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Exploratory data analysis and visualization tool for time-series multi-omics data sets.
This tool is created for the following paper:
MOVIS: A Multi-Omics Software Solution for Multi-modal Time-Series Clustering and Embedding Tasks Aleksandar Anžel, Dominik Heider, and Georges Hattab
Please cite the paper as:
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Time-series multi-omics data sets are becoming more accessible and available than ever before. Besides this, the big increase in computational power in recent years allows researchers to work with those big data sets in a much more streamlined manner than before. However, today's tools do not properly capture the real power of multi-modalities of those data sets is not properly captured by today's tools.
In order to pinpoint anomalies and patterns in time-series multi-omic data sets, researchers often rely on collaborations with other experts and many complex software solutions. To enable easier manipulation and capture of the real power of time-series multi-omic data sets, we developed a web-based tool 'MOVIS'.
MOVIS uses the latest technologies and libraries in the Python ecosystem joined with the state-of-the-art front-end library Streamlit. MOVIS is built from the ground up with modularity in mind so that new functionalities could be easily incorporated into it. MOVIS can also be run locally as we also provide a DOCKER container.
The goal of this Wiki is to provide easy access to the methodologies used to design MOVIS. It should also guide users on how to use this tool to capture its true potential.