Blog
Articles tagged: DeepLC
Tutorial: Selecting the best DeepLC model
Mascot Server 3.0 can refine database search results using predicted retention times. The predictions are provided by DeepLC, and Mascot ships with twenty models for different gradient lengths, column types and peptide properties. This tutorial shows how to select the best model for your experiment. What is DeepLC? DeepLC is a retention time predictor that uses a convolutional neural network [...]
Predicted RT and fragment intensity in Mascot Server 3.0
A release candidate of the next version of Mascot Server is running on this website. One of the headline features in the preliminary release notes is refining results with machine learning, which includes integration with MS2Rescore. Below is a preview for you to enjoy while we are beta testing the new release. What is MS2Rescore? Mascot Server has shipped with [...]