{% extends "base_QC.html" %} {% import 'pcaReport.html' as pca %} {% import 'sampleReportChunk.html' as sampleReport %} {% 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.sampleSummary['Acquired'].to_html() }}

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

Sample Acquisition Structure

Samples acquired in {{ item['nBatchesCollect'] }} between {{ item['start'] }} and {{ item['end'] }}

Batch correction applied (LOESS regression fitted to SR samples in {{ item['nBatchesCorrect'] }}) for run-order correction and batch alignment

Figure 1. Sample Acquisition Structure.

Sample Acquisition Structure.

Feature Selection Summary

Features selected based on the following criteria:

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

Figure 2. TIC for all samples and all features in final dataset.

TIC for all samples and all features passing selection.

Figure 3. Feature Intensity Histogram for all samples and all features in final dataset (by sample type).

Feature Intensity Histogram for all samples and all features in final dataset (by sample type).

Figure 4. Residual Standard Deviation (RSD) distribution for all samples and all features in final dataset (by sample type).

Residual Standard Deviation (RSD) distribution for all samples and all features in final dataset (by sample type).

Figure 5. Ion map of all features (coloured by log median intensity).

Ion map of all features (coloured by log median intensity).
{% if pcaPlots %} {{ pca.basicPCAReport(pcaPlots) }} {% endif %} {{ sampleReport.sampleReport(item.sampleSummary) }} {% endblock %}