Author

Parham Kazemi

BC Cancer AgencyORCID 0000-0002-2126-5644Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:gene regulatory network inference· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Organism:human· 1 Research Focus:phylogenetics / evolution· 1 Assay:protein sequence· 1 Research Focus:variant calling· 1

Frequent Co-Authors

İnanç BiroliD· 3 shared Johnathan WongiD· 3 shared Lauren CoombeiD· 3 shared René L. WarreniD· 3 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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3 shared papersBioinformatics

İnanç BirolORCID

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3 papers

Recent·Most cited

BioinformaticsBMC BiologyPeer-reviewedDec 29, 2025

Multi-genome synteny detection using minimizer graph mappings

Lauren Coombe, Parham Kazemi, Johnathan Wong…·René L. Warren

The paper introduces ntSynt, a tool for detecting multi-genome synteny blocks using minimizer graphs, showing high coverage and efficiency across diverse genomes.

11 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky

GeneticsBioinformatics AdvancesPeer-reviewedDec 26, 2024

ntRoot: Computational Inference of Human Ancestry at Scale from Genomic Data

René L. Warren, Lauren Coombe, Johnathan Wong…·İnanç Birol

ntRoot infers human super-population ancestry from genomic data with high accuracy and efficiency, outperforming traditional methods on large datasets.

6 citations

humanwhole-genome sequencing

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BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2023

aaHash: recursive amino acid sequence hashing

Johnathan Wong, Parham Kazemi, Lauren Coombe…·İnanç Birol

aaHash is a recursive amino acid sequence hashing algorithm that improves speed and sensitivity for protein sequence analysis.

1 citation

protein sequencestatistical model

𝕏 PostBluesky