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Add missing release info to release notes docs.
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Add missing release info to release notes docs.
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ghuls committed Aug 16, 2022
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6 changes: 3 additions & 3 deletions README.rst
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0.12.0 | 2022-08-16
^^^^^^^^^^^^^^^^^^^

* Only databases in Feather v2 format are supported now (ctxcore >= 0.2),
which allow uses recent versions of pyarrow (>=8.0.0) instead of very old ones (<0.17).
* Only databases in Feather v2 format are supported now (`ctxcore <https://github.com/aertslab/ctxcore>`_ ``>= 0.2``),
which allow uses recent versions of pyarrow (``>=8.0.0``) instead of very old ones (``<0.17``).
Databases in the new format can be downloaded from https://resources.aertslab.org/cistarget/databases/
and end with `*.genes_vs_motifs.rankings.feather` or `*.genes_vs_tracks.rankings.feather`.
and end with ``*.genes_vs_motifs.rankings.feather`` or ``*.genes_vs_tracks.rankings.feather``.
* Support clustered motif databases.
* Use custom multiprocessing instead of dask, by default.
* Docker image uses python 3.10 and contains only needed pySCENIC dependencies for CLI usage.
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68 changes: 68 additions & 0 deletions docs/releasenotes.rst
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Release Notes
=============

0.12.0 | 2022-08-16
^^^^^^^^^^^^^^^^^^^

* Only databases in Feather v2 format are supported now (`ctxcore <https://github.com/aertslab/ctxcore>`_ ``>= 0.2``),
which allow uses recent versions of pyarrow (``>=8.0.0``) instead of very old ones (``<0.17``).
Databases in the new format can be downloaded from https://resources.aertslab.org/cistarget/databases/
and end with ``*.genes_vs_motifs.rankings.feather`` or ``*.genes_vs_tracks.rankings.feather``.
* Support clustered motif databases.
* Use custom multiprocessing instead of dask, by default.
* Docker image uses python 3.10 and contains only needed pySCENIC dependencies for CLI usage.
* Remove unneeded scripts and notebooks for unused/deprecated database formats.

0.11.2 | 2021-05-07
^^^^^^^^^^^^^^^^^^^

* Split some core cisTarget functions out into a separate repository, `ctxcore <https://github.com/aertslab/ctxcore>`_. This is now a required package for pySCENIC.

0.11.1 | 2021-02-11
^^^^^^^^^^^^^^^^^^^

* Fix bug in motif url construction (#275)
* Fix for export2loom with sparse dataframe (#278)
* Fix sklearn t-SNE import (#285)
* Updates to Docker image (expose port 8787 for Dask dashboard)

0.11.0 | 2021-02-10
^^^^^^^^^^^^^^^^^^^

**Major features:**

* Updated arboreto_ release (GRN inference step) includes:

* Support for sparse matrices (using the ``--sparse`` flag in ``pyscenic grn``, or passing a sparse matrix to ``grnboost2``/``genie3``).
* Fixes to avoid dask metadata mismatch error

* Updated cisTarget:

* Fix for metadata mismatch in ctx prune2df step
* Support for databases Apache Parquet format
* Faster loading from feather databases
* Bugfix: loading genes from a database (previously missing the last gene name in the database)

* Support for Anndata input and output

* Package updates:

* Upgrade to newer pandas version
* Upgrade to newer numba version
* Upgrade to newer versions of dask, distributed

* Input checks and more descriptive error messages.

* Check that regulons loaded are not empty.

* Bugfixes:

* In the regulons output from the cisTarget step, the gene weights were incorrectly assigned to their respective target genes (PR #254).
* Motif url construction fixed when running ctx without pruning
* Compression of intermediate files in the CLI steps
* Handle loom files with non-standard gene/cell attribute names
* Reformat the genesig gmt input/output
* Fix AUCell output to loom with non-standard loom attributes


0.10.4 | 2020-11-24
^^^^^^^^^^^^^^^^^^^

* Included new CLI option to add correlation information to the GRN adjacencies file. This can be called with ``pyscenic add_cor``.

0.10.3 | 2020-07-15
^^^^^^^^^^^^^^^^^^^
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