Ya (Allen) Cui
55 posts
Ya (Allen) Cui
@YaCui7
Assistant Professor of Bioinformatics, School of Medicine, UC Irvine Lab website: https://t.co/9I2KFXsflY
UCI Katılım Şubat 2019
338 Takip Edilen106 Takipçiler
Truly honored and humbled to receive this recognition. Profoundly grateful to my mentors, colleagues, and collaborators. All credit goes to my incredible research team—a group of truly amazing trainees! Wish everyone a very happy holiday season!
UVA SOM Fac Dev@UVaSOMFacDev
Congratulations to Dr. Chongzhi Zang, a recipient of the 2024 Dean's Award for Excellence in Research. Thank you for all the great work you do!
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Thrilled to receive the 2024 NARSAD Young Investigator Grant! Our lab is grateful for the support from @BBRFoundation and my amazing colleagues @WashUGenetics and @WashUNeurosurg. Big shout out
to @jomoronc for his kind advice and collaboration.
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profoundly honored to be selected as a Pinn Scholar. A big thank you to my trainees, collaborators, and colleagues!
UVA School of Medicine@MedicineUVA
Congratulations to the 2024 Class of Pinn Scholars: Jennifer Payne, MD, Jie Sun, PhD, and Chongzhi Zang, PhD. Pinn Scholars are mid-career faculty chosen for their scientific expertise and research productivity. @zangcz #UVA bit.ly/4d1kd1t
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Ya (Allen) Cui retweetledi
In the latest issue! A genome-wide spectrum of tandem repeat expansions in 338,963 humans dlvr.it/T63vLQ
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Thanks to the whole #GV20 team for the hard work in the last few years to discover and understand the novel immune function of #IGSF8.
prnewswire.com/news-releases/…
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Thrilled to share our TR-gnomAD published in Cell @CellPress today! TR-gnomAD is the first biobank-scale genetic reference for ~1.0M Tandem Repeat expansions across 340K humans, facilitating TR-based disease association studies and clinical diagnostics. @superweili
Cell@CellCellPress
Now online! A genome-wide spectrum of tandem repeat expansions in 338,963 humans dlvr.it/T576KX
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@bhattac_a_bt @NatureGenet @bpasaniuc @mikejg84 @connorjops @survolerLA @cindywen2019 Congratulations!
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Thrilled to share our paper on alternative polyadenylation association study (3'aTWAS or APA-TWAS) paper finally out in @NatureComms today @superweili. Fantastic collaboration with Prof. Albert R. La Spada and many thanks to amazing coauthors @FanglueP @Wagnerlab_RNA.
Wei Li@superweili
Our new paper @NatureComms performed the first Alternative polyadenylation transcriptome-wide association study for 11 brain disorders with 17,300 RNA-seq samples. We identified 354 novel APA-linked risk genes including ATXN3 for ALS. nature.com/articles/s4146…
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@tangming2005 Congratulations! HaHaHa! My baby also named Anna, will be born in about the next two weeks!!
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Ya (Allen) Cui retweetledi
Very cool study from the @PardisSabeti lab!
Genome-wide functional screen of 3′UTR variants uncovers causal variants for human disease and evolution cell.com/cell/fulltext/…
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Ya (Allen) Cui retweetledi
📣 New paper!
Happy to announce that our @eQTLCatalogue paper is now published in @NatureGenet!
nature.com/articles/s4158…
@unitartu @UniTartuCS @OpenTargets @emblebi
Kudos to James Hayhurst, @dzerbino, @kauralasoo and all co-authors who made this possible
1/9
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Excited to share our new paper on Nucleic Acids Res @NAR_Open : 3′aQTL-atlas: an atlas of 3′UTR alternative polyadenylation quantitative trait loci across human normal tissues
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Ya (Allen) Cui retweetledi
Our collaborative work with @BinTian_Lab has just been published in @GenomeBiology ! MAAPER works with both bulk and single-cell sequencing data, and paired or unpaired experimental designs. The R package is available at github.com/Vivianstats/MA…. Any feedback is welcome!
Genome Biology@GenomeBiology
MAAPER: model-based analysis of alternative polyadenylation using 3′ end-linked reads, from @vivianstats, @BinTian_lab &co. It can be applied to reads close to, but not spanning, the polyadenylation site, and works with both bulk and single-cell data genomebiology.biomedcentral.com/articles/10.11…
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Ya (Allen) Cui retweetledi
Online @Nature : Rare variant contribution to human disease in 281,104 UK Biobank exomes go.nature.com/3yCNZpo
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Ya (Allen) Cui retweetledi
From Reads to Insights: Integrative Pipelines for Biological Interpretation of ATAC-seq Data. #ATACseq #Bioinformatics #Pipelines
sciencedirect.com/science/articl… #GenomicsProteomicsBioinformatics
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Ya (Allen) Cui retweetledi
Our new scDaPars tool for single-cell alternative polyadenylation is published
@genomeresearch
genome.cshlp.org/content/early/…
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Ya (Allen) Cui retweetledi
Super excited to share our recent work on 3′UTR alternative polyadenylation (APA) quantitative trait loci (3′aQTLs), which can explain ~16.1% GWAS SNPs and are largely distinct from eQTLs. Wonderful collaborations with @Wagnerlab_RNA @LeiLi_bioinfo
nature.com/articles/s4158…
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Ya (Allen) Cui retweetledi
