Installation¶
Ubuntu/Debian/Mint¶
sudo apt install ncbi-blast+ git libglpk-dev r-base-core exonerate bedtools barrnap bc parallel
R -e 'install.packages(c("data.table", "stringr", "sybil", "getopt", "doParallel", "foreach", "R.utils", "stringi", "glpkAPI", "CHNOSZ", "jsonlite"))'
R -e 'if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager"); BiocManager::install("Biostrings")'
git clone https://github.com/jotech/gapseq && cd gapseq
Centos/Fedora/RHEL¶
sudo yum install ncbi-blast+ git glpk-devel BEDTools exonerate hmmer bc parallel
git clone https://github.com/tseemann/barrnap.git
export PATH=$PATH:barrnap/bin/barrnap # needs to be permanent => .bashrc ?
R -e 'install.packages(c("data.table", "stringr", "sybil", "getopt", "doParallel", "foreach", "R.utils", "stringi", "glpkAPI", "CHNOSZ", "jsonlite"))'
R -e 'if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager"); BiocManager::install("Biostrings")'
git clone https://github.com/jotech/gapseq && cd gapseq
MacOS¶
Using homebrew. Please note: Some Mac-Users reported difficulties to install gapseq on MacOS using the following commands. The issues are mainly due to some Mac-specific functioning of central programs such as sed, awk, and grep. If you are experiencing issues, we recommend to try to install gapseq in an own conda environment using the steps described below.
brew install coreutils binutils git glpk blast bedtools r brewsci/bio/barrnap grep bc gzip parallel
R -e 'install.packages(c("data.table", "stringr", "sybil", "getopt", "doParallel", "foreach", "R.utils", "stringi", "glpkAPI", "CHNOSZ", "jsonlite"))'
R -e 'if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager"); BiocManager::install("Biostrings")'
git clone https://github.com/jotech/gapseq && cd gapseq
Some additional discussion and and trouble shooting can be found here: 1, 2.
conda¶
There is no conda gapseq package available yet but all dependencies can be installed from conda channels without super user rights using the following steps:
1. Install Mini-/Anaconda
Follow the instructions provided by conda to Install Anaconda/Miniconda.
2. Create conda environment for gapseq and adding package sources
# Cloning the development version of gapseq
git clone https://github.com/jotech/gapseq
cd gapseq
# Create and activate a conda environment "gapseq-dev"
conda env create -n gapseq-dev --file gapseq_env.yml
conda activate gapseq-dev
# install one additional R-package
R -e 'install.packages("CHNOSZ", repos="http://cran.us.r-project.org")'
# Download & Install R-package 'sybilSBML'
wget https://cran.r-project.org/src/contrib/Archive/sybilSBML/sybilSBML_3.1.2.tar.gz
R CMD INSTALL --configure-args=" \
--with-sbml-include=$CONDA_PREFIX/include \
--with-sbml-lib=$CONDA_PREFIX/lib" sybilSBML_3.1.2.tar.gz
rm sybilSBML_3.1.2.tar.gz
# Download reference sequence data
bash ./src/update_sequences.sh
3. Test the installation
./gapseq test
SBML support¶
The Systems Biology markup Language (SBML) can be used to exchange model files between gapseq and other programs.
Occasionally, the installation can cause some issues that is why SBML is listed as optional dependency.
There should be a libsbml package (version 5.18.0 or later) available for most linux distributions:
sudo apt install libsbml5-dev # debian/ubuntu
sudo yum install libsbml-devel # fedora/centos
For MacOS, libsbml is not part of homebrew but an installation file can be downloaded from here.
Please make sure, that libsbml is installed together with its fbc-extension.
Next, we need to install the R-package sybilSBML, version 3.1.2. Unfortunately, the package is currently not available anymore from the CRAN repository. However, the latest version can still be downloaded and installed from CRAN’s archives:
wget https://cran.r-project.org/src/contrib/Archive/sybilSBML/sybilSBML_3.1.2.tar.gz
R CMD INSTALL sybilSBML_3.1.2.tar.gz
A common problem ist that the library path could not be found during installation of sybilSBML. In this case, it may be necessary to specify the include and lib folder:
R CMD INSTALL --configure-args="--with-sbml-include=/path/to/libsbml-5.18.0/include/ --with-sbml-lib=/path/to/libsbml-5.18.0/lib/" sybilSBML_3.1.2.tar.gz
The sybilSBML archive is available at gitlab together with more detailed installation information also at gitlab. Also, you may find more information on troubleshooting sybilSBML installation at this gist-discussion.
cplex solver support¶
We recommend using cplex als LP-solver as it is usually faster than glpk. The cplex solver is included in the IBM ILOG CPLEX Optimization Studio, which is free* for students and academics through the IBM Academic Initiative programm (see here). Please follow the installation instructions for cplex provided by IBM. The R-package for the interface between R and the cplex solver can be optained from CRAN (cplexAPI on CRAN). For cplexAPI installation please refer to instructions here.
Troubleshooting¶
- NCBI blast version 2.2.30 (10/2014) or newer is needed. If your disribution only contains an older version, try to download a binary directly from ncbi
- Older blast version could cause the
Error: Unknown argument: "qcov_hsp_perc"
- Older blast version could cause the
- If you are getting the installation error
'lib = "../R/library"' is not writablewhile installing the R packages, then try this command beforehand:
Rscript -e 'if( file.access(Sys.getenv("R_LIBS_USER"), mode=2) == -1 ) dir.create(path = Sys.getenv("R_LIBS_USER"), showWarnings = FALSE, recursive = TRUE)'
- glpkAPI install error
checking for library containing glp_create_prob... noalthough libglpk has been installed, try:
wget https://cran.r-project.org/src/contrib/glpkAPI_1.3.2.tar.gz
R CMD INSTALL --configure-args="--enable-gmp=no" glpkAPI_1.3.2.tar.gz
- SBML-Export: In order to export valid SBML files, it is required to have the R-Package sybilSBML with version 3.1.2 or higher. In addtion libSBML-core-plus-packages (>= 5.16) with ‘groups’ and ‘fbc’ extensions are required. See also “SBML Support”.