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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.

What is Logilab SDMS?

Logilab SDMS stands out as a trusted and established Scientific Data Management System capable of capturing data from any analytical instrument, regardless of type, make, or manufacturer, thus proving to be an adaptable asset for scientific research and experimentation. This robust system facilitates the secure capture and archiving of both instrument data and metadata on a dedicated server, creating a centralized repository that serves as the definitive source for all scientific data. Specifically designed for the efficient capture, cataloging, and archiving of raw instrument data and files along with their metadata, Logilab SDMS employs a tagging system that allows for systematic indexing into catalogs, promoting long-term preservation and ensuring scientific data is accessible whenever required. Moreover, laboratories utilizing Logilab SDMS can approach audits with confidence, knowing that their scientific data is not only organized and archived but also readily available for thorough examination. By streamlining data management processes, Logilab SDMS ultimately enhances the overall efficiency and reliability of scientific research efforts.

Media

Media

Integrations Supported

Logilab ELN
Qualis LIMS
Signals Inventa
Signals Notebook
Signals Translational
Signals VitroVivo

Integrations Supported

Logilab ELN
Qualis LIMS
Signals Inventa
Signals Notebook
Signals Translational
Signals VitroVivo

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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-research-suite/

Company Facts

Organization Name

Agaram Technologies

Date Founded

1998

Company Location

Chennai, India

Company Website

www.agaramtech.com

Categories and Features

Scientific Data Management System (SDMS)

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

Categories and Features

Scientific Data Management System (SDMS)

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

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