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Visualizing Genetic Variants, Short Targets, and Point Mutations in the Morphological Tissue Context with an RNA In Situ Hybridization Assay
Published on: August 14, 2018
ShAn: An easy-to-use tool for interactive and integrated variant annotation.
Venkat Subramaniam Rathinakannan1, Hannu-Pekka Schukov1, Samuel Heron1
1Institute of Biomedicine, University of Turku, Turku, Finland.
This study introduces a user-friendly application for variant annotation of sequencing data. It simplifies the complex process of analyzing genetic variants using the ANNOVAR tool with a graphical interface.
Area of Science:
- Bioinformatics
- Genomics
- Computational Biology
Background:
- Analyzing large sequencing datasets requires specialized tools.
- Current variant annotation software, such as ANNOVAR, often relies on command-line interfaces, demanding programming expertise.
- There is a need for accessible, graphical tools for variant annotation.
Purpose of the Study:
- To develop an interactive, user-friendly application for variant annotation of sequencing data.
- To combine the analytical power of ANNOVAR with the intuitive interface of R Shiny.
- To provide comprehensive annotations for variant data in an accessible format.
Main Methods:
- Development of an interactive application using R Shiny.
- Integration of ANNOVAR's annotation capabilities within the R Shiny framework.
- Processing of user-supplied VCF files for variant annotation.
Main Results:
- A new interactive application for variant annotation has been successfully developed.
- The application provides comprehensive variant annotations from multiple databases.
- Annotation results are displayed within a graphical interface and are downloadable as text files.
Conclusions:
- The developed application simplifies variant annotation for sequencing data.
- It addresses the under-representation of user-friendly, GUI-based annotation tools.
- This tool enhances accessibility for researchers without extensive programming skills.
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