R
Raymond Wan
Researcher at Hong Kong University of Science and Technology
Publications - 34
Citations - 1886
Raymond Wan is an academic researcher from Hong Kong University of Science and Technology. The author has contributed to research in topics: Data compression & Block (data storage). The author has an hindex of 11, co-authored 34 publications receiving 1475 citations. Previous affiliations of Raymond Wan include Kyoto University & National Institute of Advanced Industrial Science and Technology.
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Journal ArticleDOI
Adaptive seeds tame genomic sequence comparison.
TL;DR: LAST, the open source implementation of adaptive seeds, enables fast and sensitive comparison of large sequences with arbitrarily nonuniform composition, and guarantees that the number of matches increases linearly, instead of quadratically, with sequence length.
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High-Dimensional Single-Cell Cartography Reveals Novel Skeletal Muscle-Resident Cell Populations
Lorenzo Giordani,Gary J. He,Elisa Negroni,Hiroshi Sakai,Justin Y. C. Law,M. Mona Siu,Raymond Wan,Aurélien Corneau,Shahragim Tajbakhsh,Tom H. Cheung,Fabien Le Grand +10 more
TL;DR: Ten different mononuclear cell types in adult mouse muscle are mapped using a combined approach of single-cell RNA sequencing and mass cytometry to yield crucial insights into muscle-resident cell-type identities and can be exploited to study muscle diseases.
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ViralFusionSeq: accurately discover viral integration events and reconstruct fusion transcripts at single-base resolution
TL;DR: VFS is presented, which combines soft-clipping information, read-pair analysis and targeted de novo assembly to discover and annotate viral–human fusions and demonstrate that VFS is both sensitive and highly accurate.
Journal ArticleDOI
Incorporating sequence quality data into alignment improves DNA read mapping
TL;DR: This work describes how to incorporate the per-base error probabilities reported by sequencers into alignment, which consistently improves mapping accuracy, even when the rate of real sequence difference is only 0.2%.
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Large-Scale Expansion of Human iPSC-Derived Skeletal Muscle Cells for Disease Modeling and Cell-Based Therapeutic Strategies
Erik van der Wal,Pablo Herrero-Hernandez,Raymond Wan,Mike Broeders,Stijn L.M. in 't Groen,Tom J.M. van Gestel,Wilfred F. J. van IJcken,Tom H. Cheung,Ans T. van der Ploeg,Gerben J. Schaaf,W.W.M. Pim Pijnappel +10 more
TL;DR: Fluorescence-activated cell sorting-purified myogenic progenitors generated from healthy controls and Pompe disease iPSCs can be robustly expanded as much as 5 × 1011-fold and is useful for modeling of skeletal muscle disorders and for using patient-derived, gene-corrected cells to develop cell-based strategies.