Using sound to understand protein sequence data: new sonification algorithms for protein sequences and multiple sequence alignments

Using sound to understand protein sequence data: new sonification algorithms for protein sequences and multiple sequence alignments

Abstract Background The use of sound to represent sequence data—sonification—has great potential as an alternative and complement to visual representation, exploiting features of human psychoacoustic intuitions to convey nuance more effectively. We have created five parameter-mapping sonification al...

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Bibliographic Details
Main Authors: Edward J. Martin, Thomas R. Meagher, Daniel Barker
Format: Article
Language:English
Published: BMC 2021-09-01
Series:BMC Bioinformatics
Subjects:
Sonification
Sequence analysis
Protein sequence
Multiple sequence alignment
Raspberry Pi
Sonic Pi
Online Access:https://doi.org/10.1186/s12859-021-04362-7

Internet

https://doi.org/10.1186/s12859-021-04362-7

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