Wei Li Profile
Wei Li

@superweili

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Professor of Bioinformatics at University of California, Irvine

Irvine, CA
Joined July 2010
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@superweili
Wei Li
1 year
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@grok
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Join millions who have switched to Grok.
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@superweili
Wei Li
1 year
Thrilled to share our UCI TR-gnomAD published in Cell today: UCI TR-gnomAD is the first biobank-scale genetic reference for ~1.0M Tandem Repeat (TR) expansions across 340K humans, facilitating TR-based disease association studies and clinical diagnostics.
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@superweili
Wei Li
3 years
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.
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@superweili
Wei Li
3 years
RT @jsb_ucla: Ultimately, adjusting hidden covariates or not examines different DE effects (conditional vs marginal). But regardless of thi….
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@superweili
Wei Li
3 years
RT @GenomeBiology: Study of false positives when calling differentially expressed genes, from @YM123411, @ge_xinzhou, @FanglueP, @superweil….
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@superweili
Wei Li
4 years
RT @LeiLi_bioinfo: Population-scale genetic control of alternative polyadenylation and its association with human diseases..
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@superweili
Wei Li
4 years
Our new scDaPars tool for single-cell alternative polyadenylation is published .@genomeresearch.
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@superweili
Wei Li
4 years
RT @NatureGenet: 💥An atlas of alternative polyadenylation quantitative trait loci contributing to complex trait and disease heritability |….
nature.com
Nature Genetics - A multi-tissue atlas of alternative polyadenylation (APA) quantitative trait loci (3′aQTLs) identifies approximately 0.4 million common genetic variants associated with the...
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@superweili
Wei Li
4 years
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 .
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@superweili
Wei Li
5 years
Excited to share our new paper: Cellular Heterogeneity–Adjusted cLonal Methylation (CHALM) improves prediction of gene expression.
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nature.com
Nature Communications - Here, the authors introduce Cell Heterogeneity–Adjusted cLonal Methylation (CHALM) as a methylation quantification method that considers the heterogeneity of sequenced...
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@superweili
Wei Li
5 years
Our cancer driver gene prediction paper is finally online.
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@superweili
Wei Li
5 years
RT @XShirleyLiu: Twenty years of Genome Biology. Quite honored that our MACS is one of the top papers published in the last two decades, to….
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genomebiology.biomedcentral.com
Genome Biology is a leading open access journal in biology and biomedicine research, with 9.4 Impact Factor and 14 days to first decision. As the ...
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@superweili
Wei Li
6 years
RT @zangcz: Congratulations @XShirleyLiu !!! Well deserved and long overdue!!
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@superweili
Wei Li
7 years
Nice work.
@Mayr_Christine
Christine Mayr
7 years
Our new paper is online at Nature! Tumor-suppressor genes are often inactivated through changes in mRNA processing that enable expression of truncated proteins. This mechanism of inactivation does not require DNA mutations in the affected genes.
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@superweili
Wei Li
7 years
Congratulations Ping.
@UTMBProvost
UTMB Provost's Office
7 years
Dr. Ping Ji has received a new two-year award from @theNCI to study factors in the development and progression of glioblastoma multiforme, the most common and aggressive brain tumor. Dr. Ji is an Assistant Professor in @bmb_utmb. We congratulate him on this research opportunity!
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