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What is Signals Inventa?

Signals Inventa, formerly known as Signals Lead Discovery, is an innovative data management system that facilitates the assessment of scientific research results. It leverages the state-of-the-art Signals Data Factory technology from PerkinElmer, enabling users to effortlessly access and scrutinize all scientific data collected during the research and development phases. No matter the nature of your project, Signals Inventa supports the identification of tests that produce the most encouraging results, informs strategies for subsequent developments, and pinpoints opportunities for additional testing, among various other functions. The platform guarantees that data is uniform, systematically arranged, and ready for in-depth exploration. Furthermore, Signals Inventa amplifies scientific insights through a range of analytical methods, including R-group decomposition, chemical clustering, matched molecular pair analysis, the discovery of maximum chemical substructures, as well as conducting blast searches across both internal and external databases, alongside sequence alignment techniques. This holistic methodology not only simplifies data analysis but also encourages groundbreaking discoveries in the scientific domain, ultimately enhancing the research process and outcomes.

What is Edison Analysis?

Edison Analysis is a sophisticated tool for data examination developed by Edison Scientific, serving as the main analytical engine behind their AI Scientist platform named Kosmos. It can be accessed through both the Edison platform and an API, enabling complex scientific data evaluations. This tool works by iteratively creating and refining Jupyter notebooks in a dedicated environment, where it takes a dataset and a prompt to deeply investigate, analyze, and elucidate the data, ultimately producing insightful findings, detailed reports, and visual representations that mirror a human scientist's efforts. It has the capability to run code in languages such as Python, R, and Bash, and integrates a variety of widely-used scientific analysis libraries within a Docker setup. Because all tasks are conducted within a notebook, the rationale behind the analysis is entirely clear and accountable, allowing users to scrutinize the data processing methods, chosen parameters, and the logic that led to the final insights. Users can also download the notebook and associated materials at any time, further enhancing the transparency of the analytical process. This groundbreaking methodology not only improves comprehension of scientific data but also encourages enhanced collaboration among researchers, as it provides a thorough record of the entire analytical journey. Overall, Edison Analysis stands out as a pivotal resource in modern scientific research, bridging the gap between complex data and actionable insights.

Media

Media

Integrations Supported

Bash
Docker
Jupyter Notebook
Kosmos
Python
R
Signals Research Suite

Integrations Supported

Bash
Docker
Jupyter Notebook
Kosmos
Python
R
Signals Research Suite

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$50 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PerkinElmer Informatics

Date Founded

1937

Company Location

United States

Company Website

perkinelmerinformatics.com/products/research/signals-inventa/

Company Facts

Organization Name

Edison Scientific

Company Location

United States

Company Website

edisonscientific.com/articles/introducing-edison-analysis

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