DISCO

The PopComm package is available on both PyPI (pypi.org/project/PopComm) and CRAN (CRAN.R-project.org/package=PopComm).

We leveraged DISCO’s comprehensive single-cell heart datasets to uncover: 🔹 Cellular remodeling across aging and disease 🔹 a novel computational method for inferring LR interactions from population-scale single-cell data #SingleCell #HeartAtlas #Aging #CardiacDisease

🚀 DISCO December Update is now live! 🧬 Released: **Liver (nucleus) atlas v2.0** – Improved integration – Updated annotations 📈 Added 523 new samples across 47 studies immunesinglecell.com #SingleCell #scRNAseq #snRNAseq #Bioinformatics #DISCO

DISCO has moved to a new home! 🎉 👉 immunesinglecell.com We’ve just finished the server migration and will keep updating regularly. Check it out if you need any human #scRNA-seq data

🚀 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: immunesinglecell.org #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 scholar.google.com/citations?view…

🚀 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 immunesinglecell.org/tool/sc_enrich… #scRNAseq #Bioinformatics #Genomics 🧑‍🔬✨

The second version of DISCO is published! 🎉 Huge thanks to the editor, reviewers, and all our users for their valuable feedback and unwavering support! 🙏 #scRNAseq #Bioinformatics @NAR_Open academic.oup.com/nar/advance-ar…

Rediscovering publicly available single-cell data with the DISCO platform #SingleCell #scRNAseq #bioinformatics #AI @CellAtlas immunesinglecell.org

@mengweili9 We've been maintaining and updating DISCO continuously for 4 years and are committed to supporting it long-term. 🚀 Explore the power of consistent, integrated scRNA-seq data with DISCO! #scRNAseq #Bioinformatics #DataIntegration

Inconsistent gene IDs across scRNA-seq datasets pose challenges for LLM training & large-scale analysis. DISCO solves this by processing 95% of data from FASTQ files with a unified reference, ensuring seamless integration. Discover our latest features in our new publication! 🌟 #scRNAseq #Bioinformatics #AI Publication: academic.oup.com/nar/advance-ar… Website: immunesinglecell.org

@mengweili9 Access all DISCO data effortlessly on our download page! 📥 Explore here: immunesinglecell.org/download #scRNAseq #Bioinformatics #DataIntegration

Rediscovering publicly available single-cell data with the DISCO platform academic.oup.com/nar/article/do…

🚀 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 immunesinglecell.org/download

DISCO is back online! The issue was identified as a power supply problem. We are currently setting up a backup server to ensure more stable service in the future. #DISCO #SingleCell immunesinglecell.org/atlas/adipose

Our data server is experiencing issues. We are actively working to resolve them. We apologize for any inconvenience this may cause.

Check out the beta release of DISCO Online Integration Version 2! 🧐🧐🧐 New features include: 1. Allow integration of in-house data with DISCO data 2. Support for up to 100K cells 3. Password protection for secure sharing 4. Metadata editing capabilities 5. More integrated parameters We’re committed to continuously improving DISCO to make single-cell data integration effortless for every bench scientist. LINK: immunesinglecell.org/tool/integrati… If you encounter any issues, please contact us at limengwei833@gmail.com. #scRNAseq #dataIntegration #cell #biology #biologicalDatabase #SingleCell #Seurat

@mengweili9 Like the first version, you can also start integration by selecting samples in repository page (immunesinglecell.org/repository/tis…)

Very excited to present our new algorithm - SpatialGlue that deciphers spatial domains from spatial multi-omics data. To the best of our knowledge, SpatialGlue is the first algorithm for analyzing spatial multiomics data. nature.com/articles/s4159…