Documentation

 

Abstract

 

We present CALISTA (Clustering and Lineage Inference in Single-Cell Transcriptional Analysis), a numerically efficient and highly scalable toolbox for an end-to-end analysis of single-cell transcriptomic profiles. CALISTA includes four essential single-cell analyses for cell differentiation studies, including single-cell clustering, reconstruction of cell lineage specification, transition gene identification, and cell pseudotime ordering. These analyses can be applied individually or in a pipeline.

Installation and Usage

Please visit our Installation and Tutorials pages for detailed instructions about how to use CALISTA.

References

 

Please click here

Note

 

If you find problems with the software or errors in the documentation, report the issue in our Github repository. If you would like to contribute please contact the authors.

 
 
 
 

© 2018 by Rudiyanto Gunawan