Jointly hosted with the Core for Computational Biomedicine (CCB)
glue genes is a new open source tool bringing the power of the glue visualization library to analysis of single-cell and spatial omics data. The core features of glue genes are (1) flexible linking of diverse, multi-dimensional datasets, (2) automatic connections across multiple visualizations, and (3) easy extensibility and integration with other open source Python tools. I will talk about the philosophy and design of glue genes, and show examples of how it can be used to explore linked datasets in real time, showcasing the desktop application as well as the in-development “glupyter” project, which puts the power of glue inside Jupyter Lab. glue genes is developed in partnership with the Jackson Laboratory.
Chief Technical Officer
Jonathan Foster is Chief Technical Officer of glue solutions, Inc. After earning his Ph.D. in astronomy at Harvard, he worked as a director of data science in the movie industry. Seeing deficiencies in the tools available for exploratory data analysis, he joined glue solutions in 2021. He is not a biologist, but has been working with them long enough to have picked up some of the jargon.
Additional links: https://glueviz.org/
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