Author

Moustafa Shokrof

University of California, DavisORCID 0000-0003-1040-2145Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Approach:graph neural network· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

C. Titus BrowniD· 2 shared Tamer A. MansouriD· 2 shared Mohamed AbuelaniniD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

C. Titus BrownORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicineGigaSciencePeer-reviewedJan 1, 2025

The Great Genotyper: A Graph-Based Method for Population Genotyping of Small and Structural Variants

Moustafa Shokrof, Mohamed Abuelanin, C. Titus Brown, Tamer A. Mansour

The Great Genotyper efficiently genotypes structural variants in large populations using a graph-based method, improving precision and recall while reducing computational time.

2 citations

humanwhole-genome sequencing

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BioinformaticsBMC BioinformaticsPeer-reviewedFeb 16, 2021

MQF and buffered MQF: Quotient filters for efficient storage of k-mers with their counts and metadata

Moustafa Shokrof, C. Titus Brown, Tamer A. Mansour

The paper introduces MQF and buffered MQF, efficient data structures for storing k-mers with counts and metadata, improving space efficiency and speed over existing methods.

6 citations

whole-genome sequencingstatistical model

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