Mol* Volumes and Segmentations: visualization and interpretation of cell imaging data alongside macromolecular structure data and biological annotations

Varování

Publikace nespadá pod Pedagogickou fakultu, ale pod Přírodovědeckou fakultu. Oficiální stránka publikace je na webu muni.cz.
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CHARESHNEU Aliaksei MIDLIK Adam IONESCU Crina-Maria ROSE Alexander HORSKÝ Vladimír CANTARA Alessio SVOBODOVÁ Radka BERKA Karel SEHNAL David

Rok publikování 2023
Druh Článek v odborném periodiku
Časopis / Zdroj Nucleic Acids Research
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www https://doi.org/10.1093/nar/gkad411
Doi http://dx.doi.org/10.1093/nar/gkad411
Klíčová slova 3D structure; visualization; biomacromolecules; organelle- and cell-sized models
Popis Segmentation helps interpret imaging data in a biological context. With the development of powerful tools for automated segmentation, public repositories for imaging data have added support for sharing and visualizing segmentations, creating the need for interactive web-based visualization of 3D volume segmentations. To address the ongoing challenge of integrating and visualizing multimodal data, we developed Mol* Volumes and Segmentations (Mol*VS), which enables the interactive, web-based visualization of cellular imaging data supported by macromolecular data and biological annotations. Mol*VS is fully integrated into Mol* Viewer, which is already used for visualization by several public repositories. All EMDB and EMPIAR entries with segmentation datasets are accessible via Mol*VS, which supports the visualization of data from a wide range of electron and light microscopy experiments. Additionally, users can run a local instance of Mol*VS to visualize and share custom datasets in generic or application-specific formats including volumes in .ccp4, .mrc, and .map, and segmentations in EMDB-SFF .hff, Amira .am, iMod .mod, and Segger .seg. Mol*VS is open source and freely available at https://molstarvolseg.ncbr.muni.cz/.
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