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msmdev committed Jul 28, 2022
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Expand Up @@ -47,9 +47,12 @@ utilizing real Schur vectors instead of eigenvectors. |br|
*pyGPCCA* enables the semiautomatic coarse-graining of transition matrices representing the dynamics of the system
under study. Utilizing *pyGPCCA*, metastable states as well as cyclic kinetics can be identified and modeled.

If you use *pyGPCCA* or parts of it, please cite `JCTC (2018)`_.
How to cite pyGPCCA
-------------------
If you use *pyGPCCA* or parts of it, cite `JCTC (2018)`_ and `pyGPCCA`_.

.. _JCTC (2018): https://pubs.acs.org/doi/abs/10.1021/acs.jctc.8b00079
.. _pyGPCCA: https://doi.org/10.5281/zenodo.6913970

Installation
------------
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