Author

Hwee Meng Low

Agency for Science, Technology and Research

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· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Research Focus:gene regulatory network inference· 3 Organism:human· 3 Approach:experimental assay· 2 Assay:long-read sequencing· 2 Research Focus:variant calling· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1

Frequent Co-Authors

Jonathan GökeiD· 3 shared Chiea Chuen KhoriD· 2 shared Fei YaoiD· 2 shared Lixia Xin· 2 shared Mile ŠikićiD· 2 shared Patrick B. O. TaniD· 2 shared Ying CheniD· 2 shared Alexander LezhavaiD· 1 shared

Activity by Year

2020-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenomics

Jonathan GökeORCID

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3 papers

Recent·Most cited

A Complete Telomere-to-Telomere Diploid Reference Genome for Indian Population

Prasad Sarashetti, Josipa Lipovac, Jia Qi, Ling Wang, Zhe Li, Lovro Vrček, Ying Chen, Fei Yao, YY Sia, Dehui Lin, Xinyi Zhang, Daniel Muliaditan, Hwee Meng Low, See Ting Leong, Chiea Chuen Khor, , Jianjun Liu

The paper presents a high-quality, gapless diploid reference genome for an Indian population, revealing extensive structural variation and improved performance for genomic analysis in South Asian samples.

bioRxiv · Jul 12, 2025 · PreprintGenomics

A systematic benchmark of Nanopore long read RNA sequencing for transcript level analysis in human cell lines

Ying Chen, N. Davidson, Yuk Kei Wan, Fei Yao, Yan Su, Hasindu Gamaarachchi, Andre Sim, Harshil Patel, Hwee Meng Low, Christopher Hendra, Laura Wratten, Christopher Hakkaart, Chelsea Sawyer, Viktoriia Iakovleva, Puay Leng Lee, , Jonathan Göke

This study benchmarks Nanopore long read RNA sequencing in human cell lines, showing improved isoform resolution compared to short reads.

Nature Methods · Mar 13, 2025Peer-reviewedGenomics

AERON: Transcript quantification and gene-fusion detection using long reads

Mikko Rautiainen, Dilip A. Durai, Ying Chen, Lixia Xin, Hwee Meng Low, Jonathan Göke, Tobias Marschall, Marcel H. Schulz

AERON quantifies transcript expression and detects gene-fusions from long RNA reads, showing accuracy on simulated and real data.

bioRxiv · Jan 27, 2020 · PreprintBioinformatics