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README for data, update in Doxygen config
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Doxyfile.in

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# title of most generated pages and in a few other places.
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# The default value is: My Project.
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PROJECT_NAME = mFINCH
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PROJECT_NAME = MACHINA
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# The PROJECT_NUMBER tag can be used to enter a project or revision number. This
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# could be handy for archiving the generated documentation or if some version
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# for a project that appears at the top of each page and should give viewer a
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# quick idea about the purpose of the project. Keep the description short.
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PROJECT_BRIEF = "migration Framework for INferring Cancer Histories"
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PROJECT_BRIEF = "Metastatic And Clonal History INtegrative Analysis"
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# With the PROJECT_LOGO tag one can specify a logo or an icon that is included
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# in the documentation. The maximum height of the logo should not exceed 55

data/README.md

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We consider two datasets:
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* Metastatic ovarian cancer [[1]](#ref1)
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* Metastatic breast cancer [[2]](#ref2)
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## Ovarian cancer
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McPherson *et al.* [[1]](#ref1) analyzed the clonal history of seven metastatic ovarian cancer patients. The authors used [PyClone](https://bitbucket.org/aroth85/pyclone/wiki/Home) to infer mutation clusters, and used these clusters to infer clone trees. Subsequently, the authors used the Sankoff algorithm to infer a single vertex labeling that minimizes the number of migrations.
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In [`data/mcpherson_2016/`](data/mcpherson_2016/) we provide the reported clone trees as well as the reported vertex labeled. For patient1 for instance we have the following files:
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* [`patient1.tree`](data/mcpherson_2016/patient1.tree) is the reported clone tree
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* [`patient1.labeling`](data/mcpherson_2016/patient1.labeling) is the reported leaf labeling
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* [`patient1.reported.labeling`](data/mcpherson_2016/patient1.reported.labeling) is the reported vertex labeling.
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## Breast cancer
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Hoadley *et al.* [[2]](#ref2) analyzed two metastatic breast cancer patients ([A1](data/hoadley_2016/A1) and [A7](data/hoadley_2016/A7)). The authors focused on only the copy-neutral single-nucleotide variants, which they clustered using [SciClone](https://github.com/genome/sciclone).
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Using [SPRUCE](https://github.com/raphael-group/spruce) and the provided read counts, we infer four mutation trees for A1 and two mutation trees for A7. See [`run_SPRUCE.sh`](data/hoadley_2016/run_SPRUCE) for the exact commands. The ipython notebooks for inferring the 99.99% confidence intervals on mutation cluster frequencies are present in the `raw` subdirectories.
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## References
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<a name="ref1"></a>
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[1] McPherson *et al.* Divergent modes of clonal spread and intraperitoneal mixing in high-grade serous ovarian cancer. [*Nature Genetics*, May 2016.](http://www.nature.com/ng/journal/v48/n7/abs/ng.3573.html)
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<a name="ref2"></a>
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[2] Hoadley *et al.* Tumor Evolution in Two Patients with Basal-like Breast Cancer: A Retrospective Genomics Study of Multiple Metastases. [*PLOS Med*, 13(12):e1002174, December 2016.](http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002174)
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