{% extends "base_QC.html" %} {% import 'featureDistributionReport.html' as fdPlots %} {% import 'pcaReport.html' as pca %} {% block title %}Assay Summary Report for: {{ item.Name }}{% endblock %} {% block content %}

Final Dataset

{{ item['Nsamples'] }} samples

{{ item['Nfeatures'] }} features

Sample Summary

Sample Summary Table

{{ item['SampleSummaryTable'].to_html() }}

*Details of any missing samples given at the end of the report

PCA scores plots coloured by sample type.

Figure 1. RSDs of measures in reference and biological samples.

Dataset Internal Correlations

{% if 'comparison' in item %}

Heatmaps of internal correlations between subfractions. Values above the diagonal are differences from correlations in a reference dataset, values below the diagonal are raw correlations.

{% endif %} {% for key, value in item.correlationPlots|dictsort %}
Heatmap of internal correlations for {{ key }} BI-LISA components.

Figure {{ value.counter }}. Heatmap of internal correlations for {{ key }} BI-LISA components.

{% endfor %}
{% if featureRanges is not none %} {{ fdPlots.featureDistributionReport(featureRanges) }} {% endif %} {% if pcaPlots is not none %} {{ pca.basicPCAReport(pcaPlots) }} {% endif %}
{% if 'SamplesMissingInfo' in item %}

Samples Missing from Acquisition

{% elif 'SamplesExcludedInfo' in item %}

Samples Missing from Acquisition

{% endif %} {% if 'SamplesMissingInfo' in item %}

Samples unavailable for acquisition

{{ item['SamplesMissingInfo'].to_html() }} {% endif %} {% if 'SamplesExcludedInfo' in item %}

Samples excluded on analytical criteria

{{ item['SamplesExcludedInfo'].to_html() }} {% endif %}
{% endblock %}