Therapeutic AntiBody Targets Score
Supporting data and scripts for the manuscript:
Integration of omics data suggests new antibody targets in autoimmune diseases
by Lukasz Jaroszewski, Carl Ware, and Adam Godzik
Contents:
data/ - all input data for TABT
data/abs/ - lists of therapeutic antibodies used to evaluate accuracy of TABT
data/expression/ - differential expression results
data/expression/_disease_/_geo_accession_.top.table.tsv - limma results for individual GEO series
data/expression/_disease__consensus.tsv - consensus lists for differential expression
data/gwas/ - results from GenomeWide Association Studies
data/gwas/_disease_.tsv - association data dowloaded from GWAS catalog https://www.ebi.ac.uk/gwas/
data/gwas/_disease__genes.tsv - lists of genes with polymorphisms strongly associated with a disease (p-value < 1e-20)
data/interactions/interactions.tsv - list of protein-protein interactions prepared based on data from the STRING database.
The input files (currently 9606.protein.links.v11.5.txt and 9606.protein.aliases.v11.5.txt)
are not included in the GitHub repository due to the GitHub's size limits -
they are downloaded from STRING by the parse_interactions.py script instead.
data/location/uniprot.tsv - SWISSPROT data for human proteins
(downloaded from https://www.uniprot.org/uniprotkb)
data/tissues/E-MTAB-513-query-results.tpms.tsv - data on expression in human tissues
from publicly available Illumina Body Map (https://www.ebi.ac.uk/gxa/experiments/E-MTAB-513/Results)
results/ - folder where TABT scores and TABT evaluation are saved
results/_disease__tabt.tsv - full list of intermediate results, TABT score and ranking for _disease_
results/test.tsv - results of the test of the TABT score based on rankings of verified antibody targets for ibd,pso,ra and sle
(for the original TABT version the average % from top for ibd,pso,ra,sle should be 1.08)
scripts/ - all python programs used by TABT
scripts/prepare_data.py - prepares interactions, expression, and GWAS data used by TABT
scripts/tabt.py - calculates TABT scores and performs a test using targets of approved therapeutic antibodies
To run TABT scripts, please create the environment variable TABT_DIR containing the name of the
current TABT folder e.g., by adding the following line to your .bashrc in your home folder:
export TABT_DIR="_full_path_of_tabt_folder_"
Then run scripts scripts/prepare_data.py and scripts/tabt.py