[Forschungsseminar-BSV] Forschungsseminar Computergrafik

[Vanessa Kretzschmar]

Achtung:
  - mehrere Vortraege (erhoehte Dauer moeglich)


E I N L A D U N G

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zum Forschungsseminar 'Computergrafik, Bildverarbeitung und Visualisierung'

     am Mittwoch, den 4. Mai 2022, 13:15 Uhr,
     im Raum P-701 im Paulinum am Augustusplatz.

     Personen auf Dienstreise, in Quarantäne oder ähnliches können sich
     digital über https://conf.fmi.uni-leipzig.de/b/van-bwb-jil-vk2 
zuschalten.

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Wir hören einen Vortrag von

     Erik Schulze

mit dem Titel:

     'segemehlQC 2.0: A quality control tool for mapped NGS data'

zum Inhalt:

     As modern sequencing methods and technologies are producing ever more
     data, epigenetic workflows are increasing in size and complexity as 
well.
     For these workflows to be effective, proper quality control procedures
     have to be implemented at every step along the way. There exist a large
     number of quality control tools for this purpose. The segemehlQC tool
     introduces a set of useful statistics and visualizations for the 
examination
     of the quality of DNA sequence alignment data. This Thesis aims to 
improve
     upon the groundwork laid by segemehlQC and provide a more accessible
     user interface as well as a more robust and optimized calculation 
process.

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Weiterhin, hören wir einen Vortrag von

     Maximilian Söchting

mit dem Titel:

     'Interactive Exploration and Visualization of Large-Scale, 
Multi-Dimensional Earth  Observation Data'

zum Inhalt:

     Climate change and its effects on the global climate system, the 
scarcity
     of natural resources and subsequent political conflicts are one of the
     greatest threats to the global political and economic system. In order
     to better understand the effects of climate change and to counteract
     them, it is essential that climate-relevant variables are recorded and
     evaluated, e.g. by satellites. To allow for more precise 
interpretations,
     there is a trend in remote sensing, climate models and climate impact
     modeling towards data sets with increasingly higher temporal and 
spatial
     resolution. However, as the data set sizes increase, it becomes much
     harder to quickly and intuitively understand the data. Executing 
queries
     can take hours or even days and conventional visualization software
     packages fail to process these data amounts. As part of this project, a
     client-server software architecture for interactive exploration and
     visualization of multivariate remote sensing data sets is proposed. It
     allows to explore large data sets such as the Earth System Data Cube
     (ca. 3 TB uncompressed) in any modern web browser. The data is 
visualized
     as a 3D “earth cube” with a temporal dimension in addition to the two
     spatial dimensions. The client software imposes minimal hardware
     requirements and therefore even allows interactive visualization on
     mobile devices. To achieve this, the software employs a combination of
     compression algorithms and computer graphics techniques such as tiling
     and level-of-detail rendering.

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Alle Interessierten sind im Namen von Professor Dr. Scheuermann herzlich
eingeladen.

Mit freundlichen Grüßen
Vanessa Kretzschmar
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