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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

Analysis, identification and visualization of subgroups in genomics.

Gunnar Völkel¹, Simon Laban², Axel Fürstberger³

¹Institute of Medical Systems Biology (MSB), Ulm University, Ulm, Germany.

Briefings in Bioinformatics

|September 21, 2020

Summary

This summary is machine-generated.

This study reviews tools for cancer genomic data visualization and introduces AVAtar, a new platform for analyzing gene mutations and alterations in large patient cohorts for personalized medicine.

Keywords:

exploratory analysis multi-objective optimization vaccination targets visualization

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Cancer is a complex disease driven by accumulating somatic mutations.
Large-scale genomic data analysis is crucial for understanding cancer heterogeneity.
Identifying mutated genes aids in developing personalized treatment strategies.

Purpose of the Study:

To review existing tools for visualizing and analyzing cancer genomic alteration data.
To introduce AVAtar, a comprehensive software platform for alteration analysis.
To demonstrate AVAtar's utility in personalized medicine applications, such as vaccination target selection.

Main Methods:

Extensive review of current visualization and analysis tools for genomic alteration data.
Comparison of different approaches for studying mutual exclusivity and sample coverage in omics data.
Development and implementation of the AVAtar software, integrating diverse analytical features and a user-friendly interface.

Main Results:

AVAtar integrates customizable alteration plots with a multi-objective evolutionary algorithm for subset identification.
The software provides an innovative interface for evaluating concurrent solutions in genomic data analysis.
A personalized medicine use case highlights AVAtar's effectiveness in vaccination target selection.

Conclusions:

AVAtar offers a comprehensive platform for analyzing and visualizing cancer genomic alterations.
The software facilitates the identification of critical gene mutations for personalized therapeutic strategies.
AVAtar supports advanced applications in personalized medicine, enhancing data-driven treatment decisions.