Natalia Nenasheva

siehe auch Professur für Bioinformatik

My interests include research of biological processes with the help of mathematical methods exploring metagenomics, annotating genomes, and conducting bioinformatic analysis in diverse fields. I'm also keen on streamlining the analysis of biological and medical data through automation. I am devoted to bioinformatic analysis, unraveling the secrets hidden in our DNA for a better understanding of life's intricacies and mysteries.

I am taking part in the Data Competency project and I am a lecturer on courses:

• Python From Zero
• Statistics with Python
• Bash, Git, Slurm

• 2022 : PhD student at the University of Greifswald
  Project: Gene prediction in eukaryotic proportions of metagenomes, Institute of Mathematics and Informatics, Prof. Dr. Mario Stanke Group
  Supervisor: PD Dr. Katharina Hoff 
• 2020 - 2022: M.Sc. Applied Mathematics and Physics, Department of Biological and Medical Physics, Moscow Institute of Physics and Technology. 
  Thesis title: Improving the quality of genetic characterization using pressure sequencing.
  Supervisor: Prof. Vsevolod Makeev, Department of Computational Biology at VIGG (Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia)
• 2016 - 2020: B.Sc. Applied Mathematics and Physics, Department of Biological and Medical Physics, Moscow Institute of Physics and Technology.
  Thesis title: Development of an algorithm for determining somatic inactivation of the second allele of a gene carrying a germline pathogenic mutation in cancer. 
  Supervisors: Dr. Felix Frenkel, Dr. Olga Kudryashova (Boston Gene, Moscow, Russia)