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Regular version of the site

IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2018 3-6 December 2018, Madrid

The laboratory staff Helen Tevanyan and Michal Rosenwald made oral and poster presentations at the international conference on bioinformatics and Biomedicine in Madrid. Mikhail Gelfand is the organizer and co-chair of the workshop "analysis and modeling of three-dimensional chromatin structure", held within the framework of the conference.

From 3 to 6 December in Madrid hosted the conference International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2018), which was attended by employees of the ZERO Bioinformatics - graduate student of 1 year of training program "Computer and information Sciences" Helen Tevanyan and 1st year student of the master's program "Analysis of data in biology and medicine" Michal Rosenwald

Ellen studies the role of secondary structures in chromatin reorganization. Workshop on Analysis and Modeling of the Three-dimensional Structure of Chromatin (AMTSC) she presented a paper on "Recognizing Patterns of Nucleosome Positioning and DNA Structures" (on the role of secondary structures in the regulation of the location of nucleosomes) and participated in the poster session. One of the moderators of the workshop was Mikhail Sergeyevich Gelfand, a leading researcher of the laboratory.

Michal, who presented the report "Prediction of 3D Chromatin Structure with Recurrent Neural Networks" at the workshop, shared her impressions: "I think a trip to the conference is a great opportunity to be in an inspiring environment of scientists and professionals from around the world. Was told a lot of reports on various bioinformatics tasks. A large number of papers were directly on the application of machine learning in genomics and various stages of medical research. It was particularly interesting to hear about the methods by which various laboratories integrated a priori biological knowledge into the construction of neural network architectures."

Conference program