How to manipulate gene expression data from NCBI GEO in R using dplyr | Bioinformatics for beginners

This is a basic hands-on tutorial to manipulate gene expression (RNA-Seq) data from NCBI GEO in #R using the dplyr package. In this video, I have demonstrated how to read gene expression data in R, retrieve metadata using the GEOquery R package, and perform data manipulation using basic dplyr functions. Link to code: https://github.com/kpatel427/YouTubeTutorials/blob/main/dataManipulation.R Link to GEOquery vignette: https://www.bioconductor.org/packages/devel/bioc/vignettes/GEOquery/inst/doc/GEOquery.html Understanding joins in dplyr: https://statisticsglobe.com/r-dplyr-join-inner-left-right-full-semi-anti Show your support and encouragement by buying me a coffee: https://www.buymeacoffee.com/bioinformagic Chapters: 0:00 Intro 0:48 Requirements 0:55 Set up RStudio for Analysis 5:50 Read data in R 8:31 Get metadata using GEOquery package 13:16 dplyr: select(), rename(), mutate() 20:57 Reshape data: gather() 25:42 Join data: left_join() 28:55 dplyr: filter(), group_by(), summarize(), arrange() To get in touch: Website: https://bioinformagician.org/ Github: https://github.com/kpatel427 Email: [email protected] #bioinformagician #bioinformatics #genomics #beginners #tutorial #howto #omics #research #biology #ncbi #GEO #rnaseq #ngs #R #dplyr #tidyverse #GEOquery #data #wrangling #genomics