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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 Scilligence SDMS?
Scilligence's Scientific Data Management System (SDMS) provides a cohesive platform for data storage that connects seamlessly with a variety of instruments and devices, allowing researchers to swiftly and securely gather vital information. The system's automation capabilities streamline the process of data collection from scientific tools, facilitating the extraction of metadata into a relational database, which significantly boosts data management efficiency and reduces costs. Our platform is designed to maintain strict version control, comprehensive audit trails, and a thorough history of document alterations, ensuring compliance with current regulatory requirements. Moreover, SDMS integrates smoothly not only with Scilligence applications but also with laboratory instruments for automated data handling. It also accommodates various database systems and storage solutions, enhancing its versatility. To protect your intellectual property effectively, we implement robust access management at multiple levels including site, account, and project, ensuring that confidential information is secured while promoting collaborative research. This thorough approach to data management ultimately allows scientists to dedicate more time to their research endeavors, relying on a dependable and effective data infrastructure. Additionally, the platform's user-friendly interface further simplifies the data management process, making it accessible to users with varying levels of technical expertise.
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
Scilligence
Date Founded
2010
Company Location
United States
Company Website
scilligence.com/scilligence-sdms/
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