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Description
Go REST is a versatile platform designed for testing and prototyping APIs that supports both GraphQL and RESTful formats, providing users with realistic fake data that mimics real responses, and is accessible around the clock through public endpoints for various entities such as users, posts, comments, and todos. This platform offers the flexibility of multiple API versions along with comprehensive search capabilities across all fields, pagination options (including page and per_page), and includes rate-limiting headers and response format negotiation to optimize performance. It adheres to standard HTTP methods, while any requests that modify data necessitate an access token, which can be provided via an HTTP Bearer token or as a query parameter. Additionally, nested resource capabilities allow for the retrieval of interconnected data, including user-specific posts, comments on posts, and todos created by users, ensuring that developers can easily access relevant information. The platform also features request and response logging, customizable rate limits, and daily data resets to maintain a pristine testing environment, facilitating a smooth development experience. Furthermore, users can take advantage of a dedicated GraphQL endpoint located at /public/v2/graphql, which enables schema-driven queries and mutations for enhanced data manipulation options.
Description
The foundational aspect of our immunotherapy approach lies in our comprehension of antigens and neoantigens, particularly in identifying which variations will be transcribed, translated, processed, and subsequently displayed on the surface of cells via Human leukocyte antigen (HLA) molecules, thus making them recognizable to T cells. We achieve this by employing Gritstone EDGETM, a unique platform powered by machine learning. Creating cancer immunotherapies that incorporate tumor-specific neoantigens proves challenging, mainly because tumors consist of numerous mutations, yet only a fraction of these lead to genuine tumor-specific neoantigens. To tackle this complexity, we have developed EDGE's cutting-edge integrated neural network model, trained with millions of data points gathered from a diverse range of tumor and normal tissue samples across various patient ancestries. This extensive training allows us to enhance the accuracy of neoantigen identification and improve the effectiveness of our immunotherapy strategies.
API Access
Has API
API Access
Has API
Integrations
DynamicPDF API
Frogcast
GraphQL
Implement AI
JSON
Nevatech Sentinet
OAuth
XML
Integrations
DynamicPDF API
Frogcast
GraphQL
Implement AI
JSON
Nevatech Sentinet
OAuth
XML
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Go REST
Country
United States
Website
gorest.co.in/
Vendor Details
Company Name
Gritstone bio
Founded
2015
Country
United States
Website
gritstonebio.com/scientific-platform/
Product Features
API Testing
Functional Testing
Fuzz Testing
Load Testing
Penetration Testing
Runtime and Error Detection
Security Testing
UI Testing
Validation Testing