Java and R tools for analyzing Drop-seq data
Drop-seq questions may be directed to [email protected].
You may also use this address to be added to the Drop-seq Google group.
See Releases to download binaries.
See Drop-seq alignment cookbook for detailed usage of these tools.
See Census-seq computational protocols for detailed usage of Census-Seq tools.
See Donor Assignment cookbook for detailed usage of donor assignment and doublet detection tools.
Download source:
git clone https://github.com/broadinstitute/Drop-seq.git
cd Drop-seq
There are two options for building and installing Java code.
- Build the executable jarfile, a single wrapper script from which all command-line programs can be invoked, installed in the cloned git sandbox.
- Build a zipfile containing the executable jarfile and wrapper scripts for all command-line programs. The zipfile can be installed in an arbitrary location.
./gradlew installDist
The wrapper script will be dropseq/build/install/dropseq/bin/dropseq
. dropseq.bat
for Windows.
./gradlew distZip
unzip -d <install-location> ./dropseq/build/distributions/dropseq-<version>.zip
Note that the name of the zipfile will be based on the tagged version and state of your git sandbox.
The files will be deployed into a subdirectory of <install-location>
above, with name based on the name of the zipfile.
You are encouraged to use the pre-built binaries in Releases, but if you want to build from (possibly unstable) sources, you can build from github source as follows:
For each library in src/R/packages, you can install using devtools::install_github
, e.g.
devtools::install_github("broadinstitute/Drop-seq", subdir="/src/R/packages/DropSeq.utilities")
Alternately, you can download sources and use R CMD BUILD
and R CMD INSTALL
as usual.