{% extends "base_QC.html" %} {% import 'sampleReportChunk.html' as sampleReport %} {% import 'pcaReport.html' as pca %} {% block title %}Assay Summary Report For: {{ item.Name }}{% endblock %} {% block content %}

Final Dataset

{{ item['Nsamples'] }} samples

{{ item['Nfeatures'] }} features

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

Sample Summary

Table 1. Sample summary table.

{{ item.sampleSummary['Acquired'].to_html() }}

*Details of any missing/excluded study samples given at the end of the report.

Feature Summary

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

{{ item['batchesCorrect'] }}

Table 2. Feature summary table.

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

Table 3. Features selected based on the following criteria:

{{ item['FeatureSelectionTable'].to_html() }} {% if 'FeatureConcentrationDistributionFailing' in item %}

*Features not passing these criteria are reported and exported as part of the final dataset, however it should be noted that these are not detected or not present in sufficient concentration to be measured accurately, thus results should be interpreted accordingly.

{% endif %}

Figure 1. 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). {% if 'NfeaturesPassing' in item %}

*Features sorted by RSD in SP samples; with features passing selection (i.e., able to be accurately measured) above the line and those failing (i.e., not able to be accurately measured) below the line.

{% endif %}

Figure 2. Relative concentration distributions, for features passing selection (i.e., able to be accurately measured) in final dataset (by sample type).

{% for key, value in item['FeatureConcentrationDistributionPassing'].items() %} Relative concentration distributions, for features passing selection (i.e., able to be accurately measured) in final dataset (by sample type). {% endfor %}
{% if 'FeatureConcentrationDistributionFailing' in item %}

Figure 3. Relative concentration distributions, for features failing selection (i.e., not detected, or not able to be accurately measured) in final dataset (by sample type).

{% for key, value in item['FeatureConcentrationDistributionFailing'].items() %} Relative concentration distributions, for features failing selection (i.e., not detected, or not able to be accurately measured) in final dataset (by sample type). {% endfor %}
{% endif %} {% if pcaPlots %} {{ pca.basicPCAReport(pcaPlots) }} {% endif %} {% if 'StudySamples Exclusion Details' in item.sampleSummary %}

Missing/Excluded Study Samples

Table 4. Details of missing/excluded study samples.

{{ item.sampleSummary['StudySamples Exclusion Details'].to_html() }} {% endif %} {% endblock %}