Alfonso Saera Vila’s Post

View profile for Alfonso Saera Vila, graphic

Bioinformatics - Single Cell - Spatial Transcriptomics

🧬🔍 SCOTCH: Single-Cell Omics for Transcriptome CHaracterization 🧫📊 Presented in a recent bioRxiv article by Zhuoran Xu, Hui-Qi Qu, Joe Chan, Charlly Kao, Hakon Hakonarson, and Kai Wang. SCOTCH uses long-read single-cell RNA for isoform-level characterization and novel isoforms discovery. 📝 Key Highlights: 🚀 SCOTCH overcomes the limitations of short-read sequencing by employing long-read technologies, enabling thorough analyses of complex genomic regions and precise isoform identification. 🧑🔬 Compatible with library preparation platforms from 10X Genomics and Parse Biosciences, and is versatile across diverse cell types such as neurons, hepatocytes, and developing cardiomyocytes. 📈 Differential isoform usage across cell populations, shedding light on cellular functions and disease mechanisms that go beyond traditional gene-level expression analysis. 📚 bioRxiv paper: https://buff.ly/44FsyVx 👨💻 GitHub: https://buff.ly/44CEes2 📢 Join the Conversation 📢 Share your ideas, methods, and tools in the comments! 👇 💬 #SingleCellOmics #Transcriptomics #Genomics #Bioinformatics #SCOTCH #BiotechInnovation #PharmaLeaders

  • No alternative text description for this image

To view or add a comment, sign in

Explore topics