scCODA allows for identification of compositional changes in high-throughput sequencing count data, especially cell compositions from scRNA-seq. It also provides a framework for integration of cell-type annotated data directly from scanpy and other sources. Aside from the scCODA model (B├╝ttner, Ostner et al (2021)), the package also allows the easy application of other differential testing methods.

More Information

For more information visit the scCODA website.

Available Versions

These versions of scCODA are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Version BEAR Apps Version
0.1.8-foss-2021b 2021b