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R code for 'Transmembrane Helices Are an Overlooked Source of Major Histocompatibility Complex Class I Epitopes', by Frans Bianchi, Johannes Textor and Geert van den Bogaart.
These R scripts make almost all figures in the paper "Transmembrane helices are an overlooked source of MHC class I epitopes" by Frans Bianchi, Johannes Textor, and Geert van den Bogaart. (DOI: 10.3389/fimmu.2017.01118)
Figure 3 as published
Figure 3 is made by tmh-predictions/HLA_predictions.xlsx.
Figure 3 in the Excel sheet
If you have all prerequisites installed,
you should be able to create all figures by typing make
.
All necessary data will either be downloaded (such
as the human proteome) or is included in the folder data/
(such as the
transmembrane domain predictions).
make test
make
Be aware that the HLA binding predictions can take several hours. It can be useful to speed up the process by running e.g. 'make -j 8' to run 8 jobs in parallel.
To run the code, you need:
seqinr
and data.table
EpitopePrediction
, which can be installed from github
using remotes::install_github("jtextor/epitope-prediction")
wget
If you do not have the program wget
or do not wish to install it, you
can also download the human proteome yourself and store it in the folder
'proteome/' before typing 'make'.
The folder 'data' contains two files with peptide sequences that were eluted from B lymphoblastoid cell lines. These sequences are taken from the following publication, which is also cited in our paper:
"Comprehensive analysis of the naturally processed peptide repertoire: differences between HLA-A and B in the immunopeptidome" by Schellens et al, PLoS One (2015) 10:e0136417. (DOI: 10.1371/journal.pone.0136417)
make pic
Human proteome:
bianchietal2017::download_proteome
Topology of human proteome:
TRDD1_HUMAN
from [nothing]
to 00
(i.e. cytosolic)Add the following code to your website.
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