scholarly journals Visualization for genomics: the Microbial Genome Viewer

2004 ◽  
Vol 20 (11) ◽  
pp. 1812-1814 ◽  
Author(s):  
R. Kerkhoven ◽  
F. H. J. van Enckevort ◽  
J. Boekhorst ◽  
D. Molenaar ◽  
R. J. Siezen
2007 ◽  
Vol 2 (4) ◽  
pp. 169-170
Author(s):  
Jeffrey L. Fox
Keyword(s):  

2014 ◽  
Vol 169 ◽  
pp. 443-453 ◽  
Author(s):  
Jeremiah J. Shepherd ◽  
Lingxi Zhou ◽  
William Arndt ◽  
Yan Zhang ◽  
W. Jim Zheng ◽  
...  

More and more evidence indicates that the 3D conformation of eukaryotic genomes is a critical part of genome function. However, due to the lack of accurate and reliable 3D genome structural data, this information is largely ignored and most of these studies have to use information systems that view the DNA in a linear structure. Visualizing genomes in real time 3D can give researchers more insight, but this is fraught with hardware limitations since each element contains vast amounts of information that cannot be processed on the fly. Using a game engine and sophisticated video game visualization techniques enables us to construct a multi-platform real-time 3D genome viewer. The game engine-based viewer achieves much better rendering speed and can handle much larger amounts of data compared to our previous implementation using OpenGL. Combining this viewer with 3D genome models from experimental data could provide unprecedented opportunities to gain insight into the conformation–function relationships of a genome.


2007 ◽  
Vol 46 (3) ◽  
pp. 169 ◽  
Author(s):  
Katsuya Ozaki ◽  
Katsutoshi Ara ◽  
Kouji Nakamura ◽  
Kunio Yamane ◽  
Junichi Sekiguchi ◽  
...  

2008 ◽  
Vol 42 (22) ◽  
pp. 8614-8614
Author(s):  
Ho-Won Chang ◽  
Youboong Sung ◽  
Kyoung-Ho Kim ◽  
Young-Do Nam ◽  
Seong Woon Roh ◽  
...  

2015 ◽  
Vol 10 (1) ◽  
Author(s):  
Marcel Huntemann ◽  
Natalia N. Ivanova ◽  
Konstantinos Mavromatis ◽  
H. James Tripp ◽  
David Paez-Espino ◽  
...  

Author(s):  
Eric D. Brenner ◽  
Paul E. Scheid ◽  
Justin DeGrazia ◽  
Alexa R. Geltzeiler ◽  
Manpreet S. Katari
Keyword(s):  

2018 ◽  
Vol 35 (13) ◽  
pp. 2332-2334 ◽  
Author(s):  
Federico Baldini ◽  
Almut Heinken ◽  
Laurent Heirendt ◽  
Stefania Magnusdottir ◽  
Ronan M T Fleming ◽  
...  

Abstract Motivation The application of constraint-based modeling to functionally analyze metagenomic data has been limited so far, partially due to the absence of suitable toolboxes. Results To address this gap, we created a comprehensive toolbox to model (i) microbe–microbe and host–microbe metabolic interactions, and (ii) microbial communities using microbial genome-scale metabolic reconstructions and metagenomic data. The Microbiome Modeling Toolbox extends the functionality of the constraint-based reconstruction and analysis toolbox. Availability and implementation The Microbiome Modeling Toolbox and the tutorials at https://git.io/microbiomeModelingToolbox.


2021 ◽  
Vol 60 ◽  
pp. 47-54
Author(s):  
Emma Kenshole ◽  
Marion Herisse ◽  
Michael Michael ◽  
Sacha J. Pidot

2009 ◽  
Vol 25 (17) ◽  
pp. 2271-2278 ◽  
Author(s):  
Victor M. Markowitz ◽  
Konstantinos Mavromatis ◽  
Natalia N. Ivanova ◽  
I-Min A. Chen ◽  
Ken Chu ◽  
...  

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