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Microreact analysis

KA Kaleb Abram
ZU Zulema Udaondo
CB Carissa Bleker
VW Visanu Wanchai
TW Trudy M. Wassenaar
MI Michael S. Robeson, II
DU David W. Ussery
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Microreact22 was utilized to visualize the resultant clustering of the Mash data, as this provides an easy and fast medium to further explore the results of the analysis. To leverage the search capabilities of Microreact, we mapped metadata found for our dataset from the database PATRIC23 (downloaded on 20 June 2019). This allows the exploration of our results using a number of shared characteristics and queries such as “geographic location” or “serovar,” which, although outside the scope of the current study, could be used as a topic for future analyses to increase our understanding of E. coli species. In addition, to enable easy comparison between established phylogroup predicting methods, we have provided columns containing the results of the ClermonTyping24 method on our dataset.

Copyright and License information: The Author(s) ©2021
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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