Author

Huiguang Yi

Agricultural Genomics Institute at ShenzhenORCID 0000-0002-9676-7438Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1 Assay:long-read sequencing· 1 Assay:metagenomics· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Chengqi LiniD· 1 shared Qing Chang· 1 shared Wenfei JiniD· 1 shared Xiaoxin LuiD· 1 shared Yanling Lin· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperBioinformatics

Chengqi LinORCID

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2 papers

Recent·Most cited

BioinformaticsNature Computational SciencePeer-reviewedAug 29, 2025

MetaKSSD: Boosting the Scalability of Reference Taxonomic Marker Database and the Performance of Metagenomic Profiling Using Sketch Operations

Huiguang Yi, Xiaoxin Lu, Qing Chang

MetaKSSD improves metagenomic profiling efficiency and scalability using sketch operations, outperforming existing tools and enabling large-scale analysis.

DOI 10.1038/s43588-025-00855-0

metagenomicsstatistical model

BioinformaticsGenome biologyPeer-reviewedMar 16, 2021

Sequences Dimensionality-Reduction by K-mer Substring Space Sampling Enables Effective Resemblance- and Containment-Analysis for Large-Scale omics-data

Huiguang Yi, Yanling Lin, Chengqi Lin, Wenfei Jin

The paper introduces k-mer substring space decomposition (kssd), a sequence sketching technique that improves resemblance and containment analysis for large-scale omics data by being more accurate and efficient than existing methods.

22 citations

DNA methylationwhole-genome sequencing