Added link to RCC workshop.

README.md

@@ -88,11 +88,14 @@ numerical libraries.
 gemma.linux.gz` to unpack the file.
 
 
-## Quick start
+## Help materials
 
-1. Work through the demo. *Give more details here.*
++ [The GEMMA manual](doc/manual.pdf).
 
-2. Read the manual and run `gemma -h`. *Give more details here.*
++ [Detailed example with HS mouse data](example/demo.txt).
+
++ [Tutorial on GEMMA for genome-wide association
+analysis](https://github.com/rcc-uchicago/genetic-data-analysis-2).
 
 ## Citing GEMMA
 

example/demo.txt

@@ -98,7 +98,9 @@ chr	rs	ps	n_miss	allele1	allele0	af	beta_1	beta_2	Vbeta_1_1	Vbeta_1_2	Vbeta_2_2
 ## To fit BSLMM in the training set:
 
 ## To fit a quantitative trait
-../bin/gemma -g mouse_hs1940.geno.txt.gz -p mouse_hs1940.pheno.txt -n 2 -a mouse_hs1940.anno.txt -bslmm -o mouse_hs1940_CD8_bslmm -w 1000 -s 10000 -seed 1
+../bin/gemma -g mouse_hs1940.geno.txt.gz -p mouse_hs1940.pheno.txt -n 2 \
+  -a mouse_hs1940.anno.txt -bslmm -o mouse_hs1940_CD8_bslmm \
+  -w 1000 -s 10000 -seed 1
 
 # the following three files may be of most importance:
 # the *.hyp.txt contains a column for pve and pge