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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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DNAseq Workflow in a Diagnostic Context and an Example of a User Friendly Implementation
Beat Wolf1, Pierre Kuonen2, Thomas Dandekar3
1University of Applied Sciences and Arts of Western Switzerland, Perolles 80, 1700 Fribourg, Switzerland ; University of Würzburg, Am Hubland, 97074 Würzburg, Germany.
Biomed Research International
|July 3, 2015
Summary
GensearchNGS simplifies next-generation sequencing (NGS) data analysis for clinical settings. This DNA sequencing software optimizes existing infrastructure, making advanced genetic analysis accessible for smaller labs.
Area of Science:
- Genomics and Bioinformatics
- Clinical Diagnostics
Background:
- Next-generation sequencing (NGS) technologies have become more accessible and affordable.
- Wider adoption of NGS in clinical settings is hindered by the need for specialized expertise and infrastructure.
- Smaller laboratories face particular challenges in implementing complex NGS data analysis pipelines.
Purpose of the Study:
- To introduce GensearchNGS, a commercial DNA sequencing software suite designed for simplified NGS data analysis.
- To demonstrate how GensearchNGS leverages existing infrastructure and custom algorithms to overcome adoption barriers.
- To present a comprehensive DNA sequencing workflow for NGS data, from quality control to variant reporting.
Main Methods:
- Integration of existing bioinformatics tools into a unified software environment.
- Development of custom algorithms tailored for resource-limited laboratory settings.
- Implementation of a distributed computing approach to accelerate computationally intensive tasks like sequence alignment.
- Inclusion of features such as gene panels and integration with online databases (Ensembl, Cafe Variome).
Main Results:
- GensearchNGS provides a user-friendly interface for complex NGS data analysis.
- The software facilitates efficient data processing, even with limited computational resources.
- The workflow covers the entire analysis pipeline, from raw data to final variant reports, enhancing clinical utility.
Conclusions:
- GensearchNGS effectively addresses the technical and infrastructural challenges of NGS data analysis in clinical environments.
- The software promotes wider adoption of NGS technologies, particularly in smaller laboratories.
- GensearchNGS offers a practical solution for robust and accessible genetic variant analysis.
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