menuItem("Upload your data",tabName="Upload",icon=icon("upload")),
menuItemOutput("dymMenu")
)
)
body<-dashboardBody(
tabItems(
tabItem(tabName="Home",
tabBox(title="Welcome to Meta16S",id="tabset1",height="900px",width=12,
tabPanel("About",p("Meta16S is a web interface for the analysis of metagenomic data including the normalization,
the differential analysis and mutiple visualization.",style="font-family: 'times'; font-si16pt"),
p("Meta16S is based on DESeq2 R package",a("[Anders and Huber 2010]",href="http://www.ncbi.nlm.nih.gov/pubmed/20979621"),"for the analysis of metagenomic data, as suggested in",a("[McMurdie and Holmes 2014]",href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3974642/"),
". Meta16S robustly identifies the differential abundant genera with the Generalized Linear Model implemented in DESeq2",a("[Love 2014]",href="http://www.ncbi.nlm.nih.gov/pubmed/25516281"),".
Resulting p-values are adjusted according to the Benjamini and Hochberg procedure [Benjamini and Hochberg 1995].
The PCOA is performed with the",a("ade4 R package",href="http://pbil.univ-lyon1.fr/ade4/"),"and plots are generated with",a("ggplot2",href="http://ggplot2.org/"),"or",a("D3.js packages",href="http://d3js.org/"),".",style="font-family: 'times'; font-si16pt")),
tabPanel("Authors",h3("The main contributors to Meta16s:"),
tabPanel("Citing Meta16S",p("No papers about Meta16s have been published yet, but a manuscript is in preparation."),
p("For now, if you have any comments, questions or suggestions, or want to use meta16s please contact",a("Dr. Marie-Agnès Dillies",href="mailto:marie-agnes.dillies@pasteur.fr"),".",style="font-family: 'times'; font-si16pt; color:red")))),
tabBox(title="Welcome to Meta16S",id="tabset1",height="700",width=12,
tabPanel("About",p("Meta16S is a web interface for the analysis of metagenomic data including the normalization,
the differential analysis and mutiple visualization.",style="font-family: 'times'; font-si16pt"),
p("Meta16S is based on DESeq2 R package",a("[Anders and Huber 2010]",href="http://www.ncbi.nlm.nih.gov/pubmed/20979621"),"for the analysis of metagenomic data, as suggested in",a("[McMurdie and Holmes 2014]",href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3974642/"),
". Meta16S robustly identifies the differential abundant genera with the Generalized Linear Model implemented in DESeq2",a("[Love 2014]",href="http://www.ncbi.nlm.nih.gov/pubmed/25516281"),".
Resulting p-values are adjusted according to the Benjamini and Hochberg procedure [Benjamini and Hochberg 1995].
The PCOA is performed with the",a("ade4 R package",href="http://pbil.univ-lyon1.fr/ade4/"),"and plots are generated with",a("ggplot2",href="http://ggplot2.org/"),"or",a("D3.js packages",href="http://d3js.org/"),".",style="font-family: 'times'; font-si16pt")),
tabPanel("Authors",h3("The main contributors to Meta16s:"),
tabPanel("Citing Meta16S",p("No papers about Meta16s have been published yet, but a manuscript is in preparation.",style="font-family: 'times'; font-si16pt"),
p("For now, if you have any comments, questions or suggestions, or want to use meta16s please contact",a("Dr. Marie-Agnès Dillies",href="mailto:marie-agnes.dillies@pasteur.fr"),".",style="font-family: 'times'; font-si16pt; color:red"))
# conditionalPanel(condition="input.RadioPlotBi!='Nuage'", radioButtons("SensGraphBi","Sens du graph",choices=c("Vertical"="Vert","Horizontal"="Hori"))),
...
...
@@ -249,6 +333,8 @@ The PCOA is performed with the", a("ade4 R package",href="http://pbil.univ-lyon1