Author

Mayuko Boffelli

University of California, Los AngelesORCID 0009-0003-7504-928XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:experimental assay· 1 Research Focus:fine-mapping· 1 Research Focus:genome assembly· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Aakarsh AnandiD· 1 shared Delaney K. SullivaniD· 1 shared Jiayi Ni· 1 shared Lior S. PachteriD· 1 shared Moonseong JeongiD· 1 shared Prateek AnandiD· 1 shared Sriram SankararamaniD· 1 shared Sungjoo Han· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperGenomics

Aakarsh AnandORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintOct 22, 2026

Genome-wide LD scores enable robust heritability and genetic correlation estimation from summary statistics across genetic ancestries

Moonseong Jeong, Zhengtong Liu, Jiayi Ni…·Sriram Sankararaman

SUMMIT improves heritability and genetic correlation estimation across diverse ancestries using LD scores and GWAS summary statistics, showing better accuracy in non-European populations.

DOI 10.64898/2026.10.20.760508

humanGWAS summary statistics

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BioinformaticsbioRxivPreprintMay 11, 2025

Pseudoassembly of k-mers

Delaney K. Sullivan, Mayuko Boffelli, Lior S. Pachter

The paper introduces a pseudoassembly method using colored de Bruijn graphs to identify cell-type specific de novo variants from single-cell RNA-seq in a mouse melanoma model.

2 citations

mousescRNA-seq

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