Galaxy | Tool Preview

PyProphet protein (version
This file needs to be in OSW format (--in)
(--parametric / --no-parametric)
(--pfdr / --no-pfdr)
(--pi0_smooth_log_pi0 / --no-pi0_smooth_log_pi0)
(--lfdr_truncate / --no-lfdr_truncate)
(--lfdr_monotone / --no-lfdr_monotone)

What it does

PyProphet: Semi-supervised learning and scoring of OpenSWATH results.

Infer proteins and conduct error-rate estimation in different contexts.

PyProphet is a Python re-implementation of the mProphet algorithm (Reiter 2010 Nature Methods) optimized for SWATH-MS data acquired by data-independent acquisition (DIA). The algorithm was originally published in (Telemann 2014 Bioinformatics) and has since been extended to support new data types and analysis modes (Rosenberger 2017, Nature biotechnology and Nature methods).

For more information, visit