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What is StrandOmics?

To efficiently produce reports for clinical tests based on NGS, it is essential to utilize a sophisticated platform that can automatically assess variants, interpret clinical findings, and generate thorough reports. Strand Omics is a rapid, HIPAA-compliant cloud solution that bolsters our diagnostic capabilities, having evolved over four years from the examination of over 10,000 clinical reports and a variety of peer-reviewed studies. This platform combines cutting-edge bioinformatics algorithms with well-curated databases, user-friendly visualization tools, and strong reporting functionalities. It is crafted with specialized workflows tailored to address both rare inherited disorders and assays for somatic tumor profiling. Moreover, the system features a collection of more than 10,000 somatic variants curated for their oncogenic relevance, in addition to 100 genes chosen for their druggability across different cancer types, along with 500 drugs validated for their effectiveness against various cancers. This extensive resource not only empowers healthcare professionals with vital data but also enhances their ability to make well-informed decisions regarding patient treatment. The overall infrastructure of Strand Omics promotes a seamless integration of data and clinical insights, ultimately improving outcomes in patient care.

What is Signals Translational?

Utilizing visual analytics offered by TIBCO Spotfire®, PerkinElmer Signals Translational provides a robust array of tools aimed at streamlining the harmonization, management, searching, aggregation, and analysis of large datasets for translational research, all while maintaining scalability. This platform, powered by TIBCO Spotfire®, plays a vital role in advancing precision medicine initiatives by delivering an exceptional solution for discovering biomarkers and stratifying patients effectively. Within Signals Translational, the Linear Mixed Effect App (LME) equips researchers with the capability to assess the impact of various factors on specific phenotypes, facilitating adjustments associated with random variables during their analyses. Additionally, it aids in pinpointing genes that significantly influence the progression of cancer stages, regardless of the patients' backgrounds. Importantly, the LME models are particularly adept at handling challenges like missing values and outliers, positioning them as a reliable option for uncovering potential biomarkers. As a result, the incorporation of these sophisticated analytics tools significantly boosts the effectiveness of translational research, paving the way for the identification of critical biomarkers that can enhance personalized treatment strategies. This innovative approach not only streamlines research processes but also fosters collaboration among researchers aiming to improve patient outcomes through more tailored therapeutic interventions.

Media

Media

Integrations Supported

Signals Research Suite

Integrations Supported

Signals Research Suite

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

Strand Life Sciences

Date Founded

2000

Company Location

India

Company Website

strandls.com/bioinformatics/

Company Facts

Organization Name

PerkinElmer

Date Founded

1937

Company Location

United States

Company Website

perkinelmerinformatics.com/products/clinical-translational/signals-translational/

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

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