Update README.md

README.md

@@ -35,8 +35,8 @@ http://bio-bwa.sourceforge.net/
 
 ## Overview
 Running lumosVar involves two main steps
-1. normalMetrics: analyzes a set of unmatched controls to find average read depths and position quality metrics
-   - IMPORTANT - unmatched controls must be generated using the same exome capture as the tumors
+1. normalMetrics: analyzes a set of unmatched controls to find average read depths and position quality metrics.  
+**IMPORTANT - unmatched controls must be generated using the same exome capture as the tumors**
 2. lumosVarMain: call somatic, germline, and copy number variants
 
 ### Example dataset
@@ -97,11 +97,11 @@ numCPU: CORES           ### number of parallel processors
 ```
 - The bamList file should contain absolue paths to the tumor bams with one per line.  All of the bams should come from the same patient.
 
-It is important that the length of priorF matches the number of bams in the bam list.  We recommend the following values for priorF:
-- solid tumor: 0.7
-- purified tumor or cell line: 0.99
-- tumor adjacent normal tissue: 0.1
-- normal tissue unlikely to have tumor contamination: 0.01 (you may also set NormalSample to the indicate postion of your normal sample in your bam list file to run in matched normal mode)  
+- It is important that the length of priorF matches the number of bams in the bam list.  We recommend the following values for priorF:
+  - solid tumor: 0.7
+  - purified tumor or cell line: 0.99
+  - tumor adjacent normal tissue: 0.1
+  - normal tissue unlikely to have tumor contamination: 0.01 (you may also set NormalSample to the indicate postion of your normal sample in your bam list file to run in matched normal mode)  
 
 To run lumosVar
 ```