KSEAPlus is a computational tool that implements a number of kinase activity inference algorithms to allow for the quantification of kinase activity from mass spectrometry-based phosphoproteomic data. KSEAPlus enables the analysis of multi-condition datasets. Currently offered algorithms include KSEA Z-Test, KARP and Kolmogorov-Smirnov test. All algorithms can be ran against one of three kinase-substrate databases: PhosphoSitePlus, PDTS and EDGES.
KSEAPlus is currently running on a free Heroku dyno: https://ksea-plus.herokuapp.com
- Flask: serving as a Python web microframework.
- Celery: background task manager for running the analyses in application background.
- Gunicorn: acting as a WSGI server.
Full documentation containing instructions on how to use KSEAPlus is available here.