We hope you see the ultimate benefits, not only for the sake of auditable, reproducible science, but for your own development of highly valuable data science skills. While most of the same things (and much more) are possible with OMIQ, you may have to take slightly different steps than you are used to, and to think differently about data analysis. It is inspired by the needs for generalizability, data integration, and to promote auditable and reproducible analytics.įor these reasons, certain analytical goals for cytometry may be accomplished differently than you are used to with other cytometry-specific software. This is what drives the design of our software, which is built around a flexible and simple “syntax” of stepwise operations on data. It is a data science platform meant to integrate all biomedical analytics (and more) eventually. While our first priority is perfecting cytometry analysis, it should be noted that OMIQ is not specifically a cytometry analysis software. If you do this tutorial you will be in very good shape for using OMIQ and for executing high-dimensional analysis workflows. It can be followed linearly for a complete end-to-end workflow going from raw data to statistical significance, or you can search for specific topics. ![]() This document is a mix of tutorial and documentation for using OMIQ for cytometry analysis. Thanks for your interest in OMIQ Data Science Platform!
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