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Papers: 10.1038/s42003-021-01990-w

https://doi.org/10.1038/s42003-021-01990-w

Multi-omics phenotyping of the gut-liver axis reveals metabolic perturbations from a low-dose pesticide mixture in rats

Cited by: 26
Author(s): Robin Mesnage, Maxime Teixeira, Daniele Mandrioli, Laura Falcioni, Mariam Ibragim, Quinten R Ducarmon, Romy D. Zwittink, Caroline Amiel, Jean-Michel Panoff, Emma Bourne, Emanuel Savage, Charles A. Mein, Fiorella Belpoggi, Michael Antoniou
Published: over 5 years ago

Software Mentions 7

bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)
bioconductor: genomation
Summary, annotation and visualization of genomic data
Papers that mentioned: 17
Very Likely Science (100)
bioconductor: goseq
Gene Ontology analyser for RNA-seq and other length biased data
Papers that mentioned: 132
Very Likely Science (100)
bioconductor: tximport
Import and summarize transcript-level estimates for transcript- and gene-level analysis
Papers that mentioned: 367
Very Likely Science (100)
cran: PERMANOVA
Multivariate Analysis of Variance Based on Distances and Permutations
Papers that mentioned: 6,292
Very Likely Science (85)
cran: vegan
Community Ecology Package
Papers that mentioned: 6,903
Very Likely Science (100)
pypi: MetaPhlAn
MetaPhlAn is a computational tool for profiling the composition of microbial communities (Bacteria, Archaea and Eukaryotes) from metagenomic shotgun sequencing data (i.e. not 16S) with species-level. With the newly added StrainPhlAn module, it is now possible to perform accurate strain-level microbial profiling.
Papers that mentioned: 306
Very Likely Science (100)