I-PV aims to unify protein features in a single interactive figure. It is easy to generate and highly customizable. Data is checked and then plotted. When you publish figures with I-PV, I recommed you also post the files in the datatracks folder as supplementary.

In I-PV is designed to convey complex proteomics information to the audience in an interesting format.

Below are some sample outputs.

• Run one of the publish scripts within package.json:

npm run publishPatchNPM

• The gitTag.js inside /utils can both update npm version and org_ipv version.
• If you change peripheral files only, increment npm version.
• If you change SNPtoAA.pl, increment both npm version and org_ipv version.
• Choose the right publish script based on above.

• Publish scripts automatically run syncMirror. For it to work, you must have mirror.conf.json that has path key, which points to the folder of the mirror. Both root folder and mirror folders are recursively searched with a depth of 5.
• azure.yaml syncs a private azure repository. You can use it for other projects by changing the REMOTE_ADDR variable.
• sync-public.yml is the azure.yaml equivalent of syncing public remote master with your fork. For it work, create a remote branch with name public and add GIT_USER_NAME and GIT_USER_EMAIL secrets to your repo.