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What is Partek Flow?

Partek bioinformatics software provides a comprehensive suite of statistical and visualization tools via an intuitive interface designed for researchers with varying levels of expertise. This innovative platform enables users to explore genomic data with remarkable speed and simplicity, effectively reflecting our slogan, "We turn data into discovery®." Featuring pre-configured workflows and pipelines in an easy-to-use point-and-click format, even intricate analyses of next-generation sequencing (NGS) and array data are made accessible to all researchers. Our unique blend of customized and publicly available statistical algorithms works seamlessly to convert NGS data into meaningful biological insights. The software’s engaging visual elements, such as genome browsers, Venn diagrams, and heat maps, reveal the complexities of next-generation sequencing and array data in striking detail. Furthermore, our dedicated team of Ph.D. scientists is always on hand to assist with any NGS analysis questions that may arise. Designed to accommodate the extensive computational demands of next-generation sequencing, the software also provides adaptable options for installation and user management, ensuring a well-rounded solution for diverse research objectives. Consequently, users can devote more of their time to advancing their research rather than grappling with technical obstacles, thereby enhancing productivity and discovery in their scientific endeavors.

What is Code Ocean?

The Code Ocean Computational Workbench significantly improves usability, coding, data tool integration, and DevOps lifecycle processes by effectively closing technology gaps with an intuitive, ready-to-use interface. Users have immediate access to essential tools such as RStudio, Jupyter, Shiny, Terminal, and Git, while also having the flexibility to choose from a range of widely-used programming languages. This platform accommodates various data sizes and storage types, allowing users to configure and easily generate Docker environments. Additionally, it facilitates one-click access to AWS compute resources, greatly enhancing workflow efficiency. Through the app panel, researchers can seamlessly share their findings by creating and publishing user-friendly web analysis applications for collaborative teams of scientists, all without requiring IT support, programming skills, or command-line expertise. The platform enables the development and deployment of interactive analyses that run effortlessly in standard web browsers. Collaboration is streamlined, and the management of resources is simplified, allowing for easy reuse. By offering an organized application and repository, researchers can efficiently manage, publish, and protect project-based Compute Capsules, data assets, and their findings, fostering a more collaborative and productive research environment. The Code Ocean Computational Workbench’s adaptability and user-friendly nature make it an essential resource for scientists aiming to expand their research capabilities, ultimately paving the way for innovative discoveries. With its powerful features and ease of use, this tool not only enhances research productivity but also encourages interdisciplinary collaboration among researchers.

Media

Media

Integrations Supported

Integrations Supported

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

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Partek

Date Founded

2011

Company Location

United States

Company Website

www.partek.com

Company Facts

Organization Name

Code Ocean

Company Location

United States

Company Website

codeocean.com/product/

Categories and Features

Bioinformatics

Not specified

Life Sciences

Not specified

Categories and Features

Data Analysis

Not specified

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