Thrilled to share our latest work from @JoeEcker lab, using cutting-edge snmC-seq3 and snm3C-seq technologies to generate 301,626 methylomes and 176,003 mC+3C multiome profiles from 117 dissected regions throughout the adult mouse brain. (1/n)
https://t.co/APlIJSW7VP
Happy to see our paper in print -- we show how accounting for gene co-expression can help with robust estimation of enhancer-gene links. Congrats to @FangmingXie@EthanArmand2 and our peerless co-authors, incl @chongyuanluo@JoeEcker@HongkuiZeng Bing Ren and more!
Future students/postdocs/collaborators—if you are interested in my work, please check out my (temporary) research website. Happy to discuss any potential projects that we could work on together in the future! https://t.co/G0bgqAkJB5
So excited to share our latest work with @ecallaway & @JoeEcker using Epi-Retro-Seq, combining retrograde virus tracing & single-cell methylation profiling, to link epigenetic cell types to their long-distance projections. 🧠🔬 (1/8)https://t.co/pS8gTk99RO
Last month, we shared a preprint on whole mouse brain atlas🐭🧠 Wondering how we tackled the massive data demands? Our latest blog unveils how @skypilot_org, an open-source cloud computing framework, empowered us to handle atlas-level data in the cloud☁️! https://t.co/yMCuGlfz8J
@CarlosEAlvare17@JoeEcker Thank you Carlos for bringing up this interesting point. We used C57BL/6 to be consistent with many other BICCN studies. But yes, genetic variations will be a very interesting future direction, although probably need to restrict to a certain brain region or cell types.
Special thanks to all BICCN consortium collaborators! Your contributions and discussions over the past 5 years have been invaluable. It's been an honor working with you all. (9/9)
Thrilled to share our latest work from @JoeEcker lab, using cutting-edge snmC-seq3 and snm3C-seq technologies to generate 301,626 methylomes and 176,003 mC+3C multiome profiles from 117 dissected regions throughout the adult mouse brain. (1/n)
https://t.co/APlIJSW7VP