Author

Fu Xiang Quah

University of CambridgeORCID 0000-0002-4616-5324Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Evolutionary Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:chicken / avian· 2 Research Focus:chromatin & epigenetic regulation· 2 Assay:whole-genome sequencing· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Assay:DNA methylation· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Chengwei Ulrika YuaniD· 2 shared Eric Alexander MiskaiD· 2 shared Maria Emilia SantosiD· 2 shared Martin HembergiD· 2 shared Miguel Vasconcelos AlmeidaiD· 2 shared Moritz BlumeriD· 2 shared Richard Michael DurbiniD· 2 shared Alan M SmithiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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2 shared papersEvolutionary Biology

Chengwei Ulrika YuanORCID

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3 papers

Recent·Most cited

Evolutionary BiologyGenome biologyPeer-reviewedJan 22, 2025

Dynamic co-evolution of transposable elements and the piRNA pathway in African cichlid fishes

Miguel Vasconcelos Almeida, Moritz Blumer, Chengwei Ulrika Yuan…·Eric Alexander Miska

The paper investigates the dynamic co-evolution of transposable elements and the piRNA pathway in African cichlid fishes, revealing expanded piwil1 genes and divergent piRNA-producing loci.

7 citations

chicken / avianDNA methylation

𝕏 PostBluesky

Evolutionary BiologybioRxivMar 28, 2024

A pangenomic perspective of the Lake Malawi cichlid radiation reveals extensive structural variation driven by transposable elements

Fu Xiang Quah, Miguel Vasconcelos Almeida, Moritz Blumer…·Eric Alexander Miska

The paper uses a pangenomic approach to analyze Lake Malawi cichlid genomes, revealing extensive structural variation driven by transposable elements.

7 citations

chicken / avianwhole-genome sequencing

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BioinformaticsBMC BioinformaticsPeer-reviewedDec 11, 2022

SC3s - efficient scaling of single cell consensus clustering to millions of cells

Fu Xiang Quah, Martin Hemberg

SC3s provides an efficient k-means clustering method for large single-cell RNA-seq datasets, scaling linearly with cell count.

23 citations

scRNA-seqmachine learning (classical)

𝕏 PostBluesky