MycView
MycView is an open-source visual analytics platform for exploring multi-omics cancer data. It enables interactive visualization and analysis of complex genomics datasets to gain insights into biological mechanisms and biomarker discovery.
genomics
visualization
cancer-research
MycView: Open-Source Visual Analytics Platform
Explore multi-omics cancer data with MycView, an open-source platform offering interactive visualization and analysis of complex genomics datasets for biological mechanism insights and biomarker discovery.
What is MycView?
MycView is an open-source visual analytics platform designed specifically for exploring multi-omics cancer data. It allows cancer researchers to interactively visualize and analyze complex genomics datasets including DNA mutations, copy number variations, mRNA expression, miRNA expression, and protein expression.
Key features of MycView include:
- Interactive and dynamic visualizations such as oncoprints, heatmaps, scatter plots, and parallel coordinate plots
- Support for loading and analyzing user-provided datasets in addition to 33 built-in cancer datasets
- Identification of mutations and copy number alterations across samples
- Clustering samples by molecular characteristics
- Annotating visualizations with clinical and biological metadata
- Statistical testing and identification of biomarkers
- Collaborative analytics through shared workspace and bookmarks
By enabling deep exploration of multi-omics data, MycView facilitates gaining new insights into biological mechanisms of cancer and discovery of diagnostic, prognostic and therapeutic biomarkers. Its interactive visual interface makes complex genomics data accessible and understandable to a wide range of users including cancer biologists, bioinformaticians, clinicians and patients.
MycView Features
Features
- Interactive visualization and analysis of multi-omics cancer data
- Support for common genomic data types and formats
- Customizable plots and visualizations
- Collaboration tools to share analyses
- Open-source and extensible architecture
Pricing
- Open Source
Pros
User-friendly graphical interface
Powerful analytics for exploring complex datasets
Open source and free to use
Customizable and extensible
Collaborative features
Cons
Limited to cancer genomics data
Requires bioinformatics expertise to fully utilize
Not as feature-rich as some commercial platforms
Official Links
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