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Add support for anndata backed mode (#943)
* initial cut at backed mode * make flask multithreading conditional on debug flag * update X access to support backed mode * lint * improve help message for backed mode * fix tests * add MatrixProxy to normalize supported matrix types * add FAQ entry for --backed * remove use of matrix.T * clean up * add ability to disable diffexp from CLI; add hueristic to detect likely slow diffexp calculation, and warn user * fix tests * do not print diffexp speed warning if diffexp is disabled * tweak wording of diffexp speed messages * add FAQ entry on --disable-diffexp * revise heuristic for warning about slow diffexp * use quick tooltip delay on diffexp button
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@@ -12,7 +12,7 @@ Currently, you can go straight into `cellxgene launch` with your own analyzed da
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If your data is in a different format, and/or you still need to perform dimensionality reduction and clustering, `cellxgene` can do that for you with the `prepare` command. `cellxgene prepare` runs `scanpy` under the hood and can read in any format that is currently supported by `scanpy` (including mtx, loom, and more listed [here](https://scanpy.readthedocs.io/en/latest/api/index.html#reading)).
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To add `cellxgene prepare` to your cellxgene installation run `pip install cellxgene[prepare]`.
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To add `cellxgene prepare` to your cellxgene installation run `pip install cellxgene[prepare]`.
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The output of `cellxgene prepare` is a h5ad file with your computed clusters and tsne/umap projections that can be used in `cellxgene launch`.
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@@ -110,3 +110,21 @@ For example:
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pip install s3fs
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cellxgene launch s3://mybucket.s3-us-west-2.amazonaws.com/mydata.h5ad
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```
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#### What does the command line option `--backed` do?
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The `--backed` option instructs `cellxgene launch` to read the H5AD file in "backed" mode (for more information, see the
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[anndata.read_h5ad() documentation](https://anndata.readthedocs.io/en/latest/anndata.read_h5ad.html#anndata.read_h5ad)).
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By default, cellxgene will read the entire H5AD will be into memory at startup, improving application speed and performance.
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Very large datasets may not fit in memory. The "--backed" mode will read the file incrementally, reducing memory
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use, and for large files, improving startup speed. _However_, this option will also significantly slow
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down access to gene expression histograms, and may render differential expression calculations too slow
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to use (see `--disable-diffexp` for an option to disable this feature).
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#### What does the command line option `--disable-diffexp` do?
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The `--disable-diffexp` option will disable and hide the `Compute Differential Expression` feature.
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For large datasets, or datasets loaded with the `--backed` option, computing differential expression may
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be extremely slow or use excessive reources on the host computer (eg, memory thrasing).
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Disabling the feature will ensure that the end-user does not accidentally initiate this computation.
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