title: R) Counts.csv.gz file to Seurat object
body: <p>I usually import filtered feature bc matrix including <code>barcodes.tsv.gz</code>, <code>features.tsv.gz</code>, and <code>matrix.mtx.gz</code> files to R environment by <code>Read10X</code> function, and convert the data to Seurat object by <code>CreateSeuratObject</code> function.</p>
  <p>However, I found out that some publicly available processed <code>scRNA-seq data</code> was shared only in the format of <code>counts.csv.gz</code> file.
  So, I tried to convert the <code>counts.csv.gz</code> files to Seurat object via following commands;</p>
  <blockquote>
  <p>countsData&lt;-read.delim(file = &quot;~path/TUMOR1_counts.csv.gz&quot;, header = TRUE, sep = &quot;,&quot;)
  Tumor2 &lt;- CreateSeuratObject(counts = countsData, project = &quot;Tumor2&quot;, min.cells = 3, min.features = 200)</p>
  </blockquote>
  <p>However, the following error occured.</p>
  <blockquote>
  <p>Error in CreateAssayObject(counts = counts, min.cells = min.cells, min.features = min.features) :
  No feature names (rownames) names present in the input matrix</p>
  </blockquote>
  <p>Here is the counts.csv file that looks like this.
  How can I solve this problem?</p>
  <p><img src="https://i.stack.imgur.com/PvFHU.png" alt="enter image description here" /></p>