Intriguing symmetry in statistical structures of Siberian larch transcriptome
Michael G. Sadovsky, Vladislav V. Birukov, Yuliya A. Putintseva, and Konstantin V. Krutovsky
TL;DR
This study uncovers unexpected symmetrical patterns in the statistical and combinatorial properties of Siberian larch transcriptome sequences, revealing novel structural insights into plant genomics.
Contribution
It introduces a new approach to analyze structuredness in symbol sequences and reports unexpected symmetries in Siberian larch transcriptome data.
Findings
Discovered unexpected symmetries in triplet frequency distributions
Revealed novel statistical and combinatorial properties of the transcriptome
Provided insights into the structuredness of plant transcriptomes
Abstract
The paper presents a novel approach to infer a structuredness in a set of symbol sequences such as transcriptome nucleotide sequences. A distribution pattern of triplet frequencies in the Siberian larch (\textit{Larix sibirica}~Ledeb.) transcriptome sequences was investigated in the presented study. It was found that the larch transcriptome demonstrates a number of unexpected symmetries in the statistical and combinatorial properties.
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Taxonomy
TopicsGenomics and Phylogenetic Studies · Machine Learning in Bioinformatics · Gene expression and cancer classification