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Michael G. Sadovsky

Researcher at Siberian Federal University

Publications -  94
Citations -  373

Michael G. Sadovsky is an academic researcher from Siberian Federal University. The author has contributed to research in topics: Genome & Gene. The author has an hindex of 9, co-authored 84 publications receiving 304 citations. Previous affiliations of Michael G. Sadovsky include Russian Academy of Sciences.

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Maximum Entropy Method in Analysis of Genetic Text and Measurement of its Information Content

TL;DR: The information capacity in frequency dictionaries of nucleotide sequences is estimated through the efficiency of reconstruction of a longer frequency dictionary from a short one, performed by the maximum entropy method.
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Classification of Symbol Sequences over Their Frequency Dictionaries: Towards the Connection between Structure and Natural Taxonomy

TL;DR: The classifications of bacterial 16S RNA sequences developed over the real and transformed frequency dictionaries have been studied and a correlation between information patterns of nucleotide sequences and taxonomy of the bearer of the sequence was found.
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Comparison of Real Frequencies of Strings vs. the Expected Ones Reveals the Information Capacity of Macromoleculae.

TL;DR: The information capacity of nucleotide sequences is defined through the calculation of specific entropy of their frequency dictionary, which allows to distinguish the sequences both from the randons ones, and from those with high level of (rather simple) order.
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Genes, information and sense: complexity and knowledge retrieval.

TL;DR: Information capacity of nucleotide sequences measures the unexpectedness of a continuation of a given string of nucleotides, thus having a sound relation to a variety of biological issues.