heatmap-scatter-dash
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Interactive visualizations for differential expression
``` * Serving Flask app "app_runner" (lazy loading) * Environment: production WARNING: Do not use the development server in a production environment. Use a production WSGI server instead. ```
Users may want to work with those genes above a certain p-value. Let them either specify this precisely or give details about the range selected.
We ended up getting a Refinery 500 eventually, instead of failing quickly and getting an error from the tool. The url was: `smb://rc-stor4.dfci.harvard.edu/rslab/1/data_store/Harshabad/Harshabad_ATAC_011618/fastq/20180109_HS25_UJ5171_S10_R1_001.fastq.gz` (On the Refinery side: https://github.com/refinery-platform/refinery-platform/issues/2763)
Doesn't look that hard http://xlrd.readthedocs.io/en/latest/index.html ... but maybe not useful for us?
- just one runner - along with `--files` and `--demo`, add `--environ` which takes a string, and if that string is a path, reads an `input.json`: otherwise, read from environment...
I had started using pipenv, but I think it's not quite mature enough. - First hit a problem with Elastic Beanstalk for Python: it still requires `requirements.txt` -> Not a...
- Make it correlate, a little. - Maybe some artificial cluster?
With the latest plotly release, selecting multiple regions should be possible: https://github.com/plotly/plotly.js/issues/698 ... except it doesn't work for me? Guessing it's that I redraw after selection, and there's no way...
With the latest plotly.js release we can specify which points are selected (https://github.com/plotly/plotly.js/issues/1848). This would be much better than emulating that with multiple traces. Depends on #118.