Re-build README.Rmd

README.md

@@ -49,25 +49,25 @@ an interactive web application.
 With the use of two functions, RCC files are summarised and visualised,
 namely: `load_rcc()` and `visualise()`.
 
--   The `load_rcc()` function is used to preprocess the data.
--   The `visualise()` function initiates a [Shiny-based
-    dashboard](https://shiny.rstudio.com/) that visualises all relevant
-    QC plots.
+- The `load_rcc()` function is used to preprocess the data.
+- The `visualise()` function initiates a [Shiny-based
+  dashboard](https://shiny.rstudio.com/) that visualises all relevant QC
+  plots.
 
 *NACHO* also includes a function `normalise()`, which (re)calculates
 sample specific size factors and normalises the data.
 
--   The `normalise()` function creates a list in which your settings,
-    the raw counts and normalised counts are stored.
+- The `normalise()` function creates a list in which your settings, the
+  raw counts and normalised counts are stored.
 
 In addition (since v0.6.0) *NACHO* includes two (three) additional
 functions:
 
--   The `render()` function renders a full quality-control report (HTML)
-    based on the results of a call to `load_rcc()` or `normalise()`
-    (using `print()` in a Rmarkdown chunk).
--   The `autoplot()` function draws any quality-control metrics from
-    `visualise()` and `render()`.
+- The `render()` function renders a full quality-control report (HTML)
+  based on the results of a call to `load_rcc()` or `normalise()` (using
+  `print()` in a Rmarkdown chunk).
+- The `autoplot()` function draws any quality-control metrics from
+  `visualise()` and `render()`.
 
 For more `vignette("NACHO")` and `vignette("NACHO-analysis")`.