diff --git a/README.md b/README.md
index 0ff2eea6bb92fbf25b94a83c661d55ab22afa902..2d029e25411352f0546f6137a4050d6d90864579 100644
--- a/README.md
+++ b/README.md
@@ -22,7 +22,6 @@ with `CB` tag, eg. from single-cell preprocessing pipeline (cellranger)
 - VCF, variant call file that contains the list of informative SNPs
 - barcodeFile, the list of cell barcodes of the sperm cells
 
-
 ## Outputs
 
 * *.mtx
@@ -57,11 +56,24 @@ with `CB` tag, eg. from single-cell preprocessing pipeline (cellranger)
       -h --help  show help
 
   Examples
-      ./sscocaller --threads 10 AAAGTAGCACGTCTCT-1.raw.bam AAAGTAGCACGTCTCT-1.raw.bam.dp3.alt.vcf.gz barcodeFile.tsv ./percell/ccsnp-
+      ./sscocaller --threads 4 possorted_bam. SNPs.vcf.gz barcodeFile.tsv ./percell/ccsnp
+
+
+```
+### Run for a Bam of a single cell (bulk sample)
 
+For cases where the DNA reads do not have a cell barocode tag (CB) and all the DNA reads are from one cell (Bulk sample), `sscocaller` can
+still be applied:
+
+1, Prepare a bulkBC.txt file in which only one dummy cell barcode "bulk" is listed. It means in the bulkBC.txt file, there is only 
+one row and it has the text "bulk".
+
+2, Apply sscocaller as above :
 
 ```
+    ./sscocaller --threads 10 bulk.bam SNPs.vcf.gz bulkBC.txt ./output/bulksample
 
+```
 
 ## Setup/installation
 
@@ -106,14 +118,13 @@ The static bianry can be simply downloaded which works for GNU/Linux type OS: `.
 
 The static build was generated by using docker image docker://svirlyu/sscocaller_nsb adapted from https://github.com/brentp/hts-nim/blob/master/Dockerfile
 
-
 ```
 /usr/local/bin/nsb -s ./src/sscocaller.nim -n sscocaller.nimble -o /mnt/src -- --d:release --threads:on
 ```
 
 
-With docker image : `svirlyu/sscocaller_nsb` contains the required static libraries. A static binary build of
-sscocaller is available as downloadable artifacts at gitlab repo: "https://gitlab.svi.edu.au/biocellgen-public/sscocaller"
+A static binary build of `sscocaller` is available as downloadable artifacts at gitlab repo: "https://gitlab.svi.edu.au/biocellgen-public/sscocaller" or via
+the `Releases` tab
 
 
 ## Downstream analysis in R