What is Signals Research Suite?

The Suite has been crafted to ensure both security and scalability, boasting a modern, intuitive interface that empowers researchers to fully customize their workflows across a range of techniques, modalities, and data types. The newest version, Signals VitroVivo 3.0, which was previously known as Signal’s Screening, adeptly transforms raw data into actionable insights, while Signals Inventa 3.0, once called Signals Lead Discovery, functions as a sophisticated analytics platform, enabling scientists to publish their findings with ease from various data sources. Moreover, it captures experimental data, manages materials efficiently, and simplifies collaborative workflows through a user-friendly cloud-based electronic notebook. With its flexible visualizations and capacity for automating instrument data processing, the Suite significantly improves data quality and guarantees reproducibility in scientific research. It also offers a comprehensive data management solution for scientific results, featuring engaging and interactive analytics. Additionally, its ability to easily integrate with internal systems and partner workflows enhances its utility, positioning it as an essential resource for advancing scientific exploration and innovation. The continuous evolution of the Suite reflects a commitment to supporting the dynamic needs of the scientific community.

Screenshots and Video

Company Facts

Company Name:
PerkinElmer Informatics
Date Founded:
1937
Company Location:
United States
Company Website:
perkinelmerinformatics.com/products/research/signals-research-suite/

Product Details

Deployment
Windows
Training Options
Documentation Hub
Online Training
Webinars
Video Library
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Signals Research Suite Categories and Features

Scientific Data Management System (SDMS) Software

Analytics
Artificial Intelligence (AI)
Audit
Centralized Data Repository
Collaboration
Compliance
Data Security
ELN Integration
LIMS Integration
Workflows