The GCTx format and cmap{Py, R, M} packages: resources for the optimized storage and integrated traversal of dense matrices of data and annotations
Oana M. Enache, David L. Lahr, Ted E. Natoli, Lev Litichevskiy, David Wadden, Corey Flynn, Joshua Gould, Jacob K. Asiedu, Rajiv Narayan, Aravind Subramanian
The paper introduces the GCTx format and associated software packages for efficiently storing and analyzing large dense matrices of perturbation data and annotations.
bioRxiv · Jan 3, 2018 · PreprintBioinformatics