diff --git a/docs.it4i/software/debuggers/cube.md b/docs.it4i/software/debuggers/cube.md
index 2c58f7a4399c161b17a75774c08d13f329f8a78f..e42a55fc4e7cbd416405d78c9bf2625807919552 100644
--- a/docs.it4i/software/debuggers/cube.md
+++ b/docs.it4i/software/debuggers/cube.md
@@ -2,13 +2,13 @@
 
 ## Introduction
 
-CUBE is a graphical performance report explorer for displaying data from Score-P and Scalasca (and other compatible tools). The name comes from the fact that it displays performance data in a three-dimensions :
+CUBE is a graphical performance report explorer for displaying data from Score-P and Scalasca (and other compatible tools). The name comes from the fact that it displays performance data in three dimensions:
 
-* **performance metric**, where a number of metrics are available, such as communication time or cache misses,
+* **performance metric**, where a number of metrics is available, such as communication time or cache misses,
 * **call path**, which contains the call tree of your program
 * **system resource**, which contains system's nodes, processes and threads, depending on the parallel programming model.
 
-Each dimension is organized in a tree, for example the time performance metric is divided into Execution time and Overhead time, call path dimension is organized by files and routines in your source code etc.
+Each dimension is organized in a tree, for example the time performance metric is divided into Execution time and Overhead time, call path dimension is organized by files and routines in your source code, etc.
 
 ![](../../img/Snmekobrazovky20141204v12.56.36.png)
 
@@ -25,12 +25,12 @@ Currently, there are two versions of CUBE 4.2.3 available as [modules][1]:
 
 ## Usage
 
-CUBE is a graphical application. Refer to Graphical User Interface documentation for a list of methods to launch graphical applications on Anselm.
+CUBE is a graphical application. Refer to the Graphical User Interface documentation for a list of methods to launch graphical applications on Anselm.
 
 !!! note
     Analyzing large data sets can consume large amount of CPU and RAM. Do not perform large analysis on login nodes.
 
-After loading the appropriate module, simply launch cube command, or alternatively you can use Scalasca -examine command to launch the GUI. Note that for Scalasca data sets, if you do not analyze the data with `scalasca -examine` before to opening them with CUBE, not all performance data will be available.
+After loading the appropriate module, simply launch the cube command, or alternatively you can use Scalasca -examine command to launch the GUI. Note that for Scalasca data sets, if you do not analyze the data with `scalasca -examine` before opening them with CUBE, not all performance data will be available.
 
 References
 1\.  [Download link][a]