FELLA: Interpretation and Enrichment for Metabolomics Data

Author

Sergio Picart-Armada [aut, cre], Francesc Fernandez-Albert [aut], Alexandre Perera-Lluna [aut]

Published

February 2, 2021

Overview

FELLA is an R package designed for the enrichment of metabolomics data using KEGG entries. Given a set of affected compounds, FELLA suggests related reactions, enzymes, modules, and pathways through label propagation in a knowledge model network. The resulting subnetwork can be visualized and exported.

This package is maintained by Sergio Picart-Armada <sergi.picart at upc.edu>

Installation

To install FELLA, start R (version 4.4 or later) and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("FELLA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("FELLA")

Available vignettes include:

Example: a fatty liver study on Mus musculus
Example: oxybenzone exposition in gilt-head bream
FELLA
Quick start

The reference manual and news updates are also available.

Citation:

From within R, enter citation(“FELLA”):
Picart-Armada S, Fernandez-Albert F, Vinaixa M, Yanes O, Perera-Lluna A (2018). “FELLA: an R package to enrich metabolomics data.” BMC Bioinformatics, 19(1), 538. doi:10.1186/s12859-018-2487-5.
Picart-Armada S, Fernandez-Albert F, Vinaixa M, Rodriguez MA, Aivio S, Stracker TH, Yanes O, Perera-Lluna A (2017). “Null diffusion-based enrichment for metabolomics data.” PLOS ONE, 12(12), e0189012. doi:10.1371/journal.pone.0189012.

For more information, visit the Bioconductor page for FELLA.