Author

Andrew Ruttenberg

Washington University in St. LouisORCID 0009-0003-5876-7378Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Benjamin K. JohnsoniD· 2 shared Benpeng MiaoiD· 2 shared Chad TomlinsoniD· 2 shared Daofeng LiiD· 2 shared Edward A. BelteriD· 2 shared Elvisa MehinoviciD· 2 shared Hui SheniD· 2 shared John E. GarzaiD· 2 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Benjamin K. JohnsonORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintJan 5, 2026

Leveraging Human Pangenome for Improved Somatic Variant Detection

Qichen Fu, Zilan Xin, Benpeng Miao…·Ting Wang

This study shows that using graph-based pangenomes and inferred donor-specific assemblies improves somatic variant detection compared to GRCh38.

DOI 10.64898/2026.01.04.697580

humanwhole-genome sequencing

𝕏 PostBluesky

GenomicsbioRxivPreprintSep 29, 2025

A Pangenomic Method for Establishing a Somatic Variant Detection Resource in HapMap Mixtures

Nahyun Kong, Zitian Tang, Andrew Ruttenberg…·Sheng Chih Jin

The paper develops a pangenomic method to create a benchmark resource for somatic variant detection using HapMap mixtures, identifying millions of variants across different genomic regions.

5 citations

humanwhole-genome sequencing

𝕏 PostBluesky