diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000..f073372
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,9 @@
+# bioconductor 3.17
+FROM bioconductor/bioconductor_docker@sha256:258c0e8b9d0e001adbca7f07372833e3f3b4c0495aa728502c6a2bb241383b18
+
+RUN wget https://cran.r-project.org/src/contrib/Archive/NORMT3/NORMT3_1.0.4.tar.gz && \
+    R CMD INSTALL NORMT3_1.0.4.tar.gz
+
+RUN R --quiet -e "BiocManager::install(c('IRanges','MKmisc')); devtools::install_github('genome/bmm'); devtools::install_github('genome/sciClone')"
+
+USER rstudio
diff --git a/README.md b/README.md
index 86807c5..f116216 100644
--- a/README.md
+++ b/README.md
@@ -34,6 +34,19 @@ IRanges, rgl, RColorBrewer, ggplot2, grid, plotrix, methods, NORMT3, MKmisc, Tea
         R CMD build sciclone
         R CMD INSTALL sciClone_1.1.0.tar.gz
 
+Alternatively, a Dockerfile is included and can be built using:
+
+```{bash}
+# change to sciclone repo
+docker build . -t sciclone
+```
+
+Once the image is built you can start an interactive R session using the container by running:
+
+```{bash}
+docker run -it --rm sciclone /usr/bin/env R
+```
+
 ## Usage
     library(sciClone)