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Yun Li Profile
Yun Li

@yunliunc

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Professor of Genetics and Biostatistics @UNC statistical genomics, genetic dissection of complex disease , single-cell, chromatin spatial organization

Chapel Hill, NC
Joined July 2014
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@yunliunc
Yun Li
1 year
Our UNC CompMed Program has a new open-rank faculty position open.
@kahoadley
Katie Hoadley
1 year
We are looking for new faculty for our UNC CompMed Program. Check out the details below if interested in applying. @CompMedUNC
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@afhuming
Ming Hu
2 years
https://t.co/NGBUL61109 I am very excited to share our recent paper on @Nature . It is a great collaboration with Dr. Murre and Dr. Fisch at UCSD. We discovered a molecular mechanism to shape nuclear morphology. @CCLRI
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@yunliunc
Yun Li
2 years
Proud to be part of the team presenting the PRIMED method for high throughput, base pair resolution editing! Beautiful cover with @MolecularCell Congratulations to @YinShenLab
@YinShenLab
Yin Shen
2 years
We are delighted that our PRIME method found its home @MolecularCell. The cover art is exquisitely designed by the leader behind the PRIME development @Xingjie_Ren. Congratulations to @Xingjie_Ren @HanYang_Henry and the entire team!
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@YinShenLab
Yin Shen
2 years
We are delighted that our PRIME method found its home @MolecularCell. The cover art is exquisitely designed by the leader behind the PRIME development @Xingjie_Ren. Congratulations to @Xingjie_Ren @HanYang_Henry and the entire team!
@MolecularCell
Molecular Cell
2 years
Our last issue for 2023 is online now: https://t.co/ie4LKjhlBX
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@yunliunc
Yun Li
2 years
I am thrilled to share our variant-to-function study for Alzheimer's disease in microglia: online today @NatureGenet. Wonderful collaboration with @YinShenLab! Thanks also to @LiGanLab
@YinShenLab
Yin Shen
2 years
Our new study of linking variants to function for Alzheimer’s disease (AD) is online toady @NatureGenet https://t.co/Preb5g9BTd. Joint effort with @yunLiUNC. We present a systematic approach for advancing genetic associations to cell type-specific phenotypes and mechanisms. 1/11
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@YinShenLab
Yin Shen
2 years
We are excited to share our work on genome-scale functional characterization of candidate cis-regulatory elements (cCREs) in iPSCs and during neuronal differentiation, funded by @ENCODE_NIH and @4DNucleome https://t.co/RTm5MH28mi 1/11
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biorxiv.org
Genome-wide association studies (GWAS) have identified thousands of non-coding variants that contribute to psychiatric disease risks, likely by perturbing cis -regulatory elements (CREs). However,...
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@yunliunc
Yun Li
2 years
Very pround to be part of the excellent team presenting PRIME, a game-changing high-throughput method for characterizing DNA sequences with all possible nucleotide substitutions. Enjoyed working with @YinShenLab @ziv_elad @xingjie_ren and @HanYang_Henry !
@YinShenLab
Yin Shen
2 years
We are thrilled to announce PRIME, a game-changing high-throughput method for characterizing DNA sequences with all possible nucleotide substitutions. We had great collaborations with @ziv_elad @yunliunc. Congratulations to the first authors @xingjie_ren and @HanYang_Henry!
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@YinShenLab
Yin Shen
2 years
We are thrilled to announce PRIME, a game-changing high-throughput method for characterizing DNA sequences with all possible nucleotide substitutions. We had great collaborations with @ziv_elad @yunliunc. Congratulations to the first authors @xingjie_ren and @HanYang_Henry!
@Xingjie_Ren
Xingjie Ren
2 years
Super excited to share our new preprint from the @YinShenLab. We developed PRIME, a high throughput prime editing screen method. PRIME allows us to characterize the human genome at the base pair resolution and at scale. 1/8 https://t.co/b2VyFUhLT6
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@mikelove
Michael Love
3 years
Excited to share Euphy Wu's @FennecPaaaw 1st preprint from the lab: SEESAW, a method to detect isoform-level allelic imbalance from RNA-seq while accounting for uncertainty, a collaboration with @nomad421 and his group, as well as others along the way. https://t.co/Vortp2KBEM
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@yunliunc
Yun Li
4 years
I'm very pleasured to announce the publication of our TOP-LD: https://t.co/as0Rf5gcNb. A handy and fast query to search LD information across multiple populations using TOPMed WGS data: https://t.co/cmPOlIXHQR Great collaboration with @AuerPL
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cell.com
Current publicly available tools that allow rapid exploration of linkage disequilibrium (LD) between markers (e.g., HaploReg and LDlink) are based on whole-genome sequence (WGS) data from 2,504...
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@yunliunc
Yun Li
4 years
Our work that carefully evaluated Hi-C data enhancement methods for enhancing PLAC-seq and HiChIP data: https://t.co/qpbFA0xxX2 Always enjoyed collaboration with @afhuming
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academic.oup.com
Abstract. The three-dimensional organization of chromatin plays a critical role in gene regulation. Recently developed technologies, such as HiChIP and pro
@afhuming
Ming Hu
4 years
systematic evaluation of Hi-C data enhancement methods for enhancing PLAC-seq and HiChIP data https://t.co/FhmKl060CF Great collaboration with @yunliunc
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@afhuming
Ming Hu
4 years
Integrative analysis of the 3D genome and epigenome in mouse embryonic tissues https://t.co/3JoJCJcIvY Glad to share our recent preprint. Great collaboration with Dr. Bing Ren.
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biorxiv.org
While a rich set of putative cis -regulatory sequences involved in mouse fetal development has been annotated recently based on chromatin accessibility and histone modification patterns, delineating...
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@afhuming
Ming Hu
4 years
AddThis | Home https://t.co/niALlszz0L Glad to share our recent forum about single cell Hi-C in @TrendsGenetics Great collaboration with Dr. Miao Yu and @yunliunc
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@YinShenLab
Yin Shen
4 years
CRISPRpath is out today! https://t.co/lsqH6aYlN6 Congratulations to our talented postdoc @xingjie_ren! I feel lucky to work with many great collaborators, including @yunliunc, @afhuming, Bing Ren, and Wei Wang at UCSD.
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science.org
A new CRISPR screening strategy allows characterizing enhancers for multiple genes associated with converging phenotypes.
@YinShenLab
Yin Shen
5 years
I am excited to introduce CRISPRpath, an innovative way of simultaneously characterizing cis-regulatory elements for multiple genes with converging phenotypes. This project is conceived and led by a talented postdoc scholar @xingjie_ren with many others.
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@afhuming
Ming Hu
4 years
https://t.co/5ntcKwjtkR Glad to share our recent work SnapHiC, a method to call loops from single cell Hi-C data. Great collaboration with Dr. Bing Ren and Dr. Yun Li @yunliunc
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nature.com
Nature Methods - SnapHiC offers a computational tool for improving detection of chromatin loops from single-cell Hi-C data.
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@NadavAhituv
Nadav Ahituv
5 years
Dissecting the temporal code of neural differentiation. Great work by @AnatKreimer, @TalAshuach, @TakaInoue5 and @YosefLab! Massively parallel reporter perturbation assay uncovers temporal regulatory architecture during neural…
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@afhuming
Ming Hu
5 years
Beautiful work from @YinShenLab So glad to contribute to this paper.
@YinShenLab
Yin Shen
5 years
I am excited to introduce CRISPRpath, an innovative way of simultaneously characterizing cis-regulatory elements for multiple genes with converging phenotypes. This project is conceived and led by a talented postdoc scholar @xingjie_ren with many others.
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