QC report for spike-in standards for selected samples.
Date: {{today}}
Samples analyzed in this report:
{% for sample_name in sample_names %}
- {{ sample_name }}
{% endfor %}
Measured abundance vs. expected concentration
Scatter plot of measured abundance (in counts) of ERCC transcripts
in log2 scale and their known concentration [attomoles/ul] in the
sample in log2 scale.
The number of undetected ERCC transcripts are noted in
the legend and are marked with gray points in the scatter plot. The
coefficient of determination (R-squared value) is calculated by
comparing measured abundance of ERCCs in the sample with known
concentration of ERCC spike-ins.
The histogram above the scatter plot shows the number of ERCCs per
input concentration. Missing ERCC transcripts are colored in gray.
The scatter plot helps to infer the following:
-
How well the RNA-seq experiment has measured the known concentration
of the spike-ins. The strength of this linear relationship is
described with coefficient of determination, which is the fraction
of variation in the dependent variable (measured abundance) that is
predictable from the independent variable (input concentration). In
general, values above 0.9 for example are considered ideal.
-
Whether the data spans the expected dynamic range (ERCC abundances
span a 2^20 dynamic range). Based on the limit of detection for the
experiment, one can identify and omit any endogenous genes in the
sample that are insufficiently expressed for reliable analysis.
{% for ercc_img in ercc_imgs %}
{% if ercc_img.path %}
{% else %}
No ERCC transcripts detected in {{ercc_img.sample_name}}.
{% endif %}
{% endfor %}