Presenter Information

Joseph BuccinnaFollow

Major

Chemistry

Anticipated Graduation Year

2021

Access Type

Open Access

Abstract

It is of long-standing interest to investigate the correlations within protein primary structures. Approaches across decades have looked primarily to alignment and database algorithms. We elect a different path by applying the Burrows-Wheeler transform (BWT) to archetypal proteins that include insulin, myoglobin, and lysozyme. We construct information-conserving transforms of protein sequences expressed by organisms placed at different points of the evolutionary tree. The transforms illuminate molecular evolution properties that are otherwise obscure in the sequences.

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This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

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A Study of the Internal Correlations of Protein Sequences Using Non-Alignment Methods: Application of the Burrows-Wheeler Transform

It is of long-standing interest to investigate the correlations within protein primary structures. Approaches across decades have looked primarily to alignment and database algorithms. We elect a different path by applying the Burrows-Wheeler transform (BWT) to archetypal proteins that include insulin, myoglobin, and lysozyme. We construct information-conserving transforms of protein sequences expressed by organisms placed at different points of the evolutionary tree. The transforms illuminate molecular evolution properties that are otherwise obscure in the sequences.