"text": "Clear Filters"
}
proteins_table = html.Div(
id="proteins-table-container",
style={
"minHeight": 100,
"margin": "0%"
},
children=[
DashTabulator(
id="proteins-table",
columns=T.gen_tabulator_columns(
col_names=[
"protein_names", "Fasta headers", "Score", "Intensity"
],
col_width=300,
),
options=tabulator_options,
downloadButtonType=downloadButtonType,
clearFilterButtonType=clearFilterButtonType,
)
],
)
plot_columns = [
# 'Peptide counts (all)',
# 'Peptide counts (razor+unique)',
# 'Peptide counts (unique)',
# 'Number of proteins', 'Sequence coverage [%]',
"Unique + razor sequence coverage [%]",
"Unique sequence coverage [%]",
"layout": "fitDataFill",
"height": "900px",
}
downloadButtonType = {"css": "btn btn-primary", "text":"Export", "type":"csv", "filename":"Metadata"}
clearFilterButtonType = {"css": "btn btn-outline-dark", "text":"Clear Filters"}
meta_table = html.Div(id='meta-table-container',
style={'minHeight': 100, 'margin': '0%'},
children=[
DashTabulator(id='meta-table',
columns=T.gen_tabulator_columns(
add_ms_file_col=True, add_color_col=True,
add_peakopt_col=True, add_ms_file_active_col=True
),
options=tabulator_options,
downloadButtonType=downloadButtonType,
clearFilterButtonType=clearFilterButtonType
)
])
options = [
{'label': 'Batch', 'value': 'Batch'},
{'label': 'Label', 'value': 'Label'},
{'label': 'Color', 'value': 'Color'},
{'label': 'Type', 'value': 'Type'},
{'label': 'Concentration', 'value': 'Concentration'},
]
_label = 'Metadata'
dcc.Dropdown(id='add-metab-ms-mode',
placeholder='Select ionization mode',
options=[{
'label': 'Positive',
'value': 'Positive'
}, {
'label': 'Negative',
'value': 'Negative'
}],
value='Negative'),
dcc.Dropdown(id='add-metab-groups', options=groups_options,
multi=True),
dcc.Loading(
DashTabulator(
id='add-metab-table',
columns=columns,
options=options,
clearFilterButtonType=clearFilterButtonType,
), ),
html.Button('Add selected metabolites to targets', id='add-metab'),
])
_label = 'Add Metabolites'
_layout = html.Div([html.H3('Add Metabolites'), add_metab_table])
_outputs = html.Div(
id='add-metab-outputs',
children=[html.Div(id={
'index': 'add-metab-output',
'type': 'output'
})])
"headerFilter": False,
"formatter": "color",
'width': '3px',
"headerSort": False
},
]
ms_table = html.Div(id='ms-table-container',
style={
'Height': 0,
'marginTop': '10%'
},
children=[
DashTabulator(
id='ms-table',
columns=columns,
options=options,
clearFilterButtonType=clearFilterButtonType)
])
_label = 'MS-Files'
_layout = html.Div([
html.H3('Upload MS-files'),
html.Div(du.Upload(
id='ms-uploader',
filetypes=['tar', 'zip', 'mzxml', 'mzml', 'mzXML', 'mzML'],
upload_id=uuid.uuid1(),
max_files=10000,
text='Upload mzXML/mzML files.'),
style={
"headerFilterLiveFilterDelay":3000,
"layout": "fitDataFill",
"height": "900px",
}
downloadButtonType = {"css": "btn btn-primary", "text":"Export", "type":"csv", "filename": "Targets"}
clearFilterButtonType = {"css": "btn btn-outline-dark", "text":"Clear Filters"}
pkl_table = html.Div(id='pkl-table-container',
style={'minHeight': 100, 'margin': '50px 50px 0px 0px'},
children=[
DashTabulator(id='pkl-table',
columns=T.gen_tabulator_columns(['peak_label', 'mz_mean','mz_width', 'rt', 'rt_min',
'rt_max', 'intensity_threshold', 'target_filename']),
options=tabulator_options,
downloadButtonType=downloadButtonType,
clearFilterButtonType=clearFilterButtonType
)
])
_label = 'Targets'
_layout = html.Div([
html.H3(_label),
dcc.Upload(
id='pkl-upload',
children=html.Div([
'Drag and Drop or ',
html.A('Select Files')