## ==================================================================================== ##
# Pepliner: App for visualizing protein elution data
#
# Modified 2018 from the original GNUpl3 by Claire D. McWhitei <claire.mcwhite@utexas.edu>
# Original Copyright (C) 2016 Jessica Minnier, START Shiny Transcriptome Analysis Tool
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
## ==================================================================================== ##
##
##
## # This tab is used to input the count or normalized data files
tabPanel("Input Data",
fluidRow(column(4,wellPanel(
downloadLink("instructionspdf",label="Download Instructions (pdf)"),
radioButtons('data_file_type','Use example file or upload your own data',
c('Upload Data'="upload",
'Pepliner RData file'="previousrdata",
'Example Data'="examplecounts"
), selected = "examplecounts"),
conditionalPanel(condition="input.data_file_type=='previousrdata'",
fileInput('rdatafile','Upload Pepliner App Generated RData File'),
conditionalPanel("output.fileUploaded",h4(strong("Check data contents then click Submit")))
),
conditionalPanel(condition="input.data_file_type=='upload'",
radioButtons("inputdat_type","Input data type:",
c("Peptides"="peps",
"Proteins"="prots")),
conditionalPanel(condition="input.data_file_type=='upload'",
radioButtons("inputdat_format", "Input data format:",
c("Tidy"="tidy",
"Wide matrix"="wide")),
conditionalPanel(condition="input.inputdat_type=='peps' && input.inputdat_format=='wide'",
downloadLink("example_peptide_analysis_file",label="Download Example Peptide Count file"),
p(""),
img(src="exampleanalysisdata.png",width="100%"),
tags$ul(
tags$li("File must have a header row."),
tags$li("First/Left-hand column must be peptide sequence"),
tags$li("Second column must be protein ID"),
tags$li("Fraction names in right hand columns")
)
),
conditionalPanel(condition="input.inputdat_type=='peps' && input.inputdat_format=='tidy'",
downloadLink("example_peptide_counts_matrix_file",label="Download Example Peptide Count file"),
p(""),
img(src="example_peptide_counts_tidy.png",width="100%"),
tags$ul(
tags$li("File must have a header row."),
tags$li("First/Left-hand column must be peptide sequences."),
tags$li("Second column must be protein IDs"),
tags$li("Third column must be fraction name"),
tags$li("Fourth column must be value (ex. spectral counts)")
)
),
conditionalPanel(condition="input.inputdat_type=='prots' && input.inputdat_format=='wide'",
downloadLink("example_protein_analysis_file",label="Download Example Protein Count file"),
p(""),
img(src="exampleanalysisdata.png",width="100%"),
tags$ul(
tags$li("File must have a header row."),
tags$li("First/Left-hand column must be called 'ID' and contain row IDs"),
tags$li("Fraction names in right hand columns")
)
),
conditionalPanel(condition="input.inputdat_type=='prots_tidy' && input.inputdat_format=='wide'",
downloadLink("example_protein_counts_matrix_file",label="Download Example Peptide Count file"),
p(""),
img(src="example_protein_counts_tidy.png",width="100%"),
tags$ul(
tags$li("File must have a header row."),
tags$li("First/Left-hand column must be protein sequences."),
tags$li("Third column must be fractionID"),
tags$li("Fourth column must be value (ex. spectral counts)")
)
),
fileInput('datafile', 'Choose File Containing Data (.CSV)',
accept=c('text/csv',
'text/comma-separated-values,text/plain',
'.csv')),
conditionalPanel(condition = "input.inputdat_type=='peps'",
fileInput('proteomefile', 'Choose Fasta file containing sequence IDs matching data file IDs)',
accept=c('fa/fasta',
'.fa',
'.fasta'))
)
) #End condition=upload
),
conditionalPanel("output.fileUploaded",
actionButton("upload_data","Submit Data",
style="color: #fff; background-color: #BF5700; border-color: #9E0000"))
)#,
# add reference group selection
# add instructions
# missing value character?
),#column
column(8,
bsCollapse(id="input_collapse_panel",open="data_panel",multiple = FALSE,
bsCollapsePanel(title="Data Contents: Wait for upload and check Before `Submit`",value="data_panel",
dataTableOutput('countdataDT')
),
bsCollapsePanel(title="Proteome Contents: Wait for upload and check Before `Submit`",value="proteome_panel",
dataTableOutput('proteomeDT')
),
bsCollapsePanel(title="Analysis Results: Ready to View Other Tabs",value="analysis_panel",
downloadButton('downloadResults_CSV','Save Results as CSV File'),
downloadButton('downloadResults_RData',
'Save Results as START RData File for Future Upload',
class="mybuttonclass"),
dataTableOutput('analysisoutput'),
tags$head(tags$style(".mybuttonclass{background-color:#BF5700;} .mybuttonclass{color: #fff;} .mybuttonclass{border-color: #9E0000;}"))
)
)#bscollapse
)#column
)#fluidrow
)#tabpanel
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