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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F23%3A00131662" target="_blank" >RIV/00216224:14310/23:00131662 - isvavai.cz</a>

Alternative codes found

RIV/61989592:15310/23:73621477

Result on the web

<a href="https://doi.org/10.1093/nar/gkad411" target="_blank" >https://doi.org/10.1093/nar/gkad411</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1093/nar/gkad411" target="_blank" >10.1093/nar/gkad411</a>

Result language

angličtina

Original language name

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

Original language description

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/.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Nucleic Acids Research

ISSN

0305-1048

e-ISSN

1362-4962

Volume of the periodical

51

Issue of the periodical within the volume

W1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

5

Pages from-to

„W326“-„W330“

UT code for WoS article

000989609300001

EID of the result in the Scopus database

2-s2.0-85163979078