Ya (Allen) Cui

Assistant Professor of Bioinformatics, School of Medicine, UC Irvine
Lab website:

[Ya (Allen) Cui @YaCui7]

@YangEricLi @anshulkundaje @NIH @WashUGenetics @WashUNeurosurg Congrats!!

[Ya (Allen) Cui @YaCui7]

Haha, it's time to show my faculty page at UCI. My new lab website: https://t.co/Q7QI5dEDjP

[Ya (Allen) Cui @YaCui7]

@zangcz Congratulations

[Ya (Allen) Cui @YaCui7]

@YangEricLi @BBRFoundation @WashUGenetics @WashUNeurosurg @jomoronc Congratulations!

[Ya (Allen) Cui @YaCui7]

@zangcz Congratulations!!!

[Cell @CellCellPress]

In the latest issue! A genome-wide spectrum of tandem repeat expansions in 338,963 humans https://t.co/dSBpcqhuli

[Ya (Allen) Cui @YaCui7]

@XShirleyLiu Congratulations!!!

[Ya (Allen) Cui @YaCui7]

@xueqiu_lin @CellPress @superweili Thank you so much, Xueqiu!😀

[Ya (Allen) Cui @YaCui7]

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 https://t.co/dSNbb15UBx

[Ya (Allen) Cui @YaCui7]

@bhattac_a_bt @NatureGenet @bpasaniuc @mikejg84 @connorjops @survolerLA @cindywen2019 Congratulations!

[Ya (Allen) Cui @YaCui7]

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.
https://t.co/TnsqVkx0Dp

[Ya (Allen) Cui @YaCui7]

@tangming2005 Congratulations! HaHaHa! My baby also named Anna, will be born in about the next two weeks!!

[Yongsheng Shi @YongshengShi]

Very cool study from the @PardisSabeti lab!

Genome-wide functional screen of 3′UTR variants uncovers causal variants for human disease and evolution https://t.co/yjN1t4j88t

[Nurlan Kerimov @kerimovOn]

📣 New paper!

Happy to announce that our @eQTLCatalogue paper is now published in @NatureGenet!

https://t.co/kMzEW9JFzR
@unitartu @UniTartuCS @OpenTargets @emblebi

Kudos to James Hayhurst, @dzerbino, @kauralasoo and all co-authors who made this possible

1/9

[Ya (Allen) Cui @YaCui7]

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

[Wei Vivian Li @vivianstats]

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 https://t.co/oHsEX7CDb4. Any feedback is welcome!

[Nature Genetics @NatureGenet]

Online @Nature : Rare variant contribution to human disease in 281,104 UK Biobank exomes https://t.co/ZJsMbq3Kky

[Javier Santoyo @jsantoyo]

From Reads to Insights: Integrative Pipelines for Biological Interpretation of ATAC-seq Data. #ATACseq #Bioinformatics #Pipelines
https://t.co/6SwgGaIxfS #GenomicsProteomicsBioinformatics

[Wei Li @superweili]

Our new scDaPars tool for single-cell alternative polyadenylation is published
@genomeresearch
https://t.co/olNLN3H5tq

[Wei Li @superweili]

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
https://t.co/j7nFyPt3pZ