Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Bokeh simplifies the creation of standard visualizations while also accommodating unique or specialized scenarios. It allows users to publish plots, dashboards, and applications seamlessly on web pages or within Jupyter notebooks. The Python ecosystem boasts a remarkable collection of robust analytical libraries such as NumPy, Scipy, Pandas, Dask, Scikit-Learn, and OpenCV. With its extensive selection of widgets, plotting tools, and user interface events that can initiate genuine Python callbacks, the Bokeh server serves as a vital link, enabling the integration of these libraries into dynamic, interactive visualizations accessible via the browser. Additionally, Microscopium, a project supported by researchers at Monash University, empowers scientists to uncover new functions of genes or drugs through the exploration of extensive image datasets facilitated by Bokeh’s interactive capabilities. Another useful tool, Panel, which is developed by Anaconda, enhances data presentation by leveraging the Bokeh server. It streamlines the creation of custom interactive web applications and dashboards by linking user-defined widgets to a variety of elements, including plots, images, tables, and textual information, thus broadening the scope of data interaction possibilities. This combination of tools fosters a rich environment for data analysis and visualization, making it easier for researchers and developers to share their insights.
Description
LigPlot+ serves as the advanced iteration of the original LIGPLOT software, designed for the automatic creation of 2D diagrams depicting ligand-protein interactions. This tool features a user-friendly Java interface that enables users to edit plots effortlessly through simple mouse click-and-drag actions. Besides the improved interface, LigPlot+ introduces several significant upgrades compared to its predecessor. When analyzing two or more ligand-protein complexes that share notable similarities, the software can automatically present their interaction diagrams either overlayed or side by side, with conserved interactions prominently highlighted for easy identification. Additionally, the LigPlot+ suite integrates an enhanced version of the original DIMPLOT program, which is focused on visualizing protein-protein or domain-domain interactions. Users have the flexibility to choose the specific interface they are interested in, allowing DIMPLOT to produce a detailed diagram that illustrates the residue-residue interactions within that interface. For further clarity in interpretation, the residues from one interface can also be displayed in their sequential order, enhancing the overall usability and functionality of the program. This comprehensive approach makes LigPlot+ a valuable tool for researchers seeking to understand complex molecular interactions more intuitively.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Google Maps
No
JavaScript
No
Python
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Bokeh
Website
bokeh.org
Vendor Details
Company Name
EMBL-EBI
Country
United Kingdom
Website
www.ebi.ac.uk/thornton-srv/software/LigPlus/