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Yue Wan

Researcher at Genome Institute of Singapore

Publications -  37
Citations -  6020

Yue Wan is an academic researcher from Genome Institute of Singapore. The author has contributed to research in topics: RNA & Nucleic acid structure. The author has an hindex of 13, co-authored 36 publications receiving 5202 citations. Previous affiliations of Yue Wan include Howard Hughes Medical Institute & Nanyang Technological University.

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Long Noncoding RNA as Modular Scaffold of Histone Modification Complexes

TL;DR: The results suggest that lincRNAs may serve as scaffolds by providing binding surfaces to assemble select histone modification enzymes, thereby specifying the pattern of histone modifications on target genes.
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Genome-wide measurement of RNA secondary structure in yeast

TL;DR: A novel strategy termed parallel analysis of RNA structure (PARS), which is based on deep sequencing fragments of RNAs that were treated with structure-specific enzymes, is described, thus providing simultaneous in vitro profiling of the secondary structure of thousands of RNA species at single nucleotide resolution.
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Landscape and variation of RNA secondary structure across the human transcriptome

TL;DR: The initial landscape and variation of RNA secondary structures (RSSs) in a human family trio (mother, father and their child) is reported, which provides a comprehensive RSS map of human coding and non-coding RNAs.
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Understanding the transcriptome through RNA structure

TL;DR: With additional advances in method refinement and interpretation, structural views of the transcriptome should help to identify and validate regulatory RNA motifs that are involved in diverse cellular processes and thereby increase understanding of RNA function.
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In Vivo Mapping of Eukaryotic RNA Interactomes Reveals Principles of Higher-Order Organization and Regulation.

TL;DR: A high-throughput approach, sequencing of psoralen crosslinked, ligated, and selected hybrids (SPLASH), that maps pairwise RNA interactions in vivo with high sensitivity and specificity, genome-wide, highlights the underexplored complexity of RNA interactomes and pave the way to better understanding how RNA organization impacts biology.