Xushen

PhD with Chengqi Yi at PKU
Postdoc with Manolis Kellis at MIT
Currently a PI at Zhejiang University

[bioRxiv Genomics @biorxiv_genomic]

Deep learning modeling of ribosome profiling reveals regulatory underpinnings of translatome and interprets disease variants https://t.co/dPynEbQEJa #biorxiv_genomic

[Manolis Kellis @manoliskellis]

Congrats #KellisLab, with 4 platform presentations, 1 Epstein award winner, and 5 posters, all by #trainees at #ASHG22
Each talk/poster in the thread below 🧵
Congrats to @__ben_james__ @Xushen18 @yk_tani @boix_carles #ChristianHwa & the whole team!
Proud & grateful 🧑‍🎓👩‍🔬💻🧪🧬

[Manolis Kellis @manoliskellis]

Don't miss our #SingleCell #Epigenomics analysis of #Alzheimers #GWAS and #EpigenomicErosion in late-stage AD by @Xushen18 and @__ben_james__ at #ASHG22 starting now PetreeD/West
Abstract: https://t.co/4WwUGnIORI
Session: https://t.co/TK50K1RKJz
Slides: https://t.co/JWGySRlS5k

[Xushen @Xushen18]

@jmcbon @manoliskellis @NatureGenet @kdyhl @ypp_lab @GTExPortal @NIH @NIH_CommonFund @broadinstitute @MIT_CSAIL @MIT @harvardmed @helpkids @NIEHS @genome_gov @ENCODE_NIH Thank you John for the question! The former one that you mentioned would be the right answer, which is gradually including more PFs (1, 1-2, 1-3, 1-4, and so on) as covariates when testing QTL calling. Please email me at [email protected] if you have further questions. Thanks!

[Xushen @Xushen18]

@paolabronson @manoliskellis @NatureGenet @kdyhl @ypp_lab @GTExPortal @NIH @NIH_CommonFund @broadinstitute @MIT_CSAIL @MIT @harvardmed @helpkids @NIEHS @genome_gov @ENCODE_NIH Thank you Paola! The summary statistics can be found here: https://t.co/J2JorPAYXs.

[Manolis Kellis @manoliskellis]

Excited to share our #eGTEx #m6A #QTL profiling and analysis of #brain #heart #muscle #lung in @NatureGenet
https://t.co/LZwRREEozv
by @Xushen18 @kdyhl @ypp_lab #BenoitMolinie #RichardGregory @GTExPortal @NIH @NIH_CommonFund
#GTEx #EpiTranscriptomics #m6AQTLs #eQTLs #RBPs #GWAS

[Nature Genetics @NatureGenet]

There's still time to register for our webcast with @manoliskellis and @annagloyn
Variant to function: Understanding disease mechanisms through integration of genetic data with epigenomic profiling | https://t.co/PvwXh8LDR4

[Xushen @Xushen18]

Thank @manoliskellis, @DrLiHueiTsai for making it happen! It’s great to work with #CarlesBoix on this project!

[Manolis Kellis @manoliskellis]

Big congrats to #XushenXiong for a great talk on our #scATAC dissection of #Alzheimers in collaboration with @DrLiHueiTsai at @MIT_Picower and #DavidBennett at @RushUniversity You can read the abstract here: https://t.co/dsdqutOArr

[Xushen @Xushen18]

Thank you Dr. Gerstein! A great pleasure!

[Mark Gerstein @MarkGerstein]

X Xiong from @ManolisKellis lab at #ASHG20: Nice presentation of Single-cell ATAC-seq in Alzheimer's disease, involving ~161K cells. Calculates sn-aQTLs (single-cell ATAC QTLs) & relates them to GWAS loci.

[Xushen @Xushen18]

@manoliskellis @DrLiHueiTsai @MIT_Picower @RushUniversity Thank you so much Manolis! So glad that people like our work!