Microbial Community Analysis

Bioinformatic tools

Author
Affiliation

UniNE

Published

October 10, 2025

Abstract
Resume of the course

Preface

Contributors: Corentin Maslard, postdoctoral researcher in Joop E.M Vermeer lab team

Advisor:Thomas Badet

This course is an extension of my research work carried out in the EcoLeg team, under the supervision of Marion Prudent with several publications directly related to this subject, presented below:

  • Maslard et al. (2021)
  • Maslard et al. (2024)

The complete repository of the project (documentation, data, script, etc.) will be available shortly at this link: https://github.com/cmaslard/phd_soybean_2021_2024/ and the overall project is presented here

Please feel free to contact me for:
  • Internship
  • Information
  • Help with your future analyses

Getting started

This is the third session of the bioinformatics tools course

  • All resources: GitHub/tbadet
  • Code: here
  • Presentation: The presentation will be available here at the end of the course
  • 3-hour course → intro, data cleaning, analysis, and formatting
No grading - just listen, follow, and ask questions!

Licence

This document is made available under the terms of the Licence Creative Commons Attribution - Non Commercial Use - Share Alike 4.0 International.

Package used in this quarto document

Code
library(renv) # install.packages("renv")
library(dplyr)

deps <- renv::dependencies(path = ".", progress = F, quiet = T)

unique_packages <- unique(deps$Package)
writeLines(unique_packages, here::here("src/packages_use_in_this_quarto.txt"))

data.frame(
  Package = unique_packages,
  Version = sapply(unique_packages, function(pkg) {
    tryCatch(as.character(packageVersion(pkg)), error = function(e) NA)
  }),
  stringsAsFactors = FALSE
) %>% 
  #knitr::kable(caption = "List of packages used in this document", row.names = FALSE)
  DT::datatable(.,
  filter = "top",
  class = 'cell-border stripe',
  rownames = FALSE
)