README

README.md

@@ -8,9 +8,7 @@ Such a gene list may be used for identifying candidate genes connected to
 a specific disease, but also may be used to compile a targeted
 exome design for sequencing. 
 
-A quick example of a result for a search for pancreatic cancer genes
-that were not listed in an exome design can be seen
-[here](http://biobeat.org/examples/pancreatic_minus_new_design.html).
+A quick example 
 
 | gene  | textmatch | description                           | context | resource | doi |
 | ----- | --------- | ------------------------------------- | ------- | --- | --- |
@@ -19,11 +17,16 @@ that were not listed in an exome design can be seen
 Here, the second column shows the fuzzy text match, the first column the
 official HUGO name, the third column a description of the gene, the
 fourth column the textual context in the publication, the fifth column
-the title of the publication and the sixth column the DOI. The second
-entry for AM is a false positive; quickly seen by checking the
-context in the fourth column. This output is generated by a SPARQL
-query and a lot of flexibility in combining resources and generating
-output is possible.  Note that this is just one example.
+the title of the publication and the sixth column the DOI. 
+
+A complete result for a search for pancreatic cancer genes that were not
+listed in an exome design can be seen
+[here](http://biobeat.org/examples/pancreatic_minus_new_design.html).
+In this table the second entry for AM is a false positive; quickly
+seen by checking the context in the fourth column (AM refers to author
+initials). This output is generated by a SPARQL query and a lot of
+flexibility in combining resources and generating output is possible.
+Note that this is just one example.
 
 The inputs for Exominer consists of a list of Pubmed IDs with text files (PDF,
 HTML, Word, Excel have to be exported to plain text first).  Exominer