EcoPLOT: dynamic analysis of biogeochemical data

Abstract Motivation We have created EcoPLOT (parameterized linkage of omics-driven technologies), a web-app for the dynamic, interactive analysis of biogeochemical datasets that combines state-of-the-art analysis tools to statistically and graphically explore environmental, geochemical and microbiom...

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Bibliographic Details
Published in:Bioinformatics (Oxford, England) England), 2022-02, Vol.38 (5), p.1480-1482
Main Authors: Sanchez, Christopher D, Brown, J Benjamin, Gal-Oz, Omree, Singer, Esther
Format: Article
Language:English
Subjects:
Algorithms
Applications Notes
BASIC BIOLOGICAL SCIENCES
Bioinformatics and Computational Biology
Biological Sciences
Data Interpretation, Statistical
Language
Microbiota
Science and Mathematics
Software
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Summary:Abstract Motivation We have created EcoPLOT (parameterized linkage of omics-driven technologies), a web-app for the dynamic, interactive analysis of biogeochemical datasets that combines state-of-the-art analysis tools to statistically and graphically explore environmental, geochemical and microbiome datasets. Using the iterative random forest, a machine learning algorithm, EcoPLOT allows for the de novo discovery of drivers which exhibit significant impact on plant, microbial or soil dynamics. Availability and implementation EcoPLOT is built entirely within the R language. It can be accessed through any system where R is installed, including Windows, Mac and most Linux systems. EcoPLOT is free to use and can be accessed at https://github.com/cdsanchez18/EcoPLOT.
ISSN:1367-4803
1367-4811
DOI:10.1093/bioinformatics/btab842