Author

Juan Moreno

Elements Biosciences (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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Genomics· 3

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Adeline Mah· 2 shared Andrew M. BoddickeriD· 2 shared Bryan R. LajoieiD· 2 shared Joshua ChaniD· 2 shared Junhua ZhaoiD· 2 shared Laure Edoli· 2 shared Peter T. Mains· 2 shared Semyon KruglyakiD· 2 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersGenomics

Adeline Mah

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3 papers

Recent·Most cited

A simplified hybrid capture approach retains high specificity and enables PCR-free workflow

Adeline Mah, Xiaodong Qi, Junhua Zhao, Kelly N. Wiseman, Laure Edoli, Kyle S. Metcalfe, Kyle Donohoe, Micah T. Ojeda, Sophie Billings, Juan Moreno, Marina McCowin, Ben Krajacich, Kevin Green, Ramkrishna Adhikary, Andrew M. Boddicker, , Michael J. R. Previte

This paper introduces a simplified hybrid capture method that eliminates PCR and bead-based steps while maintaining specificity and improving variant calling.

BMC Genomics · Sep 2, 2025Peer-reviewedGenomics

eQTLs identify regulatory networks and drivers of variation in the individual response to sepsis

Katie L. Burnham, Nikhil Milind, Wanseon Lee, Andrew John Kwok, Kiki Cano-Gamez, Yuxin Mi, Cyndi G. Geoghegan, Ping Zhang, Jenni Addison, Helen F. Galley, Sally Hall, Siân Roughton, Jane Taylor, Heather M. Tennant, Nigel R. Webster, , Sarah Mappleback

The paper identifies eQTLs and regulatory networks linking genetic variation to transcriptomic responses in sepsis, highlighting key regulators like HIF1A and CEBPB.

Cell Genomics · Jun 18, 2024Peer-reviewedGenomics

Sequencing by avidity enables high accuracy with low reagent consumption

Sinan Arslan, Francisco J. Garcia, Minghao Guo, Matthew William Kellinger, Semyon Kruglyak, Jake A. LeVieux, Adeline Mah, Haosen Wang, Junhua Zhao, Chunhong Zhou, Andrew Altomare, John Bailey, Matthew B. Byrne, Chiting Chang, Steve X. Chen, , Jordan M. Neysmith

This paper introduces avidity sequencing, a new chemistry that improves sequencing accuracy and reduces reagent use, enabling applications like single-cell RNA-seq and whole-genome sequencing.

Nature Biotechnology · May 25, 2023Peer-reviewedGenomics