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Description

The Bioconductor initiative is dedicated to creating and distributing open-source software for the accurate and reproducible analysis of biological data. We promote a welcoming and cooperative environment for developers and data scientists alike. Our resources are designed to unlock the full potential of Bioconductor. From foundational tools to sophisticated functionalities, our extensive tutorials, guides, and documentation cater to all user needs. Utilizing the R programming language, Bioconductor embraces both open-source principles and collaborative development. It features biannual releases and boasts a vibrant user community. Additionally, Bioconductor offers Docker images for each release and facilitates its integration within AnVIL. Established in 2001, Bioconductor has become a prominent open-source project within the realms of bioinformatics and biomedical research. It encompasses over 2,000 R packages contributed by upwards of 1,000 developers and experiences more than 40 million annual downloads. Furthermore, Bioconductor has been referenced in over 60,000 scientific publications, underscoring its significant impact on the research community. The ongoing growth and evolution of Bioconductor continue to support advancements in biological data analysis.

Description

The Illumina DRAGEN Secondary Analysis system offers precise, thorough, and highly efficient processing of next-generation sequencing data. Utilizing a graph reference genome alongside machine learning techniques, it achieves remarkable accuracy. The workflow is exceptionally streamlined, capable of completely analyzing a 34x whole human genome in approximately 30 minutes when using the DRAGEN server v4. Additionally, it enhances this workflow by compressing FASTQ file sizes by up to five times. This system is adept at analyzing a variety of NGS data types, including whole genomes, exomes, methylomes, and transcriptomes. It is designed to be compatible with the user's preferred platform and is scalable to meet varying requirements. DRAGEN analysis consistently ranks as a leader in accuracy for both germline and somatic variant detection, as evidenced by its performance in industry competitions conducted by precisionFDA. This advanced analysis solution empowers laboratories of all sizes and specialties to maximize the potential of their genomic datasets. Moreover, the implementation of highly adaptable field-programmable gate array (FPGA) technology allows DRAGEN to deliver hardware-accelerated genomic analysis algorithms, further enhancing its performance. Such advancements position DRAGEN as a vital tool in the ever-evolving field of genomics.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
BaseSpace Sequence Hub No 
Correlation Engine No 
Docker Yes 
Emedgene No 
Illumina Connected Analytics No 
R Yes 

Integrations

Amazon Web Services (AWS) Yes 
BaseSpace Sequence Hub Yes 
Correlation Engine Yes 
Docker No 
Emedgene Yes 
Illumina Connected Analytics Yes 
R No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Bioconductor

Founded

2001

Country

United States

Website

www.bioconductor.org

Vendor Details

Company Name

Illumina

Country

United States

Website

www.illumina.com/products/by-type/informatics-products/dragen-secondary-analysis.html

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