A Coffee with CompBio
In this episode, Alex and Lorena tackle the computational challenges of spatial transcriptomics. Learn how BPCells can help you work with millions of cells without needing terabytes of RAM, discover how Banksy's neighborhood-aware clustering reveals tissue architecture, and explore RCTD's approach to cell type deconvolution in spatially-resolved data. Plus, Lorena reviews Positron, the new R-friendly IDE that's catching attention in the bioinformatics community. https://github.com/bnprks/BPCells [https://github.com/bnprks/BPCells] https://github.com/prabhakarlab/Banksy [https://github.com/prabhakarlab/Banksy] https://github.com/dmcable/spacexr [https://github.com/dmcable/spacexr] https://github.com/bcbio/spatial-reports [https://github.com/bcbio/spatial-reports] https://github.com/seandavi/awesome-single-cell [https://github.com/seandavi/awesome-single-cell] https://positron.posit.co/ [https://positron.posit.co/] Send us your comments, questions, and suggestions using this form 📁: https://forms.gle/ncwo6HZeN4uA9gPg7 [https://forms.gle/ncwo6HZeN4uA9gPg7] Follow us on LinkedIn: https://www.linkedin.com/in/lpantano/ [https://www.linkedin.com/in/lpantano/] and https://www.linkedin.com/in/alexandra-bartlett-926b32109/ [https://www.linkedin.com/in/alexandra-bartlett-926b32109/] Thanks to Amulya Shastry for editing and management support. If you enjoyed the episode, please subscribe and leave us a review. Subscribe here: https://podcast.ausha.co/a-coffee-with-compbio?s=1 [https://podcast.ausha.co/a-coffee-with-compbio?s=1] Hosted on Ausha. See ausha.co/privacy-policy [https://ausha.co/privacy-policy] for more information.
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