AlignScape, displaying sequence similarity using self-organizing maps

AlignScape, displaying sequence similarity using self-organizing maps

The current richness of sequence data needs efficient methodologies to display and analyze the complexity of the information in a compact and readable manner. Traditionally, phylogenetic trees and sequence similarity networks have been used to display and analyze sequences of protein families. These...

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Bibliographic Details
Main Authors: Isaac Filella-Merce, Vincent Mallet, Eric Durand, Michael Nilges, Guillaume Bouvier, Riccardo Pellarin
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Bioinformatics
Subjects:
self-organizing maps (SOM)
sequence similarity landscape
protein sequence analysis
protein sequence visualization
human kinome
human GPCRs
Online Access:https://www.frontiersin.org/articles/10.3389/fbinf.2024.1321508/full

Internet

https://www.frontiersin.org/articles/10.3389/fbinf.2024.1321508/full

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