Author

Heng Yi

MGIORCID 0009-0000-5822-9201Unclaimed 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· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:genome assembly· 1 Organism:human· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Yong HouiD· 2 shared Andrew W. CarrolliD· 1 shared Anzhi Lu· 1 shared Evgeniy MozheikoiD· 1 shared Heitung Kong· 1 shared Hui Yuan GaoiD· 1 shared Kishwar ShafiniD· 1 shared Lingyun XuiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Yong HouORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 17, 2026

PanVariants: Best Practice for Pangenome-based Variant Calling Pipeline and Framework

Heng Yi, Linqi Wang, Xinrui Chen…·Ming Ni

PanVariants improves variant calling by integrating k-mer and mapping methods, reducing errors and outperforming existing tools for SNVs, indels, and SVs.

1 citation

whole-genome sequencingstatistical model

𝕏 PostBluesky

GenomicsGenomePeer-reviewedJan 1, 2025

Pre-Assembly NGS Correction of ONT Reads Achieves HiFi-Level Assembly Quality

Evgeniy Mozheiko, Heng Yi, Anzhi Lu…·Hui Yuan Gao

The paper shows that ONT reads corrected by NGS can achieve assembly quality comparable to HiFi-based methods, offering a cost-effective alternative for genome assembly.

DOI 10.1139/gen-2024-0132

humanwhole-genome sequencing

𝕏 PostBluesky