Visualizing Volumetric and Segmentation Data using Mol* Volumes & Segmentations 2.0
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F24%3A00138951" target="_blank" >RIV/00216224:14310/24:00138951 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1002/cpz1.70070" target="_blank" >https://doi.org/10.1002/cpz1.70070</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/cpz1.70070" target="_blank" >10.1002/cpz1.70070</a>
Alternative languages
Result language
angličtina
Original language name
Visualizing Volumetric and Segmentation Data using Mol* Volumes & Segmentations 2.0
Original language description
Ever-increasing availability of experimental volumetric data (e.g., in .ccp4, .mrc, .map, .rec, .zarr, .ome.tif formats) and advances in segmentation software (e.g., Amira, Segger, IMOD) and formats (e.g., .am, .seg, .mod, etc.) have led to a demand for efficient web-based visualization tools. Despite this, current solutions remain scarce, hindering data interpretation and dissemination. Previously, we introduced Mol* Volumes & Segmentations (Mol* VS), a web application for the visualization of volumetric, segmentation, and annotation data (e.g., semantically relevant information on biological entities corresponding to individual segmentations such as Gene Ontology terms or PDB IDs). However, this lacked important features such as the ability to edit annotations (e.g., assigning user-defined descriptions of a segment) and seamlessly share visualizations. Additionally, setting up Mol* VS required a substantial programming background. This article presents an updated version, Mol* VS 2.0, that addresses these limitations. As part of Mol* VS 2.0, we introduce the Annotation Editor, a user-friendly graphical interface for editing annotations, and the Volumes & Segmentations Toolkit (VSToolkit) for generating shareable files with visualization data. The outlined protocols illustrate the utilization of Mol* VS 2.0 for visualization of volumetric and segmentation data across various scales, showcasing the progress in the field of molecular complex visualization.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - 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)
Result continuities
Project
<a href="/en/project/GM22-30571M" target="_blank" >GM22-30571M: Cell*: a web platform for visualization, modelling and dynamics of organnel- and cell-sized structures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Current Protocols
ISSN
2691-1299
e-ISSN
2691-1299
Volume of the periodical
4
Issue of the periodical within the volume
12
Country of publishing house
US - UNITED STATES
Number of pages
34
Pages from-to
1-34
UT code for WoS article
001372400500001
EID of the result in the Scopus database
2-s2.0-85211947696