--- a/README.rst	Fri Mar 23 10:47:17 2018 -0400
+++ b/README.rst	Wed Sep 19 05:49:06 2018 -0400
@@ -15,7 +15,7 @@
 
 -----------------------------------
 
-This tool, based on the goProfiles R package, performs statistical analysis of functional profiles. It is based on GO ontology and considers either a gene set ('Entrez’ Identifiers) or a protein set (Uniprot accession number) as input. 
+This tool, based on the goProfiles R package, performs statistical analysis of functional profiles. It is based on GO ontology and considers either a gene set ('Entrez’ Identifiers) or a protein set (Uniprot ID) as input. 
 
 You can choose one or more GO categories: 
 
@@ -23,8 +23,8 @@
 * Cellular Component (CC) 
 * Molecular Function (MF) 
 
-Functional profile at a given GO level is obtained by counting the number of identifiers having a hit in each category of this level (2 by default). Results are displayed as bar plots (with absolute or relative frequencies) and can be exported in pdf, png and jpeg formats; textual output with GO terms and their computed frequencies is also provided.  
+Functional profile at a given GO level is obtained by counting the number of identifiers having a hit in each category of this level (2 by default). Results are displayed as bar plots (with absolute or relative frequencies) and can be exported in pdf, png and jpeg formats.  
 
 For more details about GoProfiles, please read: Salicrú et al. Comparison of lists of genes based on functional profiles. BMC Bioinformatics. 2011;12:401.(https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-12-401)  
 
-If your type of identifiers is not supported (i.e. different from Uniprot and Entrez), please use the **ID Converter** tool in the ProteoRE section to convert your list of IDs first.
+If your type of identifiers is not supported (i.e. different form Uniprot and Entrez), please use the **ID Converter** component in the ProteoRE section to convert your list of IDs first.