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support 5 out of 5 stars

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What is Scilligence ELN?

Scilligence ELN serves as a comprehensive informatics solution that encompasses research and development across various scientific fields, including small molecules, mRNA, ADCs, DEL, and beyond. By employing cutting-edge HELM implementations, our ELN offers a sophisticated approach to handling macromolecule research. With its intentional design, the Scilligence ELN enhances collaborative efforts both within and outside of your laboratory, fostering stronger partnerships and increasing productivity. Advantages of this platform include the removal of data silos through secure data-sharing among teams or projects, allowing for real-time data capture and dissemination. It empowers users to make informed, data-driven decisions by utilizing a machine-readable knowledge database. Additionally, the platform enables the swift generation of reports for publications or patent applications, streamlining the documentation process. Furthermore, it offers rapid deployment options with no requirement for client installation, available via cloud or on-premises solutions, making it accessible and flexible for various laboratory environments. This adaptability ensures that your team can focus on innovation without the hurdles of technical limitations.

What is Illumina Connected Analytics?

Effectively manage, store, and collaborate on multi-omic datasets with ease. The Illumina Connected Analytics platform provides a secure environment for genomic data, enabling the operationalization of informatics and the extraction of valuable scientific insights. Users have the convenience of importing, creating, and modifying workflows using tools like CWL and Nextflow. The platform integrates DRAGEN bioinformatics pipelines, which enhance data processing capabilities. You can securely organize your data within a protected workspace that allows for global sharing while adhering to compliance standards. Retain your data on your own cloud infrastructure while taking advantage of our powerful platform. A versatile analysis environment, including JupyterLab Notebooks, is available for visualizing and interpreting your data effectively. With a scalable data warehouse, you can aggregate, query, and analyze both sample and population data, adapting to your growing needs. By constructing, validating, automating, and deploying informatics pipelines efficiently, you can significantly reduce the time required for genomic data analysis, which is crucial when rapid results are necessary. Additionally, the platform offers extensive profiling capabilities to discover novel drug targets and pinpoint biomarkers for drug response. Lastly, you can seamlessly integrate data from Illumina sequencing systems, ensuring a smooth and efficient workflow experience while optimizing your research outcomes. This comprehensive approach not only enhances productivity but also fosters collaboration among researchers.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Elsevier Performance Manager
Microsoft 365

Integrations Supported

Amazon S3
Docker
Illumina DRAGEN Secondary Analysis
JupyterLab
Nextflow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard 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

Scilligence

Date Founded

2010

Company Location

United States

Company Website

www.scilligence.com/web/scilligence-eln/

Company Facts

Organization Name

Illumina

Company Location

United States

Company Website

www.illumina.com/products/by-type/informatics-products/connected-analytics.html

Categories and Features

ELN

Not specified

Categories and Features

Bioinformatics

Not specified

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