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What is Emedgene?

Emedgene enhances the processes associated with tertiary analysis in the fields of rare disease genomics and various germline research projects. The platform is designed to improve the speed and consistency of interpreting, prioritizing, curating, and producing research reports on user-defined variants. By utilizing explainable AI (XAI) and automation, Emedgene significantly increases efficiency across a range of analysis workflows, including genomes, exomes, virtual panels, and targeted panels. It also aids in merging laboratory operations and next-generation sequencing (NGS) instruments with IT systems, thereby optimizing and securing the entire workflow. As science and technology continue to evolve alongside growing demands, Emedgene provides users with the latest advancements through innovative knowledge graph features, curation tools, and expert assistance throughout their research endeavors. Additionally, laboratories can enhance their throughput without needing to hire extra personnel, thanks to the capabilities of XAI and automated systems. Ultimately, Emedgene supports the implementation of high-throughput workflows for whole genome sequencing (WGS), whole exome sequencing (WES), virtual panels, or targeted panels, all of which seamlessly integrate into the digital infrastructure of any laboratory. This holistic approach ensures that researchers can dedicate their efforts to uncovering new insights while benefiting from reliable technological support that evolves with their needs. By streamlining these complex processes, Emedgene empowers researchers to maximize their potential and drive impactful discoveries in genomics.

What is Cufflinks?

Cufflinks is a software solution designed to compile transcript data, estimate their relative abundance, and analyze differential expression and regulation within RNA-Seq datasets. By processing aligned RNA-Seq reads, it organizes these into a coherent representation of transcripts. The software evaluates the relative levels of these transcripts using the number of supporting reads while considering biases introduced during library preparation. Originally developed in partnership with the Laboratory for Mathematical and Computational Biology, Cufflinks seeks to streamline the installation process by providing various binary packages that mitigate the often challenging task of building the software from its source code, which typically requires the installation of multiple libraries. This toolset includes several utilities aimed at RNA-Seq experiment analysis, with some features available for standalone use and others designed to integrate into a broader analytical workflow. Furthermore, Cufflinks is essential for genomics researchers, as it significantly enhances their capacity to interpret RNA-Seq data and derive meaningful insights from their experiments. With its user-friendly approach, Cufflinks continues to support advancements in genomic research methodologies.

Media

Media

Integrations Supported

Illumina DRAGEN Secondary Analysis

Integrations Supported

Illumina DRAGEN Secondary Analysis

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
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

Illumina

Company Location

United States

Company Website

www.illumina.com/products/by-type/informatics-products/emedgene.html

Company Facts

Organization Name

Cole Trapnell

Date Founded

2017

Company Location

United States

Company Website

cole-trapnell-lab.github.io/cufflinks/

Categories and Features

Categories and Features

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