From 6e4cc8510e36f9b95ca1f85ff364bf22991aabfd Mon Sep 17 00:00:00 2001 From: mcanouil Date: Thu, 24 Nov 2022 23:09:50 +0000 Subject: [PATCH] Re-build README.Rmd --- README.md | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index 7e719060..0a14ac03 100644 --- a/README.md +++ b/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")`.