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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

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Assocplots: a Python package for static and interactive visualization of multiple-group GWAS results.

Ekaterina A Khramtsova^1,2, Barbara E Stranger^1,2,3

¹Department of Medicine, Section of Genetic Medicine, The University of Chicago, Chicago, IL, USA.

Bioinformatics (Oxford, England)

|February 8, 2017

Summary

This summary is machine-generated.

Assocplots is a new Python package that enhances genome-wide association studies (GWAS) data visualization. It offers interactive tools beyond static plots, enabling better exploration of genetic variant associations across multiple studies.

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Area of Science:

Genetics
Bioinformatics
Computational Biology

Background:

Genome-wide association studies (GWAS) generate extensive data requiring advanced visualization tools.
Traditional static plots like QQ and Manhattan plots have limitations in displaying complex GWAS results.
Interactive visualization is crucial for exploring relationships within large-scale genetic association data.

Purpose of the Study:

To introduce Assocplots, a novel Python package for visualizing and exploring GWAS results.
To provide dynamic visualization capabilities that overcome the limitations of static plots.
To facilitate the interactive comparison of GWAS findings across multiple cohorts or studies.

Main Methods:

Development of the Assocplots Python package.
Implementation of interactive visualization features for GWAS data.
Integration of classic static Manhattan and QQ plots with dynamic exploration.

Main Results:

Assocplots offers a dynamic extension for visualizing relationships between GWAS results from multiple studies.
The package supports interactive exploration of genetic associations.
It provides an alternative to static visualizations for comprehensive data analysis.

Conclusions:

Assocplots enhances the exploration and interpretation of GWAS results through interactive visualization.
The package facilitates a deeper understanding of genetic associations by enabling multi-cohort comparisons.
Assocplots is an open-source tool available for the research community.