TAIGA: Transformation and Integration of Genome Annotations

High performing variant-impact prediction scores for all missense mutations in the human exome

Arnab Saha Mandal, Aaron Mathankeri, Nathan Bryans, and A.P. Jason de Koning

All rights reserved, 2019. NOT FOR COMMERCIAL USE.

Please direct inquiries to Jason [email protected]

Figure: ROC curves for TAIGA in comparison with other Variant Impact Predictors for Clinvar (left) and GWAS (right) disease variants. TAIGA's AUC was 0.995 for ClinVar and 0.879 for GWAS

To install, please use:

git clone https://github.com/dekoning-lab/TAIGA.git
cd TAIGA
make

Figure: Snapshot of TAIGA database for variant impact prediction scores for ~109 million possible variants within the human exome