TomoMiner

TomoMiner performs large-scale analysis of cryo-electron tomography (cryo-ET) subtomograms to classify, template-match, align, and average macromolecular complexes in situ.

Key Features:

• Subtomogram classification: Categorizes large numbers of cryo-ET subtomograms by structural characteristics to separate heterogeneous species.
• Template matching: Identifies specific structures within subtomograms by comparing them against known templates.
• Subtomogram averaging: Combines multiple copies of similar particles to enhance signal-to-noise ratio and obtain higher-resolution reconstructions.
• Alignment: Orients subtomograms consistently to enable accurate averaging across datasets.
• Scalable parallel processing: Uses a robust parallel processing architecture to handle tens to hundreds of thousands of subtomograms efficiently.
• Heterogeneity handling: Processes heterogeneous datasets arising from structural and compositional variations among macromolecular complexes.
• Cryo-ET data support: Operates on subtomograms representing three-dimensional electron density distributions of macromolecular complexes in near-native states.

Scientific Applications:

• Structural classification: Distinguishes different macromolecular complexes and structural states within cryo-ET datasets.
• In situ structural analysis: Characterizes macromolecular complexes in their native cellular environments using subtomogram averages and classifications.
• High-resolution reconstruction: Produces improved reconstructions via subtomogram averaging for downstream structural interpretation.
• Heterogeneity analysis: Resolves compositional and conformational heterogeneity across large subtomogram populations.

Methodology:

Performs subtomogram classification, template matching, subtomogram averaging, and alignment using a scalable parallel processing architecture to process large cryo-ET subtomogram datasets.