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
)Microbial Community Analysis
Bioinformatic tools
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:
This course is based on part of my thesis work
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
More informations about my work :
Getting started
This is the third session of the bioinformatics tools course
- All resources: GitHub/tbadet
- Code: here
- Presentation: The presentation is available here
- 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.
