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Witold Wolski edited this page Dec 22, 2015
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- input are mzXML files from Pride which where analysed as part of the eLife paper.
- 2-3 search engines: comet, myrimatch, (msgf+) for identification of MHC peptides from centroided MS/MS data.
- TPP - peptide prophet and iprophet for rescoring and fdr estimation
- netMHCcons for verification and annotation of identified peptides
- recomputation of the fdr for verified peptides
- spectrast for swath library creation
The workflow is implemented using the applicake plumbing toolkiet
Open questions :
- is visualization of results as described in the eLife paper essential?
- how does the output of the workflow looks like:
- meta information about sample
- annotation of the identified pepites
sudo apt-get install git
git clone https://github.com/systemhc/systemhc
git clone https://github.com/SysteMHC/SysteMHC_Binaries
git clone https://github.com/SysteMHC/RnetMHC
git clone https://github.com/SysteMHC/SysteMHC_Data
git clone https://github.com/applicake-tools/applicake
git clone https://github.com/applicake-tools/toolscake
at a later stage we might use git submodules