<p>Molecular information theory of composite sequence motifs</p>

Elia Mascolo; Ivan Erill

doi:10.7490/f1000research.1120047.1

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Mascolo E and Erill I. Molecular information theory of composite sequence motifs [version 1; not peer reviewed]. F1000Research 2024, 13:1468 (poster) (https://doi.org/10.7490/f1000research.1120047.1)

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Molecular information theory of composite sequence motifs

Elia Mascolo¹, Ivan Erill

Published 03 Dec 2024 (https://doi.org/10.7490/f1000research.1120047.1)

Author Affiliations

¹ Biological Sciences, University of Maryland Baltimore County, Baltimore, Maryland, USA

Copyright © 2024 Mascolo E and Erill I. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 03 Dec 2024

Molecular information theory of composite sequence motifs
[version 1; not peer reviewed]

Elia Mascolo¹, Ivan Erill

Author Affiliations

¹ Biological Sciences, University of Maryland Baltimore County, Baltimore, Maryland, USA

Presented at

Intelligent Systems for Molecular Biology Conference (ISMB), 2025

Abstract

Competing Interests

No competing interests were disclosed

Keywords

information theory, molecular evolution, sequence motifs, molecular machines, mutational robustness, transcriptional regulation

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