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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

The Code Ocean Computational Workbench enhances usability, coding, data tool integration, and DevOps lifecycle processes by bridging technology gaps with a user-friendly, ready-to-use interface. It provides readily accessible tools like RStudio, Jupyter, Shiny, Terminal, and Git, while allowing users to select from a variety of popular programming languages. Users can access diverse data sizes and storage types, configure, and generate Docker environments with ease. Furthermore, it offers one-click access to AWS compute resources, streamlining workflows significantly. Through the app panel of the Code Ocean Computational Workbench, researchers can effortlessly share findings by creating and publishing user-friendly web analysis applications for teams of scientists, all without needing IT support, coding skills, or command-line proficiency. This platform allows for the creation and deployment of interactive analyses that operate seamlessly in standard web browsers. Collaboration and sharing of results are simplified, and resources can be reused and managed with minimal effort. By providing a straightforward application and repository, researchers can efficiently organize, publish, and safeguard project-based Compute Capsules, data assets, and their research outcomes, ultimately promoting a more collaborative and productive research environment. The versatility and ease of use of this workbench make it an invaluable tool for scientists looking to enhance their research capabilities.

Description

Enhance research outcomes while boosting team efficiency by utilizing interactive data visualization to extend both private and public datasets among various teams. Rosalind stands out as the sole multi-tenant SaaS platform tailored for scientists, enabling the analysis, interpretation, sharing, planning, validation, and generation of new hypotheses with ease. It offers code-free visualization and employs AI for interpretation, fostering top-tier collaboration among users. Regardless of their expertise, scientists can leverage ROSALIND effectively, as it requires no programming or bioinformatics knowledge. The platform serves as a robust discovery tool and data hub, seamlessly integrating experiment design, quality control, and pathway analysis. ROSALIND's advanced infrastructure automatically orchestrates tens of thousands of compute cores and manages petabytes of storage, scaling resources dynamically for each experiment to ensure timely results. Furthermore, scientists can effortlessly share their findings with peers worldwide, complete with audit tracking to prioritize interpretation over data processing, thereby fostering a more collaborative research environment. This unique combination of features empowers researchers to focus on innovation and scientific discovery.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon EC2
Amazon S3
Amazon Web Services (AWS)
Docker
Git
GitHub
Jupyter Notebook
Terminal

Integrations

Amazon EC2
Amazon S3
Amazon Web Services (AWS)
Docker
Git
GitHub
Jupyter Notebook
Terminal

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$3,250 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Code Ocean

Country

United States

Website

codeocean.com/product/

Vendor Details

Company Name

ROSALIND

Founded

2013

Country

United States

Website

www.rosalind.bio/

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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