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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

Loupe Browser stands out as a robust visualization tool, offering the user-friendly capabilities essential for delving into and interpreting 10x Genomics Chromium and Visium datasets. Additionally, the LoupeR package facilitates the transformation of Seurat objects into files compatible with Loupe Browser. The interactive features of the Loupe Browser interface are exemplified through its use of a lung squamous cell carcinoma dataset. Central to the user experience is the view panel, where individual points, each representing cell barcodes, are displayed across multiple projections. Each point typically corresponds to a single cell’s barcode, enabling focused analysis. The t-SNE plot generated by the cell ranger pipeline serves as the default projection, while alternative visualization options are also accessible. Users can effortlessly reposition the plot by dragging the mouse over the cells and can zoom in or out using the mouse wheel or trackpad. Moreover, as the mouse hovers over the plot, cluster labels become visible, which proves particularly beneficial when working with datasets that contain numerous precomputed clusters. This capability enhances the analytical experience, making it easier to identify and interpret complex data patterns.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Google Maps Yes 
JavaScript Yes 
Python Yes 

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 No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Bokeh

Website

bokeh.org

Vendor Details

Company Name

10x Genomics

Founded

2012

Country

United States

Website

www.10xgenomics.com/support/software/loupe-browser/latest

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