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EcoPLOT: dynamic analysis of biogeochemical data.
- Source :
-
Bioinformatics (Oxford, England) [Bioinformatics] 2022 Feb 07; Vol. 38 (5), pp. 1480-1482. - Publication Year :
- 2022
-
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.<br />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.<br /> (© The Author(s) 2021. Published by Oxford University Press.)
- Subjects :
- Algorithms
Language
Data Interpretation, Statistical
Software
Microbiota
Subjects
Details
- Language :
- English
- ISSN :
- 1367-4811
- Volume :
- 38
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Bioinformatics (Oxford, England)
- Publication Type :
- Academic Journal
- Accession number :
- 34927685
- Full Text :
- https://doi.org/10.1093/bioinformatics/btab842