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, Corentin, Mustapha Arkoun, Fanny Leroy, Sylvie Girodet, Christophe Salon, and Marion Prudent. 2024. “Decoding the Double Stress Puzzle: Investigating Nutrient Uptake Efficiency and Root Architecture in Soybean Under Heat‐ and Water‐stresses.”
Maslard, Corentin, Mustapha Arkoun, Christophe Salon, and Marion Prudent. 2021. “Root Architecture Characterization in Relation to Biomass Allocation and Biological Nitrogen Fixation in a Collection of European Soybean Genotypes.”OCL 28: 48. https://doi.org/10.1051/ocl/2021033.
---comments: falseeditor_options: chunk_output_type: consolebibliography: references.bib---## Preface {.unnumbered}**Contributors:** [Corentin Maslard](https://cmaslard.xyz), postdoctoral researcher in [Joop E.M Vermeer lab team](https://www.unine.ch/biographie/joop-vermeer)**Advisor:**[Thomas Badet](https://www.unine.ch/sciences/biographie/thomas-badet)This course is an extension of my research work carried out in the [EcoLeg team](https://umr-agroecologie.dijon.hub.inrae.fr/recherche/poles-de-recherche/legae/equipe-ecoleg), under the supervision of [Marion Prudent](https://umr-agroecologie.dijon.hub.inrae.fr/personnels/chercheurs-enseignants-chercheurs/prudent-marion) with several publications directly related to this subject, presented below:- @maslard2021- @maslard_decoding_2024::: {.callout-note collapse="true"}## This course is based on part of my thesis workThe 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](https://cmaslard.xyz/phd_soybean_2021_2024/):::::: {.callout-tip}## Please feel free to contact me for:- Internship- Information- Help with your future analyses:::::::::: {.callout-note collapse="true"}## More informations about my work ::::::: columns::: {.column width="33%"}- [<img src="src/ico/icons8-plante-en-croissance-windows-11-color-96.ico" style="width: 20px; vertical-align: middle;"/> Personal website](https://cmaslard.xyz)- [{{< iconify fa6-solid:envelope >}} Email](mailto:corentin.maslard@unine.ch)- [{{< iconify fa6-brands github >}} Github](https://github.com/cmaslard)- [{{< iconify fa6-brands linkedin >}} Linkedin](https://www.linkedin.com/in/corentin-maslard):::::: {.column width="33%"}- [{{< iconify fa6-brands:orcid >}} ORCID](https://orcid.org/0000-0002-6951-1963)- [{{< iconify fa6-brands:researchgate >}} ResearchGate](https://www.researchgate.net/profile/Corentin-Maslard)- [{{< iconify academicons:google-scholar >}} Google Scholar](https://scholar.google.com/citations?user=TsztyiMAAAAJ&hl):::::: {.column width="33%"}- [{{< iconify fa6-brands square-x-twitter >}} X (Twitter)](https://x.com/cmaslard)- [{{< iconify academicons:hal >}} HAL](https://cv.hal.science/corentinmaslard)- [{{< iconify pepicons-pop:cv >}} CV](https://docs.google.com/document/d/1oCgrdjnAJuVjgocx3F2kmlbJxlqa6uWrSgqm5fWRhpA/edit?usp=sharing)::::::::::::::::## Getting startedThis is the third session of the [bioinformatics tools course](src/plan_2025-2026_3BL2194.pdf){target="_blank"}- All resources: [GitHub/tbadet](https://github.com/tbadet/teaching/tree/main/Bioinformatic_tools/Course_3)\- Code: [here](https://cmaslard.xyz/bioinformatic_tools_mcom_analyse/)- Presentation: <span style="color:red; ">The presentation will be available here at the end of the course</span>- 3-hour course → intro, data cleaning, analysis, and formatting::: {.callout-important}## No grading - just listen, follow, and ask questions!:::## Licence {.unnumbered}This document is made available under the terms of the [Licence Creative Commons Attribution - Non Commercial Use - Share Alike 4.0 International](http://creativecommons.org/licenses/by-nc-sa/4.0/).{width="160"}## Package used in this quarto document```{r, message=F, warning=F}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)```