Author

Heejoon Jo

Illumina (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

David Neil HayesiD· 1 shared Hyo Young ChoiiD· 1 shared James HaniD· 1 shared Jeffrey YuaniD· 1 shared Katherine A. HoadleyiD· 1 shared Konrad ScheffleriD· 1 shared Lisa MurrayiD· 1 shared Liza MakowskiiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenomics

David Neil HayesORCID

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Author profile →

2 papers

Recent·Most cited

Lung Adenocarcinoma Just Desserts: An Expanding Pie of Activating Oncogenes or a Layer Cake of Integrated Alterations

Minjung Kim, Wisut Lamlertthon, Heejoon Jo, Yan Cui, Hyo Young Choi, Katherine A. Hoadley, Matthew P. Smeltzer, Michele C. Hayward, Matthew D. Wilkerson, Liza Makowski, David Neil Hayes

The paper identifies an EGFR mutation signature (mSig) that captures transcriptional features of EGFR activation in LUAD, revealing subtype-dependent oncogene activity and potential therapeutic targets.

bioRxiv · Sep 19, 2025 · PreprintGenomics

Somatic small-variant calling methods in Illumina DRAGEN™ Secondary Analysis

Konrad Scheffler, Severine Catreux, Taylor O’Connell, Heejoon Jo, Varun Jain, Theo Heyns, Jeffrey Yuan, Lisa Murray, James Han, Rami Mehio

The paper introduces DRAGEN's somatic variant calling pipeline, demonstrating its speed and accuracy in whole-genome sequencing tumor-normal analysis compared to existing tools.

bioRxiv · Mar 23, 2023 · PreprintBioinformatics