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.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License
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.