Скачать с ютуб Standard scRNAseq preprocessing workflow with Seurat | Beginner R в хорошем качестве

Standard scRNAseq preprocessing workflow with Seurat | Beginner R

In this tutorial we will go over the basics steps of preprocessing for single cell RNA seq data in R using the Seurat package. With this step-by-step guide you will learn the standard pipeline using the Seurat package, which is very common in transcriptomics analysis. We will go through the basic steps of quality control and filtering, normalisation, identification of highly variable features (genes), clustering and different dimensionality reduction methods (PCA, UMAP…). Hope you like it! Link to dataset: https://www.10xgenomics.com/resources... Step by step explanation: https://biostatsquid.com/scrnaseq-pre... -------------------------------------------------------------------------------------------------------------------- Watched it already? If you liked this video or found it useful, please let me know! Your comments and feedback are very much appreciated😊 If you have questions, don't hesitate to leave me a comment down below, I will answer as soon as I can:) -------------------------------------------------------------------------------------------------------------------- Are you into biostatistics and computational analysis? For more biostatistics tools and resources, you can visit: https://biostatsquid.com/ Follow me on Instagram at @biostatsquid:   / biostatsquid   For more • simple and clear explanations of biostatistics methods • computational biology tools • easy step-by-step tutorials in R and Python to analyse and visualise your biological data! Don’t forget to subscribe if you don’t want to miss another video from me! -------------------------------------------------------------------------------------------------------------------- Other interesting resources for scRNAseq preprocessing: A hitchhiker's guide to single-cell transcriptomics and data analysis pipelines: https://www.sciencedirect.com/science... Amazing step-by-step tutorials and scRNAseq analysis workflows with Bioconductor: https://www.singlecellcourse.org/scrn... http://bioconductor.org/books/3.16/OS...