SPoC

SPoC provides automated, statistically robust resolution estimation for cryo-electron microscopy (cryo-EM) maps using permutation sampling and False Discovery Rate (FDR)-controlled adaptive thresholding of Fourier Shell Correlation (FSC) curves.

Key Features:

• Fourier Shell Correlation (FSC) Analysis: Applies adaptive thresholding to FSC curves to determine resolution thresholds objectively.
• Permutation Sampling and False Discovery Rate (FDR) Control: Uses permutation sampling combined with FDR control to provide statistically robust significance assessment of resolution estimates.
• Global, Local, and Directional Resolution Estimation: Produces resolution assessments at global, local, and directional scales to characterize spatial and anisotropic resolution variations.
• Mask-Free Operation: Performs resolution estimation without requiring masks, avoiding biases introduced by map masking.

Scientific Applications:

• Cryo-EM map validation: Provides objective resolution metrics to validate the quality and significance of cryo-EM reconstructions.
• Structural analysis of protein complexes and viruses: Supports interpretation of structural detail in studies of protein complexes and viral assemblies by characterizing resolution across maps.

Methodology:

Adaptive thresholding of Fourier Shell Correlation (FSC) curves using permutation sampling combined with False Discovery Rate (FDR) control.