ArticleNature methods2025
ProHap enables human proteomic database generation accounting for population diversity.
Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- AI proteomics: from protein identification to virtual cells.Nature methods · 2026Review
- Sample-specific haplotype-resolved protein isoform characterization via long-read RNA-seq-based proteogenomics.bioRxiv : the preprint server for biology · 2026Article
- HapScoreDB: a database of protein language model functional scores for haplotype-resolved protein sequences.Nucleic acids research · 2026Article
- Backyard Proteomics: A Case Study with the Black Widow Spider.Journal of proteome research · 2025Article
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Authors and funding
12 authors.
Funding
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 enables researchers to account for haplotype diversity in proteomic searches.
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