We jointly-hic to create an atlas of 89 human Hi-C samples, uncovering distinct patterns of nuclear architecture associated with heterochromatin composition and demonstrating how higher-order principal components capture missing information about gene expression and regulatory element activity.

Joint decomposition allows for robust and directly comparable low dimensional representations of arbitrarily many contact maps, providing insights into genome organization across diverse biological contexts, from different tissues to developmental stages.

The classic A/B compartment track comes from matrix factorization of a contact matrix into eigenvectors or PCs. Done separately, each map is projected onto a different coordinate system. Comparing such vectors directly is problematic, especially if seeking info from **higher-order** components.

I'm proud to announce the latest release of 🧬 #Oxbow 🏹, with new features to make NGS data analysis more powerful, efficient, and "composable".

Learn more at: oxbow.readthedocs.io