Author

Hannah Nicholas

Agency for Science, Technology and ResearchPrimary ORCID profile (0000-0002-2239-9249 · 3 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Hannah NicholasiD3 papers · Garvan Institute of Medical Research

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Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Chayaporn SuphavilaiiD· 1 shared Chew Wei Leong· 1 shared Hui Pen TaniD· 1 shared Ichiro HiraoiD· 1 shared Mauricio PéreziD· 1 shared Michiko KimotoiD· 1 shared Nicholas Ting Xun OngiD· 1 shared Niranjan NagarajaniD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperSynthetic Biology

Chayaporn SuphavilaiORCID

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1 paper

Recent·Most cited

Direct high-throughput deconvolution of non-canonical bases via nanopore sequencing and bootstrapped learning

Mauricio Pérez, Michiko Kimoto, Priscilla D. Rajakumar, Chayaporn Suphavilai, Rafael Peres da Silva, Hui Pen Tan, Nicholas Ting Xun Ong, Hannah Nicholas, Ichiro Hirao, Chew Wei Leong, Niranjan Nagarajan

This paper demonstrates direct high-throughput sequencing of non-canonical bases using nanopore sequencing and bootstrapped learning, achieving high accuracy and specificity in basecalling.

bioRxiv · Dec 2, 2024 · PreprintSynthetic Biology