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A T T E N T I O N:<br>
Please note that the talk will in fact be given tomorrow. I
apologize for the<br>
announcement being very late this time.<br>
<br>
<br>
<br>
I N V I T A T I O N<br>
<font face="sans-serif"> </font><br>
<font face="sans-serif">===============================================<br>
<br>
to the Research Seminar 'Computer Graphics, Image Processing, and
Visualization'<br>
<br>
</font><font face="sans-serif"> on<font face="sans-serif">
Tuesday, November 15th, 2016, at 09:15 AM,<br>
in Room P-701 in the Paulinum, Augustusplatz.</font><br>
</font><br>
<font face="sans-serif">===============================================</font><br>
<br>
A talk is given by<br>
<br>
Daniel Gerighausen<br>
Department of Computer Science<br>
Leipzig University.<br>
<br>
and is entitled<br>
<br>
"Analyzing Histone Modifications in iPS Cells Using Tiled Binned
3D Scatter<br>
Plots".<br>
<br>
Abstract:<br>
<br>
<font face="sans-serif"> Epigenetics data is very important for
understanding the differentiation of<br>
cells into different cell types. Moreover, the amount of
epigenetic data<br>
available was and still is considerably increasing. To cope
with this big<br>
amount of data, statistical or visual analysis is used.
Usually,<br>
biologists analyze epigenetic data using statistical methods
like<br>
correlations on a high level. However, this does not allow to
analyze the<br>
fate of histone modifications in detail during cell
specification or to<br>
compare histone modifications in different cell lines. Tiled
binned<br>
scatter plot matrices proved to be very useful for this type
of analysis<br>
showing binary relationships. We adapted the idea of tiling
and binning<br>
scatter plots from 2D to 3D, such that ternary relationships
can be<br>
depicted. Comparing tiled binned 3D scatter plots---the new
method---to<br>
tiled binned 2D scatter plot matrices showed, that many
relations that are<br>
difficult or impossible to find using tiled binned 2D scatter
plot matrices<br>
can easily be observed using the new approach. We found that
using our<br>
approach, changes in the distribution of the marks over time
(different<br>
cell types) or differences between different replicates of the
same cell<br>
sample are easy to detect.<font face="sans-serif"><br>
<br>
</font><font face="sans-serif"><font face="sans-serif">===============================================<br>
</font></font><br>
On behalf of Professor Scheuermann all those interested are
cordially invited to attend.<br>
<br>
Yours sincerely,</font><br>
Tom Liebmann
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