Author

Christopher Hendra

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

Click to filter author papers

Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 3 Assay:bulk RNA-seq· 2 Organism:human· 2 Assay:long-read sequencing· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1

Frequent Co-Authors

Alexandre H. ThiéryiD· 3 shared Jonathan GökeiD· 3 shared Ploy N. PratanwanichiD· 3 shared W.S. Sho GohiD· 3 shared Yuk Kei WaniD· 3 shared Fei YaoiD· 2 shared Sarah Boon Hsi NgiD· 2 shared Wee Joo ChngiD· 2 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Alexandre H. ThiéryORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

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

Detection of m6A from direct RNA sequencing using a Multiple Instance Learning framework

Christopher Hendra, Ploy N. Pratanwanich, Yuk Kei Wan, W.S. Sho Goh, Alexandre H. Thiéry, Jonathan Göke

This paper introduces m6Anet, a Multiple Instance Learning framework for detecting m6A methylation from direct RNA sequencing data, achieving performance comparable to experimental methods without retraining.

Nature Methods · Nov 10, 2022Peer-reviewedBioinformatics

Detection of differential RNA modifications from direct RNA sequencing of human cell lines

Ploy N. Pratanwanich, Fei Yao, Ying Chen, Casslynn W.Q. Koh, Yuk Kei Wan, Christopher Hendra, Polly S. Y. Poon, Yeek Teck Goh, Phoebe M. L. Yap, Jing-Yuan Chooi, Wee Joo Chng, Sarah Boon Hsi Ng, Alexandre H. Thiéry, W.S. Sho Goh, Jonathan Göke

This paper introduces xPore, a method to detect differential RNA modifications from direct RNA sequencing, showing it identifies m6A sites with single base resolution and quantifies modification rate differences across cell lines.

Nature Biotechnology · Jul 19, 2021Peer-reviewedBioinformatics