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Journal Article

Methods of Combinatorial Optimization to Reveal Factors Affecting Gene Length

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Bolshoy,  Alexander
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Citation

Bolshoy, A., & Tatarinova, T. (2012). Methods of Combinatorial Optimization to Reveal Factors Affecting Gene Length. Bioinformatics and Biology Insights, 6, 317-327. doi:10.4137/BBI.S10525.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000E-E886-4
Abstract
In this paper we present a novel method for genome ranking according to gene lengths. The main outcomes described in this paper are the following: the formulation of the genome ranking problem, presentation of relevant approaches to solve it, and the demonstration of preliminary results from prokaryotic genomes ordering. Using a subset of prokaryotic genomes, we attempted to uncover factors affecting gene length. We have demonstrated that hyperthermophilic species have shorter genes as compared with mesophilic organisms, which probably means that environmental factors affect gene length. Moreover, these preliminary results show that environmental factors group together in ranking evolutionary distant species.