ProHap enables proteomic database generation accounting for population diversity

Vasicek, J.; Kuznetsova, K. G.; Skiadopoulou, D.; Johansson, S.; Njolstad, P. R.; Bruckner, S.; Kall, L.; Vaudel, M.

doi:10.1101/2023.12.24.572591

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bioRxiv · 10.1101/2023.12.24.572591

ProHap enables proteomic database generation accounting for population diversity

Vasicek, J.·Kuznetsova, K. G.·Skiadopoulou, D.·Johansson, S.·Njolstad, P. R.·Bruckner, S.·Kall, L.·Vaudel, M.

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Abstract

Amid the advances in genomics, the availability of large reference panels of human haplotypes is key to account for human diversity within and across populations. However, mass spectrometry-based proteomics does not benefit from this information. To address this gap, we introduce ProHap, a Python-based tool that constructs protein sequence databases from phased genotypes of reference panels. ProHap empowers researchers to account for haplotypic diversity in proteomic searches.

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Vasicek, J., Kuznetsova, K. G., Skiadopoulou, D., Johansson, S., Njolstad, P. R., Bruckner, S., Kall, L., Vaudel, M.. 2023-12-24. ProHap enables proteomic database generation accounting for population diversity. https://doi.org/10.1101/2023.12.24.572591

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