python (no pre-kno
 wledge required)\n- build a basic understanding of data handling and\n- vi
 sualization with Python\n- introduction to commonly required applications/
 tools\n\nPrerequisites:\nAttendees should be equipped with a personal lapt
 op. None programming knowledge is needed.\n\n\nKeywords:\nPython\n\nTools:
 \nPython
LOCATION:World Conference Center Bonn\, 2 Platz der Vereinten Nationen
SUMMARY:Easy & Quick - Visualizing NGS Count Data with Python - EPPS25
URL;VALUE=URI:https://www.denbi.de/training-courses-2025/1911-easy-quick-vi
 sualizing-ngs-count-data-with-python-epps25
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