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What is Seqera?

Seqera represents a cutting-edge bioinformatics solution developed by the creators of Nextflow, focused on streamlining and refining the management of scientific data analysis workflows. It offers a comprehensive suite of tools, including the Seqera Platform for scalable data pipeline management, Seqera Pipelines that provide curated access to select open-source workflows, Seqera Containers for efficient container administration, and Seqera Studios which foster interactive data analysis environments. Designed to work harmoniously with various cloud and on-premises platforms, the system enhances reproducibility and compliance in scientific inquiries. Users have the option to integrate Seqera into their current infrastructure without the necessity for extensive migrations, supporting major cloud providers such as AWS, GCP, and Azure. This adaptability ensures complete control over data residency, facilitating global scalability while maintaining stringent security and performance standards. Additionally, Seqera equips researchers with the tools needed to elevate their analytical processes, all while ensuring a fluid operational experience within their existing frameworks. Ultimately, this platform not only enhances research efficiency but also encourages collaboration among scientists by providing a shared environment for data exploration.

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

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure

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

Seqera

Date Founded

2018

Company Location

Spain

Company Website

seqera.io

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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