Author

Karthick Raja Arulprakasam

Nanyang Technological UniversityORCID 0000-0002-0403-2910Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:C. elegans· 2 Research Focus:database / resource· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1 Approach:experimental assay· 1

Frequent Co-Authors

An-Nikol Kutevska· 2 shared Guillaume ThibaultiD· 2 shared Mani R Kumar· 2 shared Marek MutwiliD· 2 shared Aatira Mehraj· 1 shared Amanda O. ShaveriD· 1 shared Annalise B. PaabyiD· 1 shared Asher D. CutteriD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

An-Nikol Kutevska

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Author profile →

3 papers

Recent·Most cited

Caenorhabditis briggsae ancestral genomic hyper-diversity contrasts with globally distributed genome-wide haplotypes

Nicolas D. Moya, Bowen Wang, Robyn E. Tanny, Michael E.G. Sauria, Lance M. O'Connor, Ayeh Khorshidian, Ryan McKeown, Charlie Gosse, Clayton M. Dilks, Timothy A. Crombie, Gaotian Zhang, Emha Ilhami Rais, Lise Frézal, Viet Dai Dang, Elkana Haryoso, , Erik C. Andersen

The paper analyzes over 2,000 Caenorhabditis briggsae wild strains to uncover genetic diversity, population structure, and evolutionary mechanisms shaping phenotypic variation.

bioRxiv · Dec 14, 2025 · PreprintGenomics

Yeast Knowledge Graphs Database for Exploring Saccharomyces cerevisiae and Schizosaccharomyces pombe

Mani R Kumar, Karthick Raja Arulprakasam, An-Nikol Kutevska, Marek Mutwil, Guillaume Thibault

The paper introduces a yeast knowledge graph database built using AI to extract gene function relationships from publications, providing a searchable resource for yeast research.

Journal of Molecular Biology · Mar 6, 2025Peer-reviewedBioinformatics

Harnessing full-text publications for deep insights into C. elegans and Drosophila connectomes

Karthick Raja Arulprakasam, Janelle Wing Shan Toh, Herman Foo, Mani R Kumar, An-Nikol Kutevska, Emilia Emmanuelle Davey, Marek Mutwil, Guillaume Thibault

The paper extracts and analyzes connectivity information from publications to build searchable connectomes for C. elegans and Drosophila using AI and bioinformatics tools.

BMC Genomics · Nov 13, 2024Peer-reviewedBioinformatics