webinterface.pages.base_pages.quant_tabs.tab3_indepth_plots module#

Tab 3 (2.5): In-depth plots for current data in the Quant module.

webinterface.pages.base_pages.quant_tabs.tab3_indepth_plots.create_pmultiqc_report_section(performance_data: DataFrame) → str[source]#

Create a section in the Streamlit app to display the pMultiQC report.

webinterface.pages.base_pages.quant_tabs.tab3_indepth_plots.display_pmultiqc_report(performance_data: DataFrame, sample_name: str) → None[source]#
webinterface.pages.base_pages.quant_tabs.tab3_indepth_plots.generate_indepth_plots(module, variables, parsesettingsbuilder, user_input, public_id: str | None, public_hash: str | None) → Figure[source]#

Generate and return plots based on the current benchmark data in Tab 2.5.

Parameters:

  • public_id (Optional[str], optional) – The dataset to plot, either “Uploaded dataset” or name of public run.

  • public_hash (Optional[str], optional) – The hash of the selected public dataset. If None, the uploaded dataset is displayed.

Returns:

The generated plots for the selected dataset.

Return type:

go.Figure

webinterface.pages.base_pages.quant_tabs.tab3_indepth_plots.generate_sample_name(user_input: str) → str[source]#

Generate a unique sample name based on the input format, software name used and the current timestamp.

Returns:

The generated sample name.

Return type:

str

webinterface.pages.base_pages.quant_tabs.tab3_indepth_plots.show_download_button(html_content: str, disabled: bool, sample_name: str) → None[source]#

Display a download button for the pMultiQC report.