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In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

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Flype: Software for enabling personalized medicine.

Donald L Helseth¹, Kamalakar Gulukota¹, Nicholas Miller¹

¹Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA.

American Journal of Medical Genetics. Part C, Seminars in Medical Genetics

|December 3, 2020

Summary

This summary is machine-generated.

Next-generation sequencing (NGS) generates vast data, posing informatics challenges. Flype, a web-based bioinformatics platform, manages NGS data, aids interpretation, and integrates results into electronic health records for clinical decision support.

Keywords:

EMR integration bioinformatics clinical decision support personalized medicine pharmacogenomics

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Area of Science:

Bioinformatics
Genomic Medicine
Clinical Informatics

Background:

Next-generation sequencing (NGS) has transformed clinical medicine, enabling extensive genomic testing.
This expansion presents significant informatics challenges in data management, result interpretation, and clinical decision support.

Purpose of the Study:

To introduce Flype, a web-based bioinformatics platform designed to address the informatics challenges associated with NGS data in a clinical setting.
To demonstrate Flype's capabilities in managing, analyzing, interpreting, and reporting genomic data.

Main Methods:

Development of a web-based platform (Flype) by bioinformaticians in a community hospital.
Implementation of features for secure data intake, order management, secondary analysis, variant annotation, and tertiary analysis.
Integration with Electronic Health Records (EHR) for seamless data transfer (PDF and discrete elements).

Main Results:

Flype supports diverse use cases including in-house and external NGS tests, pharmacogenomics, and consumer genomics.
The platform provides a central repository for genomic variants and facilitates population frequency analysis.
Flype enables dynamic updates of variant annotations based on evolving literature knowledge.

Conclusions:

Flype effectively addresses key informatics challenges in clinical genomics.
The platform enhances clinical decision support by providing accessible, interpretable genomic data.
Flype's modular design and diverse use cases demonstrate its utility in modern healthcare settings.