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Update README.rst #374

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Expand Up @@ -8,6 +8,13 @@ pre-processing, leveraging some tools from immcantation suite, and
integrates with scanpy/anndata for single-cell BCR/TCR analysis. It also
includes a couple of functions for visualization. Try it out on |Colab| !

Also check out our review at `Nature Methods <https://www.nature.com/articles/s41592-024-02243-4>`__ on "Single-cell immune
repertoire analysis":

.. [Irac2024] Irac *et al.* (2021),
*Single-cell immune repertoire analysis*,
`Nature Methods <https://www.nature.com/articles/s41592-024-02243-4>`__.

Overview
--------

Expand Down Expand Up @@ -210,6 +217,10 @@ References
*Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data*,
`Bioinformatics <https://academic.oup.com/bioinformatics/article/31/20/3356/195677>`__.

.. [Irac2024] Irac *et al.* (2024),
*Single-cell immune repertoire analysis*,
`Nature Methods <https://www.nature.com/articles/s41592-024-02243-4>`__.

.. [Setty2019] Setty *et al.* (2019)
*Characterization of cell fate probabilities in single-cell data with Palantir*,
`Nature Biotechnology <https://doi.org/10.1038/s41587-019-0068-4>`__.
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