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author | Pjotr Prins | 2018-10-14 06:23:41 +0000 |
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committer | Pjotr Prins | 2018-10-14 06:58:46 +0000 |
commit | c6b210353b6366112e9cf293be2cc5adc202344c (patch) | |
tree | b2fe5a06e232af725c8a43ae4d3c8978eeba3cda | |
parent | 997d64615b2890f33365c20061ad7423307e499e (diff) | |
download | pangemma-c6b210353b6366112e9cf293be2cc5adc202344c.tar.gz |
README: badges
-rw-r--r-- | INSTALL.md | 12 | ||||
-rw-r--r-- | README.md | 2 |
2 files changed, 12 insertions, 2 deletions
@@ -1,5 +1,7 @@ # INSTALL GEMMA: Genome-wide Efficient Mixed Model Association +[](https://travis-ci.org/genetics-statistics/GEMMA) [](https://anaconda.org/bioconda/gemma) [](https://anaconda.org/bioconda/gemma) [](https://github.com/brewsci/homebrew-bio) [](https://www.gnu.org/software/guix/packages/G/) [](https://packages.debian.org/testing/gemma) + ## Check version Simply run gemma once installed @@ -26,6 +28,8 @@ See below for installation on Guix. ### Debian and Ubuntu +[](https://packages.debian.org/testing/gemma) + Travis-CI uses Ubuntu for testing. Check the test logs for version numbers. [](https://travis-ci.org/genetics-statistics/GEMMA) @@ -34,7 +38,7 @@ 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) +[](https://anaconda.org/bioconda/gemma) Recent versions of GEMMA can be installed with [BioConda](http://ddocent.com/bioconda/) without root permissions using the following @@ -42,8 +46,14 @@ command conda install gemma +### Brew + +[](https://github.com/brewsci/homebrew-bio) + ### GNU Guix +[](https://www.gnu.org/software/guix/packages/G/) + The GNU Guix package manager can install recent versions of [GEMMA](https://www.gnu.org/software/guix/packages/g.html) using the following command @@ -3,7 +3,7 @@ Nat. Genet., 2016)](cfw.gif) # GEMMA: Genome-wide Efficient Mixed Model Association -[](https://travis-ci.org/genetics-statistics/GEMMA) +[](https://travis-ci.org/genetics-statistics/GEMMA) [](https://anaconda.org/bioconda/gemma) [](https://anaconda.org/bioconda/gemma) [](https://github.com/brewsci/homebrew-bio) [](https://www.gnu.org/software/guix/packages/G/) [](https://packages.debian.org/testing/gemma) GEMMA is a software toolkit for fast application of linear mixed models (LMMs) and related models to genome-wide association studies |