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What is NuGenesis SDMS?

NuGenesis SDMS functions as an automated data repository that underpins the NuGenesis laboratory management system. This innovative platform effectively integrates various data types generated by instruments, research personnel, and external sources into a singular repository. As a result, scientists and their collaborators can smoothly initiate research projects, share results, and exchange information. The system guarantees the secure collection, indexing, and retention of laboratory-generated data in accordance with regulatory requirements, executing these processes promptly following any creation or modification of data. Furthermore, it streamlines the handling of printed data, including outputs produced by instruments. The system is designed to work with multiple operating systems, such as Microsoft Windows and UNIX, and it transforms data into commonly used non-proprietary interchange formats like IUPAC JCAMP-DX. NuGenesis SDMS excels at detecting new content across servers, projects, and data types, efficiently extracting pertinent metadata to maintain organization. This capability not only boosts productivity but also ensures that critical research data is easily accessible and securely stored, allowing for a more effective collaborative environment. Overall, the platform plays a vital role in enhancing the research process within the laboratory setting.

What is ACD/Labs Percepta Platform?

Percepta provides a comprehensive platform for calculating a range of physicochemical properties, as well as ADME characteristics and toxicity endpoints. Users can seamlessly analyze outcomes from its various calculators, with each module offering targeted information, features like structure highlighting, and specific calculation methods. Additionally, the platform includes robust filtering, sorting, and graphing functionalities, which facilitate the examination of predicted outcomes. To gauge the reliability of these predictions and their applicability to your current endeavors, you can utilize metrics such as reliability index, probability assessments, and comparisons with similar structures from established training sets. The data on calculated molecular properties can also be leveraged for studying structural modifications and optimizing leads to align with the desired product profile concerning absorption, distribution, metabolism, and excretion. Furthermore, incorporating experimental data can enhance your comprehension of the unique chemical landscape while simultaneously boosting the accuracy of predictions through integrated machine learning features. This multifaceted approach not only streamlines research but also fosters innovation in chemical property analysis.

Media

Media

Integrations Supported

IDBS E-WorkBook
Microsoft Excel

Integrations Supported

IDBS E-WorkBook
Microsoft Excel

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

Waters

Company Location

France

Company Website

www.waters.com/waters/fr_FR/Automated-Data-Repository/nav.htm

Company Facts

Organization Name

Advanced Chemistry Development

Date Founded

1994

Company Location

Canada

Company Website

www.acdlabs.com/products/percepta/

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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