42nd Interdisciplinary school-conference "Information technologies and systems" ITIS, Kazan 25-30 September 2018
Laboratory staff Helen Tevanyan, Michal Rosenwald, Alexander Shein, Anton Zaikin, Maria Poptsova, Michael Gelfand took part in the conference. Mikhail Gelfand - head of the section "Bioinformatics".
On September 25-30, 2018, the 42nd Interdisciplinary school-conference "Information technologies and systems" was held at the Innopolis University in Kazan.
Laboratory staff made oral presentations:
1. Michael Gelfand, "The Anatomy Of The Fugue"
2. Pavel Mazin "Comparative analysis of the lipid composition of breast milk of primates and farm animals". Report on the section "Analysis of data in genomics". Head of section Mikhail Gelfand.
The staff of the laboratory of bioinformatics submitted 7 poster presentations. Expanded articles will be published by Itis 2018: proceedings Of the 42nd interdisciplinary school-conference of IITP RAS "Information technologies and systems 2018".- Moscow: Institute of information transmission problems. In 2018 (indexed in Russian).
1. Alexander Galitsyn, Vlada Zakharova, Ekaterina Khrameeva, Sergey Razin, Mikhail Gelfand, Sergey UlyanovHi Hi Hi-C single cells Drosophila melanogaster
2. Moldovan, Michael, Zoe Chervontsev, Gelfand Michael Editing mRNA of cephalopod molluscs as an example of preadaptation
3. Ksenia Cheloshkina and Maria PoptsovaA machine learning model to predict the breakpoints of the cancer based on the structural distributions of DNA
4. Michal Rozenwald, Ekaterina Khrameeva, Grigory Sapunov, Mikhail Gelfand3D chromatin structure prediction using recurrent neural networks
5. Alexey Shein and Maria Poptsova Recognition of 3 ' UTR stem-loop in linear transposons on the tree of life by machine learning methods
6. Helen Tevanyan and Maria PoptsovaMachine learning models for recognition of nucleosome positioning patterns and DNA structures
7. Maria Tutukina, Natalia Markelova, Tatiana Bessonova, Ulyana Shvyreva, Mikhail Gelfand, Olga OzolinAnticensura transcription in bacteria: transcriptional noise, is a tool for fine-tuning gene expression or source aksorn?