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Mikhail Gelfand

Mikhail Sergeyevich Gelfand is a Russian bioinformaticist and molecular biologist. He is a member of Academia Europaea, Vice President Biomedical Research of Skolkovo Institute of Science and Technology, one of the founder of Dissernet plagiarism fighting society and a political activist, former member of Russian Opposition Coordination Council. He is a grandson of a prominent Soviet mathematician Israel Gelfand.

Awards and honors
In 2022, Gelfand was elected as a Fellow of the International Society for Computational Biology. ==Selected works ==
Selected works
• Gelfand M. S. Statistical analysis of mammalian pre-mRNA splicing sites // Nucleic Acids Research. 1989. V. 17. N. 15. 6369–6382. • Gelfand M. S. Computer prediction of the exon-intron structure of mammalian pre-mRNAs // Nucleic Acids Research. 1990. Y. 18. N. 19. P. 5865–5869. • Gelfand M. S. Statistical analysis and prediction of the exonic structure of human genes // Journal of Molecular Evolution. 1992. Y. 35. N. 2. P. 239–252. • Gelfand M. S. Genetic language: metaphore or analogy // BioSystems. 1993. V. 30. P. 277—288 • Pevzner Р. А., Gelfand M. S., eds. Computer Genetics. A special issue on computational molecular biology // BioSystems. 1993. V. 30. • Gelfand M. S., Mironov A. A., Pevzner P. A. Spliced alignment: a new approach to gene recognition // Lecture Notes in Computer Science. 1996. V. 1075. P. 141–158. • Gelfand M. S., Mironov A. A., Pevzner P. A. Gene recognition via spliced sequence alignment // Proceedings of the National Academy of Sciences. 1996. V. 93. P. 9061–9066. • Gelfand M. S., Koonin E. V. Avoidance of palindromic words in bacterial and archaeal genomes: a close connection with restriction enzymes // Nucleic Acids Research. 1997. V. 27. P. 2430–2439. • Sze S.-H, Roytberg М. А., Gelfand M. S., Mironov A. A., Astakhova T. V., Pevzner P. A. Algorithms and software for support of gene identification experiments // Bioinformatics • Mironov A. A., Roytberg M. A., Pevzner P. A., Gelfand M. S. Performance guarantee gene predictions via spliced alignment // Genomics ==References==
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