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support

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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

VSClinical facilitates the clinical analysis of genetic variants in accordance with ACMG and AMP guidelines. Its structured workflow supports adherence to the American College of Medical Genetics (ACMG) standards, which are essential for identifying and categorizing pathogenic variants related to inherited disease risk, cancer susceptibility, and rare disease diagnosis. The combined ACMG/AMP guidelines for variant interpretation establish a framework for scoring variants and categorizing them into one of five classification levels. Implementing these guidelines necessitates a thorough examination of annotations, genomic contexts, and pre-existing clinical insights for each variant. VSClinical streamlines this process by offering a customized workflow that evaluates each relevant criterion and supplies comprehensive bioinformatics, literature references, and clinical knowledgebase evidence to aid in the scoring and interpretation of variants. This innovative approach is designed to enhance the efficiency of variant scientists as they navigate the complexities of variant processing and analysis. Overall, VSClinical stands out as a vital tool for accelerating the understanding and classification of genetic variants in clinical settings.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Docker Yes 
GenomeBrowse No 
R Yes 
VarSeq No 

Integrations

Docker No 
GenomeBrowse Yes 
R No 
VarSeq Yes 

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 No 
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

Golden Helix

Founded

1998

Country

United States

Website

www.goldenhelix.com/products/VarSeq/vsclinical.html

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