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

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 algorithms...

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Bibliographic Details
Main Authors: Barker, D. (Author), Martin, E.J (Author), Meagher, T.R (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Acoustics
adult
algorithm
Algorithms
amino acid sequence
Amino Acid Sequence
article
bioinformatics
Bioinformatics
Conveying
Feedback
female
Focus groups
genetics
human
human experiment
Humans
male
Multiple sequence alignment
Multiple sequence alignments
nonhuman
protein
Protein sequence
Protein sequence data
Protein sequences
Proteins
qualitative research
Qualitative research
questionnaire
raspberry
Raspberry pi
Raspberry Pi
sequence alignment
Sequence Alignment
sequence analysis
Sequence analysis
Sonic pi
Sonic Pi
Sonification
Sonifications
sound
Sound
Surveys
ultrasound
Users' experiences
Visualisation
Visualization
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