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Phylocanvas.gl: A WebGL-powered JavaScript library for large tree visualisation

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 02 Jul 2021Publisher:Center for Open Science
Authors: Khalil Abudahab; Anthony Underwood; Ben Taylor; Corin Yeats; David M. Aanensen;

doi: 10.31219/osf.io/nfv6m

Phylocanvas.gl: A WebGL-powered JavaScript library for large tree visualisation

Abstract

Here we present a new implementation of Phylocanvas, written to incorporate WebGL (Web Graphics Library), a JavaScript API to render graphics in most modern web browsers without the use of plug-ins. WebGL allows GPU-accelerated image processing as part of the web page canvas thereby enabling Phylocanvas.gl to both render very large trees and allow interactivity via Javascript events. The primary result of this is that rendering the tree is much quicker compared to using the HTML canvas element allowing trees of 100K+ nodes to be displayed

Keywords

Bioinformatics, Computer Sciences, Graphics and Human Computer Interfaces, Physical Sciences and Mathematics, Life Sciences

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
hybrid