 So you chose to go for the star flavor of the tutorial. So we will use the output that we already checked, which is the gene counts. And maybe we will just have a look to understand what we need to do to reformat this output. So I click outside, I go scroll down to the star counts, which are here. I just click on the first one, click on the I to have a preview. And what I need to have at the end is just one line per gene and two columns, one with the ID, one with the counts. And what you can see is that on the first four lines we have statistics, so we will need to discard this. And then we have the counts for the unstranded, the first one and the second strand, and we only want the unstranded. So we want to keep the two first columns and to remove the first four lines. So let's start with removing the statistics. So we will use a tool which is called a tail. So select last lines from a dataset tail. And then what we want is to process the whole collection. So we process everything at once and we select the counts. So in my case, it's 43 on collection 26 reads per gene. I click here. And then what I want is to not keep the last end lines because I don't know how many lines there are, but I will keep everything from this line on. So if you remember correctly, there were four lines with statistics. So we want to keep from line five. And then we run the tool. I go back to the history to check that it has been run. And we can see that we have one data, one collection that will be created. And even if it's not launched yet, we can do the second step, which is to cut to keep only the two first columns. And so we will use cut columns from a table. And here we need to give the number of the columns, so column one and column two. This is exactly what we want. And we want to do it on the output of the select last. So it's a collection. And this is what is put by default. So I just run the tool. So perfect. Now I have my output. I just need to wait that the two are run. So the two jobs have finished. And now I can check on the cut how it looks like. I look on the 77. And I can find back my first gene 732 with the 780 columns. So everything is perfect. I have files that I can use. So I will rename the collection. Just click on the pencil. And I will rename it feature count like files. They save the new name when I go back to the history. Now I have my feature count like files. Another output that I will need in the path 2 is the size of each gene. And while a feature count will compute it during the counting, there is a tooling galaxy that we can use to do that. It's called gene lens and GC content. So you may have two versions. So just here is version 1.1. And this is not the one we want. So if you click on the small cubes versions, you can switch to the 1.2. And now what we want to do is select a GTF, which is from my history. It's the same GTF as always. And what I want to compute is not the GC content and gene lens, just the gene lens. And then I run the tool. And this I can keep it for the second step. Now you will be able to join the video that I made for the feature count.