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# INSTALL GEMMA: Genome-wide Efficient Mixed Model Association
## Check version
Simply run gemma once installed
gemma
and it should give you the version.
## GEMMA dependencies
GEMMA runs on Linux, MAC OSX and Windows (with Docker). The runtime
has the following dependencies:
* C++ tool chain >= 5.5.0 (see Travis CI and we test with file .guix-dev-gcc-older)
* GNU Science library (GSL) 2.x (GEMMA dropped support for GSL 1.x)
* blas/openblas
* lapack
* zlib
See below for installation on Guix.
## Install GEMMA
### Debian and Ubuntu
Travis-CI uses Ubuntu for testing. Check the test logs for version numbers.
[](https://travis-ci.org/genetics-statistics/GEMMA)
Current settings can be found in [travis.yml](.travis.yml).
### Bioconda
(Note Bioconda install is a work in [progress](https://github.com/genetics-statistics/GEMMA/issues/52)
Recent versions of GEMMA can be installed with
[BioConda](http://ddocent.com/bioconda/) without root permissions using the following
command
conda install gemma
### FreeBSD
Recent editions of FreeBSD ports include [GEMMA](https://www.freebsd.org/cgi/ports.cgi?query=gemma&stype=all)
### GNU Guix
The GNU Guix package manager can install recent versions of [GEMMA](https://www.gnu.org/software/guix/packages/g.html)
using the following command
guix package -i gemma
A more recent version may be found in the guix-bioinformatics channel
which is maintained by the authors. See the
[README](http://git.genenetwork.org/guix-bioinformatics/guix-bioinformatics), e.g.
env GUIX_PACKAGE_PATH=./guix-bioinformatics guix package -A gemma
To build GEMMA from source you can opt to install the build tools with
GNU Guix, the current build container is in [guix-dev](./.guix-dev)
source .guix-dev
make
Guix allows for easy versioning. To build with an older gcc, for
example:
guix environment -C guix --ad-hoc gcc-toolchain@9.3.0 gdb gsl openblas zlib bash ld-wrapper perl vim which
### Install from source
Install listed dependencies (you may want to take hints from
the Travis-CI [tests](./.travis.yml)) and run
make -j 4
(the -j switch builds on 4 cores).
time make check
You can run gemma in the debugger with, for example
gdb --args \
./bin/gemma -g example/mouse_hs1940.geno.txt.gz \
-p example/mouse_hs1940.pheno.txt -a example/mouse_hs1940.anno.txt \
-snps example/snps.txt -nind 400 -loco 1 -gk -debug -o myoutput
Note that if you get <optimized out> warnings on inspecting variables you
should compile with GCC_FLAGS="" to disable optimizations (-O3). E.g.
make WITH_OPENBLAS=1 GCC_FLAGS=
Other options, such as compiling with warnings, are listed in the
Makefile.
### GNU Guix commands used
Some development examples. With git bisect build the older versions
of gemma with openblas
~/.config/guix/current/bin/guix environment -C guix --ad-hoc gcc gdb gfortran:lib gsl lapack openblas zlib bash ld-wrapper perl ldc
make clean ; make WITH_OPENBLAS=1 FORCE_DYNAMIC=1 -j 8
or with atlas
~/.config/guix/current/bin/guix environment -C guix --ad-hoc gcc gdb gfortran:lib gsl lapack atlas zlib bash ld-wrapper perl ldc
make clean ; make WITH_OPENBLAS= FORCE_DYNAMIC=1 -j 25
## Run tests
GEMMA includes the shunit2 test framework (version 2.0).
make check
or
./run_tests.sh
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