Structures of macromolecules in their native state provide unique unambiguous insights into their functions. Cryo-electron tomography combined with subtomogram averaging demonstrated the power to solve such structures in situ at resolutions in the range of 3 Angstrom for some macromolecules. In order to be applicable to structural determination of the majority of macromolecules observable in cells in limited amounts, processing of tomographic data has to be performed in a high-throughput manner. Here we present TomoBEAR - a modular configurable workflow engine for streamlined processing of cryo-electron tomographic data for subtomogram averaging. TomoBEAR combines commonly used cryo-EM packages and reasonable presets to provide a transparent "white box" for data management and processing. We demonstrate applications of TomoBEAR to two datasets of purified proteins and to a membrane protein RyR1 in a membrane and demonstrate the ability to produce high resolution with minimal human intervention. TomoBEAR is an open-source and extendable package, it will accelerate the adoption of in situ structural biology by cryo-ET.
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