correction of bibliography

.vscode/settings.json

@@ -0,0 +1,7 @@
+{
+    "workbench.colorCustomizations": {
+        "activityBar.background": "#253202",
+        "titleBar.activeBackground": "#344602",
+        "titleBar.activeForeground": "#F4FEDC"
+    }
+}

paper/paper.md

@@ -34,9 +34,9 @@ Several plateforms (referenced in @tedersoo2022) such as QIIME2 (@bolyen2019), m
 
 The metabarcoding ecosystem in the R language is mature, well-constructed, and relies on a very active community in both the [bioconductor](https://www.bioconductor.org/) and [cran](https://cran.r-project.org/) projects. The [bioconductor](https://www.bioconductor.org/) even creates specific task views in [Metagenomics](http://bioconductor.org/packages/release/BiocViews.html#___Metagenomics) and [Microbiome](http://bioconductor.org/packages/release/BiocViews.html#___Microbiome).
 
-R package [`dada2`](http://bioconductor.org/packages/release/bioc/html/dada2.html) [@callahan2016]  provides a highly cited and recommended clustering method [@pauvert2019]. [`phyloseq`](http://bioconductor.org/packages/release/bioc/html/phyloseq.html) [@mcmurdie2013] facilitate metagenomics analysis by providing a way to store data (the `phyloseq` class) and provides graphical and statistical functions. `MiscMetabar` is based on the `phyloseq` class from `phyloseq`, the most cited package in metagenomics [@wen2023]. For a description and comparison of other integrated packages competing with phyloseq, see @wen2023. Some packages already extend the phyloseq packages, in particular [`microbiome`](https://microbiome.github.io/) package collection [@ernst2023], the `speedyseq` package [@mclaren2020] and the package [phylosmith](https://schuyler-smith.github.io/phylosmith/) [@smith2023].
+R package [`dada2`](http://bioconductor.org/packages/release/bioc/html/dada2.html) [@callahan2016]  provides a highly cited and recommended clustering method [@pauvert2019]. [`phyloseq`](http://bioconductor.org/packages/release/bioc/html/phyloseq.html) [@mcmurdie2013] facilitate metagenomics analysis by providing a way to store data (the `phyloseq` class) and provides graphical and statistical functions. `MiscMetabar` is based on the `phyloseq` class from `phyloseq`, the most cited package in metagenomics [@wen2023]. For a description and comparison of other integrated packages competing with phyloseq, see @wen2023. Some packages already extend the phyloseq packages, in particular [`microbiome`](https://microbiome.github.io/) package collection [@ernst2023], the `speedyseq` package [@mclaren2020] and the package [phylosmith](https://schuyler-smith.github.io/phylosmith/) [@smith2019].
 
-![Table 1 : Important functions of MiscMetabar with their equivalent when available in other R packages.](figures_svg/table1.svg)
+![Table 1 : Important functions of MiscMetabar with their equivalent when available in other R packages: 1. Mia [@ernst2023]; 2. microViz [@Barnett2021]; 3. MicrobiotaProcess [@xu2023]; 4  Phylosmith [@smith2019].](figures_svg/table1.svg)
 
 `MiscMetabar` enriches this R ecosystem by providing functions to (i) **describe** your dataset visually, (ii) **transform** your data, (iii) **explore** biological diversity (alpha, beta, and taxonomic diversity), and (iv) simplify **reproducibility**. `MiscMetabar` is already used by the scientific community in several teams [@Vieira2021; @Pleic2022; @McCauley2022; @McCauley2023; @bouilloud2023; @vieira2023].
 

paper/paper_old.md

@@ -16,7 +16,7 @@ affiliations:
    index: 1
 
 date:  23 October 2023
-bibliography: paper.bib
+bibliography: paper_old.bib
 ---
 
 # Summary

vignettes/Reclustering.Rmd

@@ -5,7 +5,7 @@ vignette: >
   %\VignetteIndexEntry{Reclustering}
   %\VignetteEngine{knitr::rmarkdown}
   %\VignetteEncoding{UTF-8}
-bibliography: ../paper/paper.bib
+bibliography: ../paper/bibliography.bib
 ---
 
 ```{r, include = FALSE}