-
Something wrong with this record ?
Mol* Volumes and Segmentations: visualization and interpretation of cell imaging data alongside macromolecular structure data and biological annotations
A. Chareshneu, A. Midlik, CM. Ionescu, A. Rose, V. Horský, A. Cantara, R. Svobodová, K. Berka, D. Sehnal
Language English Country England, Great Britain
Document type Journal Article, Research Support, Non-U.S. Gov't
NLK
Directory of Open Access Journals
from 2005
Free Medical Journals
from 1996
PubMed Central
from 1974
Europe PubMed Central
from 1974
Open Access Digital Library
from 1996-01-01 to 2030-12-31
Open Access Digital Library
from 1974-01-01
Open Access Digital Library
from 1996-01-01
Open Access Digital Library
from 1996-01-01
Medline Complete (EBSCOhost)
from 1996-01-01
Oxford Journals Open Access Collection
from 1996-01-01
ROAD: Directory of Open Access Scholarly Resources
from 1974
PubMed
37194693
DOI
10.1093/nar/gkad411
Knihovny.cz E-resources
- MeSH
- Internet MeSH
- Macromolecular Substances MeSH
- Microscopy * MeSH
- Image Processing, Computer-Assisted * MeSH
- Software * MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
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/.
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc23016922
- 003
- CZ-PrNML
- 005
- 20231026105450.0
- 007
- ta
- 008
- 231013s2023 enk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1093/nar/gkad411 $2 doi
- 035 __
- $a (PubMed)37194693
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a enk
- 100 1_
- $a Chareshneu, Aliaksei $u National Centre for Biomolecular Research, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic
- 245 10
- $a Mol* Volumes and Segmentations: visualization and interpretation of cell imaging data alongside macromolecular structure data and biological annotations / $c A. Chareshneu, A. Midlik, CM. Ionescu, A. Rose, V. Horský, A. Cantara, R. Svobodová, K. Berka, D. Sehnal
- 520 9_
- $a 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/.
- 650 _2
- $a makromolekulární látky $7 D046911
- 650 12
- $a mikroskopie $7 D008853
- 650 12
- $a počítačové zpracování obrazu $7 D007091
- 650 _2
- $a internet $7 D020407
- 650 12
- $a software $7 D012984
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Midlik, Adam $u National Centre for Biomolecular Research, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic $u Biological Data Management and Analysis Core Facility, Centre for Structural Biology, CEITEC - Central European Institute of Technology, Masaryk University, 625 00 Brno, Czech Republic
- 700 1_
- $a Ionescu, Crina-Maria $u National Centre for Biomolecular Research, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic
- 700 1_
- $a Rose, Alexander $u Mol* Consortium, San Diego, CA 92109, USA
- 700 1_
- $a Horský, Vladimír $u National Centre for Biomolecular Research, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic $u Biological Data Management and Analysis Core Facility, Centre for Structural Biology, CEITEC - Central European Institute of Technology, Masaryk University, 625 00 Brno, Czech Republic $1 https://orcid.org/0000000292525386
- 700 1_
- $a Cantara, Alessio $u National Centre for Biomolecular Research, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic $u Biological Data Management and Analysis Core Facility, Centre for Structural Biology, CEITEC - Central European Institute of Technology, Masaryk University, 625 00 Brno, Czech Republic
- 700 1_
- $a Svobodová, Radka $u National Centre for Biomolecular Research, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic $u Biological Data Management and Analysis Core Facility, Centre for Structural Biology, CEITEC - Central European Institute of Technology, Masaryk University, 625 00 Brno, Czech Republic $1 https://orcid.org/0000000238408760 $7 mub2010609307
- 700 1_
- $a Berka, Karel $u Department of Physical Chemistry, Faculty of Science, Palacký University Olomouc, 779 00 Olomouc, Czech Republic $1 https://orcid.org/0000000194722589 $7 ola2015878473
- 700 1_
- $a Sehnal, David $u National Centre for Biomolecular Research, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic $u Biological Data Management and Analysis Core Facility, Centre for Structural Biology, CEITEC - Central European Institute of Technology, Masaryk University, 625 00 Brno, Czech Republic
- 773 0_
- $w MED00003554 $t Nucleic acids research $x 1362-4962 $g Roč. 51, č. W1 (2023), s. W326-W330
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/37194693 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y - $z 0
- 990 __
- $a 20231013 $b ABA008
- 991 __
- $a 20231026105444 $b ABA008
- 999 __
- $a ok $b bmc $g 2000445 $s 1203284
- BAS __
- $a 3
- BAS __
- $a PreBMC-MEDLINE
- BMC __
- $a 2023 $b 51 $c W1 $d W326-W330 $e 2023Jul05 $i 1362-4962 $m Nucleic acids research $n Nucleic Acids Res $x MED00003554
- LZP __
- $a Pubmed-20231013
