Back to Search Start Over

EcoPLOT: dynamic analysis of biogeochemical data.

Authors :
Sanchez CD
Brown JB
Gal-Oz O
Singer E
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.)

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