itol.toolkit accelerates working with iTOL (Interactive Tree of Life) by an automated generation of annotation files

SUMMARY: iTOL is a powerful and comprehensive phylogenetic tree visualization engine. However, adjusting to new templates can be time-consuming, especially when many templates are available. We developed an R package namely itol.toolkit to help users generate all 23 types of annotation files in iTOL...

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Detalles Bibliográficos
Autores principales: Zhou, Tong, Xu, Kuidong, Zhao, Feng, Liu, Weiyue, Li, Longzhao, Hua, Zhongyi, Zhou, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243930/
https://www.ncbi.nlm.nih.gov/pubmed/37225402
http://dx.doi.org/10.1093/bioinformatics/btad339
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author Zhou, Tong
Xu, Kuidong
Zhao, Feng
Liu, Weiyue
Li, Longzhao
Hua, Zhongyi
Zhou, Xin
author_facet Zhou, Tong
Xu, Kuidong
Zhao, Feng
Liu, Weiyue
Li, Longzhao
Hua, Zhongyi
Zhou, Xin
author_sort Zhou, Tong
collection PubMed
description SUMMARY: iTOL is a powerful and comprehensive phylogenetic tree visualization engine. However, adjusting to new templates can be time-consuming, especially when many templates are available. We developed an R package namely itol.toolkit to help users generate all 23 types of annotation files in iTOL. This R package also provides an all-in-one data structure to store data and themes, accelerating the step from metadata to annotation files of iTOL visualizations through automatic workflows. AVAILABILITY AND IMPLEMENTATION: The manual and source code are available at https://github.com/TongZhou2017/itol.toolkit
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spelling pubmed-102439302023-06-07 itol.toolkit accelerates working with iTOL (Interactive Tree of Life) by an automated generation of annotation files Zhou, Tong Xu, Kuidong Zhao, Feng Liu, Weiyue Li, Longzhao Hua, Zhongyi Zhou, Xin Bioinformatics Applications Note SUMMARY: iTOL is a powerful and comprehensive phylogenetic tree visualization engine. However, adjusting to new templates can be time-consuming, especially when many templates are available. We developed an R package namely itol.toolkit to help users generate all 23 types of annotation files in iTOL. This R package also provides an all-in-one data structure to store data and themes, accelerating the step from metadata to annotation files of iTOL visualizations through automatic workflows. AVAILABILITY AND IMPLEMENTATION: The manual and source code are available at https://github.com/TongZhou2017/itol.toolkit Oxford University Press 2023-05-24 /pmc/articles/PMC10243930/ /pubmed/37225402 http://dx.doi.org/10.1093/bioinformatics/btad339 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Zhou, Tong
Xu, Kuidong
Zhao, Feng
Liu, Weiyue
Li, Longzhao
Hua, Zhongyi
Zhou, Xin
itol.toolkit accelerates working with iTOL (Interactive Tree of Life) by an automated generation of annotation files
title itol.toolkit accelerates working with iTOL (Interactive Tree of Life) by an automated generation of annotation files
title_full itol.toolkit accelerates working with iTOL (Interactive Tree of Life) by an automated generation of annotation files
title_fullStr itol.toolkit accelerates working with iTOL (Interactive Tree of Life) by an automated generation of annotation files
title_full_unstemmed itol.toolkit accelerates working with iTOL (Interactive Tree of Life) by an automated generation of annotation files
title_short itol.toolkit accelerates working with iTOL (Interactive Tree of Life) by an automated generation of annotation files
title_sort itol.toolkit accelerates working with itol (interactive tree of life) by an automated generation of annotation files
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243930/
https://www.ncbi.nlm.nih.gov/pubmed/37225402
http://dx.doi.org/10.1093/bioinformatics/btad339
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