text: user8610: I am new to R and computational biology. I am trying to look through a published data set to check for gene expression for my own project. I am having trouble finding materials to teach me how to analyze single cell RNA sequencing data on R from the GEO NCBI database.
  This is the data that I am trying to access https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE138651
  I would appreciate any directions or suggestions for tutorials.
  Thanks!
  
  user3541: The simplest would be using a count matrix (at the end of the link you have shared, section "Supplementary file"). For example GSE138651_Vagal_WholeNodoseSeq_raw.mtx.gz corresponds to "raw" count matrices obtained after mapping and counting the reads. This file, along with the GSE138651_barcodes.tsv.gz and GSE138651_genes.tsv.gz can be used to "read" the data into R; to that end there are many options in the form of packages, Seurat is one of the best documented and hence is beginner-friendly.
  
original_text: 8610: <p>I am new to R and computational biology. I am trying to look through a published data set to check for gene expression for my own project. I am having trouble finding materials to teach me how to analyze single cell RNA sequencing data on R from the GEO NCBI database.</p>
  
  <p>This is the data that I am trying to access <a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE138651" rel="nofollow noreferrer">https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE138651</a></p>
  
  <p>I would appreciate any directions or suggestions for tutorials.</p>
  
  <p>Thanks!</p>
   3541: <p>The simplest would be using a count matrix (at the end of the link you have shared, section "Supplementary file"). For example <code>GSE138651_Vagal_WholeNodoseSeq_raw.mtx.gz</code> corresponds to "raw" count matrices obtained after mapping and counting the reads. This file, along with the <code>GSE138651_barcodes.tsv.gz</code> and <code>GSE138651_genes.tsv.gz</code> can be used to "read" the data into <code>R</code>; to that end there are many options in the form of packages, <a href="https://satijalab.org/seurat/" rel="noreferrer">Seurat</a> is one of the best documented and hence is beginner-friendly.</p>
  