-```{=html}
-
-
-```
-
-
-- The image above clearly shows that no samples were trying to be mavericks and all the samples behave similarly. All the samples above are quality samples at least based on spectrophotometry and ONLY gel electrophoresis rRNA band intensity can tell more about sample quality.
+- The image above clearly shows that no samples were trying to be
+ mavericks and all the samples behave similarly. All the samples above
+ are quality samples at least based on spectrophotometry and ONLY gel
+ electrophoresis rRNA band intensity can tell more about sample
+ quality.
-
-```r
+``` r
#PLOT dark mode-rnaspec2018.csv 'strict'
library(ggplot2)
library(plotly)
@@ -143,19 +164,48 @@ saveWidget(ggplotly(rnaqcplot), file = "rnaplot.html", selfcontained = F, libdir
ggplotly(rnaqcplot)
```
-
-```{=html}
-
-
-```
-
+
## Conclusion
-- Finally, a programmatic solution to the problem of RNA quality checking.
-- As always, credit to the Denovix team for making a machine that performs RNA QC checking. As always, these products come within their scope and programmers like me have to push this envelope in order to gain insight on these experiments hence tidyDenovix.
-- Thanks for the support in advance, on to the next one.
+- Finally, a programmatic solution to the problem of RNA quality
+ checking.
+- As always, credit to the Denovix team for making a machine that
+ performs RNA QC checking. As always, these products come within their
+ scope and programmers like me have to push this envelope in order to
+ gain insight on these experiments hence tidyDenovix.
+- Thanks for the support in advance, on to the next one.
## References
-[@datatable] [@janitor] [@tidyverse]
+(Dowle and Srinivasan 2023) (Firke 2023) (Wickham et al. 2019)
+
+