Author

Yina Wang

Illumina (United States)ORCID 0009-0000-6217-5031Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yina Wang1 paper · Yunnan Agricultural University;

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

Arun VisvanathiD· 2 shared Christopher E. MasoniD· 2 shared Gavin ParnabyiD· 2 shared James HaniD· 2 shared Massimiliano RossiiD· 2 shared Rami MehioiD· 2 shared Severine CatreuxiD· 2 shared Adetola AbdulkadiriD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Arun VisvanathORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintFeb 4, 2026

Scalable and comprehensive mosaic variant calling using DRAGEN

Sairam Behera, Massimiliano Rossi, Yina Wang…·Fritz Joachim Sedlazeck

The paper introduces DRAGEN, a scalable mosaic variant caller that detects low VAF variants with high accuracy and efficiency, and presents a benchmark for low-VAF variants.

2 citations

humanwhole-genome sequencing

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BioinformaticsbioRxivPreprintDec 2, 2024

A robust benchmark for detecting low-frequency variants in the HG002 Genome In A Bottle NIST reference material.

Camille A. Daniels, Adetola Abdulkadir, Megan H. Cleveland…·Nathan D. Olson

The paper develops a benchmark for detecting low-frequency mosaic variants in the HG002 reference material using high-coverage sequencing data and validates its utility across multiple technologies.

10 citations

humanwhole-genome sequencing

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