Update README.md

Author: mjoppich

README.md

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 ## Plots and Scripts for scRNA-seq analysis
 
-scRNA-seq analysis becomes a standard technique to study biological systems.
-With decreasing costs for scRNA-seq experiments, experiments also become more and more complex.
-While the typical scRNA-seq analysis frameworks provide functionalities for the analysis of even such data sets, the workflow involves the use of a chain of provided functions.
-Moreover, default plots already provide specific insight into such complex data sets, but should also be enhanced, such that camera-ready fully interpretable plots are provided.
-
-We thus describe here a collection of plotting and analysis scripts for use in Seurat-based scRNA-seq data analyses.
-We first provide a collection of script blocks which allows for an easy basic analysis of scRNA-seq from Seurat object creation, filtering over dataset integration.
-Subsequently, we provide code blocks for the easy differential analysis of the obtained data sets, including visualizations.
-Finally, several visualizations not common to any scRNA-seq analysis framework are presented, such as the enhanced Heatmap and DotPlot.
-These, particularly, allow the user to specify how the shown values should be scaled, allowing the creation of condition-wise plots.
-
-With the PLO(SC)² framework the data analysis of scRNA-seq experiments becomes more stream-lined.
-This way, fellow researchers can directly apply the methods on their data.
+Background scRNA-seq analysis has become a standard technique for studying biological systems.
+As costs decrease, scRNA-seq experiments become increasingly complex. While typical scRNA-seq
+analysis frameworks provide basic functionality to analyze such data sets, downstream analysis and
+visualization become a bottleneck. Standard plots are not always suitable to provide specific insight into
+such complex data sets and should be extended to provide camera-ready, meaningful plots.
+
+Results With PLO(SC)², a collection of plotting and analysis scripts for use in Seurat-based scRNA-seq
+data analyses is presented, which are accessible for custom script-based analyses or within an R shiny
+app. The analysis scripts mainly provide a collection of code blocks which enable a comfortable basic
+analysis of scRNA-seq data from Seurat object creation, filtering, and over data set integration in less
+than 10 function calls. Subsequently, code blocks for performing differential and enrichment analyses and
+corresponding visualizations are provided. Finally, several enhanced visualizations are provided, such as
+the enhanced Heatmap, DotPlot and comparative Box-/Violin plots. These, particularly, allow the user to
+specify how the shown values should be scaled, allowing the accurate creation of condition-wise plots.
+
+Conclusion With the PLO(SC)² framework data analysis of scRNA-seq experiments is performed
+more comfortable and stream-lined, while visualizations are enhanced to be suitable for interpreting
+complex datasets. The PLO(SC)² scripts are available from GitHub, including a notebook showing how
+PLO(SC)² is applied within a script-based analysis, and an R shiny app.
 
 ![plosc_app](https://github.com/user-attachments/assets/5fb25448-b6fb-464e-9f11-02a13212d6d2)