slides: https://docs.google.com/presentation/d/1ZlI-1D2nM01zJCOsR3KU3gZG-_NRs_39pZ93raw5JG8/edit?uspsharing

In this guide, we discuss bioinformatics methods for single-cell RNA sequencing data analysis. We cover topics such as QC of RNA sequencing data, and normalization, dimension reduction, clustering, and differential gene expression analysis.

If you are new to the world of bioinformatics and want to start analyzing your single-cell RNA sequencing data, then this guide is for you! By the end of this guide, you will have a good understanding of how to analyze the data. #bioinformatics #computationalbiology #bioinformaticstutorial #singlecell #rstats

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