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I'm trying out different video styles to teach students about bioinformatics analyses for spatially resolved transcriptomics data. In previous videos, I recorded myself live-coding and narrating through all my thought processes, mistakes, and troubleshooting. Now, I'm trying out sped-up versions. So in this video, I speed through coding a bioinformatics analysis in the R programming language to characterize how cell-types are organized in a breast cancer tissue section profiled by the 10X Visium spatial transcriptomics technology (https://www.10xgenomics.com/products/...) using our reference-free deconvolution analysis tool STdeconvolve (https://www.nature.com/articles/s4146...) Particularly since we have a highschool student interning with us this summer who will be applying STdeconvolve to some new spatial transcriptomics data, I hope this video will be a useful educational resource. See our lab blog for the code from this session to try it out for yourself: https://jef.works/blog/2023/05/29/std... Some potentially helpful moments: - introduction/background: • 10x Visium spatial transcriptomics da... - sped-up coding: • 10x Visium spatial transcriptomics da... - result summary: • 10x Visium spatial transcriptomics da... - lab mascot Remy makes a surprise appearance: • 10x Visium spatial transcriptomics da... Music by Stockaudios (https://pixabay.com/users/stockaudios...)