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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

CGEN--a Clinical GENetics software application.

Pål Møller¹, Neal Clark

¹Norwegian Radium Hospital, Section of Cancer Genetics, Oslo, Norway. moller.pal@gmail.com

|March 10, 2011

Summary

Clinical GENetics (CGEN) software aids genetic clinics in collecting organized, verified data for research. It facilitates secure data exchange between clinics and repositories, supporting collaborative genetic studies.

Area of Science:

Bioinformatics
Genetics
Health Informatics

Background:

Genetic research requires well-organized and verified data.
Existing IT solutions may not adequately address the specific needs of genetic clinics.
Data sharing and collaboration are crucial for advancing genetic research.

Purpose of the Study:

To describe the functionality and IT requirements of the Clinical GENetics (CGEN) software.
To highlight CGEN's capabilities for managing genetic data within clinics.
To emphasize CGEN's potential for facilitating collaborative data exchange.

Main Methods:

The article details the features and technical specifications of the CGEN software.
It outlines the necessary IT infrastructure for CGEN implementation.

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The unique data management and sharing capabilities of CGEN are discussed.

Main Results:

CGEN provides a robust system for collecting and managing genetic data.
The software is designed to meet the IT demands of genetic clinics.
CGEN offers a platform for secure and efficient data exchange.

Conclusions:

CGEN is a valuable IT solution for genetic clinics, enhancing data organization and verification.
The software supports collaborative research through its data exchange features.
CGEN is positioned as a potential data collection tool for initiatives like The Human Variome Project.