Quality Control of Phenotype Data

The Quality Control tool is an interactive web application for enhanced visualisation of genotype-phenotype data. It is designed specifically to facilitate identification and resolution of quality control issues with experimental data. A tight integration between data visualisation and issue management allows data wranglers and phenotypers to quickly resolve issues from within the tool.

See Users' manual
Integrated issue management
Raise issues by interactively selecting data points from the visualisation. These data points are highlighted when the issue is selected.
Track resolution history
Discuss issues and track resolution history of quality control issues. Provides a way to investigate the evolution of data against time.
Interactive visualisation
Interact with visualisations in real-time and analyse experimental results from different perspectives.
Descriptive statistics
Select and display descriptive statistics for enhanced analysis. Choose bar and whisker plots, Beeswarm plots, segmented bar charts and more.
Global access
Access experimental results and visualisations from anywhere in the world. Raise, discuss or resolve quality control issues from anywhere in the world.
Multi-site data
Visualise and carry out quality control checks on experimental results from various research institutes across the world.
Open-source project
Download, modify and improve the code-base. Source code available under Apache 2.0 license.
Research collaboration and funding

The International Mouse Phenotyping Consortium aims to advance our understanding of the relationship between genes and their functions through phenotyping research. The outcome from this research will help us understand the cause of genetic diseases and provide use with the necessary scientific data that will help us cure human diseases through the development of effective treatment.

This project is funded by the National Institutes of Health. The following are participating research institutes that are producing the phenotype data.

IMPC partner research institutes
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