Chayaporn Nok Suphavilai @nokcs
Joined June 2009-
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🎉 Exciting News! 🎉 We are thrilled to announce that Dr. Suphavilai Chayaporn has been awarded the GIS Innovation Fellow FY24! 🏆 Dr. Suphavilai is spearheading an innovative project at GIS, aiming to develop clinical-grade metagenomic diagnostic systems for effective…
Find out how our researchers at @astar_gis—Associate Director @NiranjanTW, Scientist and GIS Innovation Fellow @nokcs and Dr Karrie Ko—discovered a new variation of 𝘊𝘢𝘯𝘥𝘪𝘥𝘢 𝘢𝘶𝘳𝘪𝘴 (𝘊.𝘢𝘶𝘳𝘪𝘴)—𝗰𝗹𝗮𝗱𝗲 𝗩𝗜—a drug-resistant yeast that kept infectious disease…
Tech Alert! 🚀🧬 We can now determine the sequence of DNA with non-canonical bases in a direct and high-throughput manner with Nanopore sequencing. Check out our preprint for details: biorxiv.org/content/10.110…
Senior scientist at @astar_gis Dr. Chayaporn Suphavilai @nokcs is one of Singapore's Top 100 Women in Tech 2023 honorees. She is passionate about applying genomic sequencing, analyses, and artificial intelligence techniques to make tangible differences in the healthcare domain.…
Excited to share our work on city-wide metagenomic surveillance of hawker centres in Singapore! w/@macadology Several surprising findings here ... see thread medrxiv.org/content/10.110…
One year after submission, 7 reviewers, 3 rounds of rebuttals the C auris 6th clade is established. OA. Detection and characterisation of a sixth Candida auris clade in Singapore: a genomic and phenotypic study - The Lancet Microbe thelancet.com/journals/lanmi…
Check out our paper now on @LancetMicrobe ! We @nokcs @NiranjanTW @JacquesMeis @km_tsui made the discovery in June 2023 and made the data available for the community as a preprint in August 2023. Now it is finally here! thelancet.com/journals/lanmi… #candidia #candidaauris #Genomics
MetageNN - a memory efficient taxonomic classifier - is now out in BMC Bioinformatics #metagenomics #AI MetageNN outperforms other machine learning-based metagenomic classifiers, and shows higher sensitivity than kmer-based tools @rafaelperes @nokcs tinyurl.com/mvr5th8j
The MetageNN paper is finally out on bioRxiv! MetageNN outperforms recent machine learning based approaches for taxonomic classification, and shows higher sensitivity than kmer based tools for novel taxa ... w/ @rafaelperes @nokcs biorxiv.org/content/10.110…
By bringing #genomics tools to the bedside, researchers successfully tracked emergent mutations in immunocompromised #COVID19 patients and modified infection control measures to better suit their needs. More on this study in our latest article ⬇️ bit.ly/3Pon2PZ
Brilliant work and collaboration with @nokcs @karriekkko @JacquesMeis @NiranjanTW Discovery of the sixth Candida auris clade in Singapore medrxiv.org/content/10.110…
Discovery of the sixth Candida auris clade in Singapore medrxiv.org/content/10.110… We are excited to share our recent discovery of the sixth major Candida auris clade in Singapore @10minus6cosm @nokcs @JacquesMeis @NiranjanTW @km_tsui
We integrated raw inconsistent drug response data to build an integrative pharmacogenomics database. CREAMMIST provides easy-to-use statistics and uncertainty info for various downstream analyses, such as identifying biomarkers and machine learning models. academic.oup.com/nar/advance-ar…
@nokcs, @karriekkko : Sentinel-site sequencing in near real-time for detecting clonal outbreak clusters and providing alerts. Our new case study with @nanopore sequencing for whole-genome characterization of Shigella flexneri isolates frontiersin.org/articles/10.33…
Our preprint on characterizing gut microbial diversity in Southeast Asians is finally out! Short summary: Quality is better than quantity for deriving population-specific references for metagenomics biorxiv.org/content/10.110…
Imagine a technology that will let you see all microbes everywhere... well we already have it in the form of #metagenomics! Its time to push the frontiers and deploy it so that we aren't blind to our microbial world, its huge potential & occasional dangers nature.com/articles/s4156…
Fruitful collaboration with @karriekkko! An interactive interface for local hospitals to rapidly characterize and inspect healthcare-associated SARS-CoV-2 transmission. And thanks for the helpful advice from @NiranjanTW. frontiersin.org/article/10.338…
What a pleasant surprise to see this out in @GenomeMedicine! Great collaboration with @nokcs @asharmaiisc @DasguptaRam & Shumei Chia
What a pleasant surprise to see this out in @GenomeMedicine! Great collaboration with @nokcs @asharmaiisc @DasguptaRam & Shumei Chia
We have some "strong" transfer learning mojo for you ... w/ @rafaelperes @nokcs TUGDA: task uncertainty guided domain adaptation for robust generalization of cancer drug response prediction from in vitro to in vivo settings academic.oup.com/bioinformatics…
Our new framework, CaDRReS-Sc, for predicting cancer drug response in heterogeneous tumors based on single-cell data. github.com/CSB5/CaDRReS-Sc biorxiv.org/content/10.110… I’m so grateful for the support and guidance from @NiranjanTW @RDasgupt @asharmaiisc :)
Our new framework, CaDRReS-Sc, for predicting cancer drug response in heterogeneous tumors based on single-cell data. github.com/CSB5/CaDRReS-Sc biorxiv.org/content/10.110… I’m so grateful for the support and guidance from @NiranjanTW @RDasgupt @asharmaiisc :)
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