Our review summarizing the field of the genetics of the human proteome is now published in @NatureRevGenet I would suggest pay attention to Figure 3b https://t.co/3ZfiQNSkJw
I am excited to share that I will be joining South China Agricultural University, where my research will focus on regulomics, complex traits, deep learning, and I am now recruiting master, PhD, and postdoc. If u r interested in these areas, please feel free to reach out to me.
@anshulkundaje@SayanGhosal94@Avsecz I believe deep learning learns nucleotide dependency, while eQTL is population variation. They are different. Even we can observe some correlation in previous experiments, but not completely same
Now online! Genome sequences of extant and extinct gibbons reveal their phylogeny, demographic history, and conservation status https://t.co/KLkNzp8zTY
A atlas of regulatory variants across over 50 tissues advances our understanding of complex phenotypes and adaptive selection in sheep.
The BioRxiv reprint is here: https://t.co/y5fZhCcSUl
The SheepGTEx web portal is here: https://t.co/xhheFMJa3s
Please help spread the word.
The ChickenGTEx portal: a pan-tissue catalogue of regulatory variants shaping transcriptomic and phenotypic diversity. #ChickenVariants#Transcriptomics#Genomics#NAR
https://t.co/SfSU0KxxgL
Thrilled to share two milestone publications from my postdoct:
🐓 ChickenGTEx (https://t.co/J8SBycDom6)
🐄 Bovine FAANG (https://t.co/Aj19Wdfjdq)
As I look ahead to the next step in my career, I warmly welcome recommendations and connections.
📧 [email protected]
Thrilled to share that our ChickenGTEx is out at Nature Genetics @NatureGenet. Thanks all co-authors and collaborators.@ex_farm, @LingzhaoF
https://t.co/MznxenRUIg