Excited to share our latest work in @NatureGenetics (https://t.co/ID3uRacigt). We introduce SpaMosaic, a new computational method designed to advance spatial omics by mosaic integration of diverse datasets with partially overlapping modalities.
Very excited to share our recent paper titled 'Single-nucleus transcriptomics reveals a distinct microglial state and increased MSR1-mediated phagocytosis as common features across dementia subtypes' published in @GenomeMedicine https://t.co/xO39konjBq
Excited to share our latest @NatureMedicine study from our new center @ARC_Neuro! 🧠✨ Using spatial transcriptomics & scRNA-seq, we uncover how Aβ-targeting immunotherapies shape microglial responses in AD patient brains.
A thread with our key findings is below! 🧵(1/15)
🎉 Congrats to the Singapore research team on ezSingleCell! 🎉 A game-changer for #singlecell & #spatialbiology, it simplifies data analysis from platforms like Chromium, Visium & Xenium without programming expertise! 🚀 Learn more: https://t.co/PnbtoVFFHt
🚀 DISCO December Update 🚀
📊 8,529,538 cells from 1,345 samples across 94 projects added in this month's update! 🎉
Dive in and explore the data that matters to you! 🧬 Check it out here: https://t.co/hOE59oMcfp
#Bioinformatics#SingleCell#LLM#DISCO
🎉 Excited to share that our paper DISCO: a database of Deeply Integrated human Single-Cell Omics data has reached 100 citations! 🚀 Grateful for all the researchers utilizing and building upon DISCO. Here's to advancing single-cell biology together! 💡📊
#SingleCell #Bioinformatics
https://t.co/8dcut73g1C
@FEBSnews@FEBS_JS@FEBSOpenBio@FEBSJournal Our keynote of Career Day is a FEBS-powered breakout lecture by Dr. Jinmiao Chen (@CJM_lab)! 🌟
She introduces the fundamentals of spatial omics and shares her lab's cutting-edge AI-driven analysis method, STAMP (Zhong et al., 2024). 🚀
🚀 scEnrichment Update!
The scEnrichment tool now features an updated reference geneset with 524 cell type 🧬 and phenotype 🔬-related genesets!
🎯 Input your geneset to uncover enriched phenotypes or cell types with ease.
🔗 Try it here https://t.co/2JvRwMG0rQ
#scRNAseq #Bioinformatics #Genomics 🧑🔬✨
🚀 Exciting update! DISCO now supports batch downloads—access data from 113,277,088 cells across 18,402 samples with ease. Perfect for training your LLMs or fueling other applications! 🌐📊 #SingleCellData#Bioinformatics#AI@LLM
https://t.co/16Yjn2gSUa