Data reduction for serial crystallography using a robust peak finder.

ABSTRACT: A peak-finding algorithm for serial crystallography (SX) data analysis based on the principle of 'robust statistics' has been developed. Methods which are statistically robust are generally more insensitive to any departures from model assumptions and are particularly effective when analysing mixtures of probability distributions. For example, these methods enable the discretization of data into a group comprising inliers (i.e. the background noise) and another group comprising outliers (i.e. Bragg peaks). Our robust statistics algorithm has two key advantages, which are demonstrated through testing using multiple SX data sets. First, it is relatively insensitive to the exact value of the input parameters and hence requires minimal optimization. This is critical for the algor

SUBMITTER: Hadian-Jazi M 

PROVIDER: S-EPMC8493619 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature