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Analyzor
Tables
Multi.py
README.md
ResultsVisualizer_example.ipynb
TraceVisualizor_exmaple.ipynb

README.md

tbjcATTPCanalyzor

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instruction

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Though most of the programs are unfinished works, but they should give good insights of what the data look like.

The most complete program is the VertexAnalyzer, which reconstruct the

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instruction

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besides built-in Anaconda packages, you will also need opencv2 and seaborn (mainly for visualizing, when debug option is on)

conda install -c menpo opencv conda install seaborn

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running

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under the main folder, run for the multi-process mode

python Multi.py

the Multi.py will produce a text file contains a list of ranges for reaction length.

Or run the jupyter notebook interactive mode

jupyter notebook

once you in the jupyter browser, open either main.ipynb or MultiProcess.ipynb

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test

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This problem has been tested under local workstations, google cloud Ubuntu images, and Regulus HPC node. Ideally, this analysis package should work under all environment.

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responsibility

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Well, use at your own risk. I won't be able to maintain the code.

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