# Adding Quantitative Tracks Using BigWig Files ## Setting up JBrowse2 ### Install and Serve JBrowse2 > npm install -g @jbrowse/cli > jbrowse create jbrowse2 > cd jbrowse2 > npx serve -s . This command first installs jbrowse's cli, which is essential for creating and managing jbrowse2 instances, and then creates a jbrowse2 project. After that, we cd into it and serve it using npx. Our instance of jbrowse2 can now be accessed at => https://localhost:3000 ## Creating and Loading a BigWig track ### Cleaning wig files Remove any existing track or browser lines from the wig files ### Create chrom.sizes files for the database Use the fetchChromSizes binary to create chrom.sizes files for the existing wig files => http://hgdownload.soe.ucsc.edu/admin/exe/ fetchChromeSizes binary location ### Converting wig files into a bigWig file > wigToBigWig input.wig chrom.sizes bigWig.bw The wigToBigWig binary can be used to convert wig files into the bigWig format. The bigWig format provides a more efficient way to view larger wig files, as only the sections being displayed are rendered to the screen. => http://hgdownload.soe.ucsc.edu/admin/exe/ wigToBigWig binary location ### Adding the bigWig track > jbrowse add-track bigWig.bw --load copy --out /var/www/html/jbrowse Where /var/www/html/ is the static HTML folder of the web server ### Adding it to the custom track management page You can then open it from Add Track and passing the URL ### Alternative way to add it You can open the "Add Track" menu, choose the bigwig file and load it ### Customizing the track Clicking on the "⋮" next to the file name and clicking on settings opens a settings menu, where multiple traits such as the track name, description et cetera can be modified. ## Setting up the Quantitative View ### Getting whole-genome CNV coverage * Click on the ≡ symbol on the top left corner of the view * Click on "Show" and click on "Show all assembly lines" * Now, click on the ⋮ next to the bw file name in the view * Click on Fill mode -> no fill * Click on Score -> Autoscale type -> Local + 3α * Click on Score -> Resolution -> Finer resolution * Repeat the finer resolution step a couple of times