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Home Page: http://t-b-f.github.io/porthoda
python wrapper using protein domain to speed up proteinortho
Home Page: http://t-b-f.github.io/porthoda
python wrapper using protein domain to speed up proteinortho ============================================================ Requirement, the following softwares and database must be installed -------------------------------------------------------------------- * python 2.7 * pfam_scan.pl * hmm database pfam-27.0 * hmmscan * proteinortho (version 4.0, 5.+ not supported) * libboost Method --------- porthoDom is a wrapper around proteinortho version 4.26. Latter version are currently not supported but we are working on it. porthoDom performs the domain annotation of your protein sequences or can use pre-existing annotation in pfam format The domain arrangements present in the input protein sequences set are clustered together based on our new domain similarity distance. The clusters are used as sub-space of search for orthologous candidates, ie proteins sequences with similar domain arrangement are grouped together per species and proteinortho is runned on these sub-groups. The results of the different proteinortho runs are gathered together and a standard proteinortho output file is created. Installation ------------ porthoDom is composed of two parts, a C program computing the pairwise domain similarity and a python gluing everything together. For a local installation ~~~~~~~~~~~~~~~~~~~~~~~~ python install setup.py --user Be sure that the local installation path is in our python environment path add $HOME/.local/lib in PYTHONPATH export PYTHONPATH=$HOME/.local/lib/ add the previous line to your bashrc or personal bashrc echo "export PYTHONPATH=$HOME/.local/lib/" >> ~/.bashrc move the local compute_similarity program from bin to a directory where it will be accessible by the system If administrator right are provided ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sudo python install setup.py How to cite ----------- Domain similarity based orthology detection, Tristan Bitard-Feildel, Carsten Kemena, Jenny M Greenwood and Erich Bornberg-Bauer BMC Bioinformatics2015 16:154 http://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0570-8
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