Unknown

Dataset Information

0

EMDA: A Python package for Electron Microscopy Data Analysis.


ABSTRACT: An open-source Python library EMDA for cryo-EM map and model manipulation is presented with a specific focus on validation. The use of several functionalities in the library is presented through several examples. The utility of local correlation as a metric for identifying map-model differences and unmodeled regions in maps, and how it is used as a metric of map-model validation is demonstrated. The mapping of local correlation to individual atoms, and its use to draw insights on local signal variations are discussed. EMDA's likelihood-based map overlay is demonstrated by carrying out a superposition of two domains in two related structures. The overlay is carried out first to bring both maps into the same coordinate frame and then to estimate the relative movement of domains. Finally, the map magnification refinement in EMDA is presented with an example to highlight the importance of adjusting the map magnification in structural comparison studies.

SUBMITTER: Warshamanage R 

PROVIDER: S-EPMC8935390 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

EMDA: A Python package for Electron Microscopy Data Analysis.

Warshamanage Rangana R   Yamashita Keitaro K   Murshudov Garib N GN  

Journal of structural biology 20211213 1


An open-source Python library EMDA for cryo-EM map and model manipulation is presented with a specific focus on validation. The use of several functionalities in the library is presented through several examples. The utility of local correlation as a metric for identifying map-model differences and unmodeled regions in maps, and how it is used as a metric of map-model validation is demonstrated. The mapping of local correlation to individual atoms, and its use to draw insights on local signal va  ...[more]

Similar Datasets

| S-EPMC6583990 | biostudies-literature
| S-EPMC10085912 | biostudies-literature
| S-EPMC3636164 | biostudies-literature
| S-EPMC11800426 | biostudies-literature
| S-EPMC7217489 | biostudies-literature
| S-EPMC9710650 | biostudies-literature
2023-06-21 | GSE202638 | GEO
| S-EPMC6462781 | biostudies-literature
| S-EPMC8275978 | biostudies-literature
| S-EPMC9805561 | biostudies-literature