Jellyfish is a tool for fast, memory-efficient counting of k-mers in DNA. A k-mer is a substring of length k, and counting the occurrences of all such substrings is a central step in many analyses of DNA sequence. Jellyfish can count k-mers using an order of magnitude less memory and an order of magnitude faster than other k-mer counting packages by using an efficient encoding of a hash table and by exploiting the "compare-and-swap" CPU instruction to increase parallelism.
JELLYFISH is a command-line program that reads FASTA and multi-FASTA files containing DNA sequences. It outputs its k-mer counts in a binary format, which can be translated into a human-readable text format using the "jellyfish dump" command, or queried for specific k-mers with "jellyfish query". See the documentation for details.
If you use Jellyfish in your research, please cite:
Guillaume Marcais and Carl Kingsford, A fast, lock-free approach for efficient parallel counting of occurrences of k-mers. Bioinformatics (2011) 27(6): 764-770 (first published online January 7, 2011) doi:10.1093/bioinformatics/btr011
On Debian and Ubuntu with apt
:
sudo apt update
sudo apt install jellyfish
On Arch, it is available from AUR.
Jellyfish can be installed on FreeBSD via the FreeBSD ports system.
To install via the binary package, simply run:
pkg install Jellyfish
To install from source:
cd /usr/ports/biology/jellyfish
make install
With Cygwin, Jellyfish can be compiled from source as explained below. The simpler way on Windows 10 is to first install WSL and then install a Linux distribution that carries Jellyfish (e.g., Ubuntu) from the Windows Store. Finally, install with:
sudo apt update
sudo apt install jellyfish
To get an easier to compiled packaged tar ball of the source code, download a release from the github release. You need make and g++ version 4.4 or higher. To install in your home directory, do:
./configure --prefix=$HOME
make -j 4
make install
To compile from the git tree, you will also need autoconf, automake, libool, gettext, pkg-config and yaggo. Then to compile and install (in /usr/local
in that example) with:
autoreconf -i
./configure
make -j 4
sudo make install
If the software is installed in system directories (hint: you needed to use sudo
to install), like the example above, then the system library cache must be updated like such:
sudo ldconfig
Instruction of use are available in the doc directory.
In the examples directory are potentially useful extra programs to query/manipulates output files of Jellyfish, using the shared library of Jellyfish in C++ or with scripting languages. The examples are not compiled by default. Each subdirectory of examples is independent and is compiled with a simple invocation of 'make'.
Bindings to Ruby, Python and Perl are provided. This binding allows to read the output file of Jellyfish directly in a scripting language. Compilation of the bindings is easier from the release tarball. The development files of the target scripting language are required.
Compilation of the bindings from the git tree requires SWIG version 3 and adding the switch --enable-swig
to the configure command lines show below.
To compile all three bindings, configure and compile with:
./configure --enable-ruby-binding --enable-python-binding --enable-perl-binding
make -j 4
sudo make install
By default, Jellyfish is installed in /usr/local
and the bindings are installed in the proper system location. When the --prefix
switch is passed, the bindings are installed in the given directory. For example:
./configure --prefix=$HOME --enable-python-binding
make -j 4
make install
This will install the python binding in $HOME/lib/python2.7/site-packages
(adjust based on your Python version).
Then, for Python, Ruby or Perl to find the binding, an environment variable may need to be adjusted (PYTHONPATH
, RUBYLIB
and PERL5LIB
respectively). For example:
export PYTHONPATH=$HOME/lib/python2.7/site-packages
See the swig directory for examples on how to use the bindings.