text: user4595: I have extensively read about percent mito in Seurat but I got more and more confused
  Let's say we want to keep cells with maximum 20% of their expressed genes are mitochondrial genes, so shall I set percent.mito < 20 or percent.mito < 0.2 or percent.mito < 80 ?
  
  user104: Checkout the first Seurat tutorial. To filter cells with >20% mitochondrial counts:
  obj[["percent.mito"]] <- PercentageFeatureSet(obj, pattern = "^MT-")
  obj <- subset(obj, subset = percent.mito < 20)
  
  
original_text: 4595: <p>I have extensively read about <code>percent mito</code> in Seurat but I got more and more confused</p>
  <p>Let's say we want to keep cells with <code>maximum 20%</code> of their expressed genes are mitochondrial genes, so shall I set <code>percent.mito &lt; 20</code> or <code>percent.mito &lt; 0.2</code> or <code>percent.mito &lt; 80</code> ?</p>
   104: <p>Checkout the first <a href="https://satijalab.org/seurat/articles/pbmc3k_tutorial.html" rel="nofollow noreferrer">Seurat tutorial</a>. To filter cells with &gt;20% mitochondrial counts:</p>
  <pre><code>obj[[&quot;percent.mito&quot;]] &lt;- PercentageFeatureSet(obj, pattern = &quot;^MT-&quot;)
  obj &lt;- subset(obj, subset = percent.mito &lt; 20)
  </code></pre>
  