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Munich Datageeks – December Edition


14. Dezember 2016
19:00 Uhr - 22:00 Uhr



It is time for the next Munich Datageeks Meetup. In December, ProSieben Sat.1 will host it for the first time.


  • 2 presentations (each ca. 30-40 min incl. discussion)
  • Of course time for networking + food + drinks before, in between and especially after the presentations
  • Talks are held in English

The line up:

Martin Preusse & Gökcen Eraslan – Deep modeling of DNA sequences


Ordered sequences of molecules are the central concept of biological information. The DNA is composed of the 4 nucleotides (A, C, G, T) and is used to persist information over generations. Our understanding of these DNA sequences is very limited. We cannot read them like a book, we still have not learned their grammar and vocabulary. Consequently, there is no way to predict the biological purpose of a stretch of DNA from the sequence alone.
Deep learning methods offer new ways to bring light into the darkness of our genome and to elucidate the structure of genes and their regulation. However, the interpretability of deep models and difficulties with modeling long, variable-length sequences hinder the use of deep learning in biology.
We are working on new approaches to deal with these issues. Examples are sequence classification using convolutional neural networks and generative models for variable-length sequences using recurrent variational autoencoders. In this talk, we will give an overview of biological sequences, their fascinating properties and their relevance for disease biology. We will demonstrate some of our methods and their application. Finally, we will show some general ideas drawn from our research which are relevant for other topics.


Martin Preusse:  PhD in computational biology. Currently working on data solutions for biomedical research at Helmholtz Zentrum München and the startup KNOWING. Using Python and noSQL databases.

Gökcen Eraslan:  PhD student in computational biology at Helmholtz
Zentrum München with the main research focus of machine learning
applications to computational biology problems.

Suresh Pillai – Marketing Analytics – Putting the science into data science

Abstract: TBA

Bio: TBA

Hier findet Ihr mehr Informationen zu den Munich Datageeks und der Veranstaltung.


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