The Synthesis Success Calculator was developed in Python 2.7.15 using the Anaconda scientific computing stack 21 . DNA folding predictions were performed using Vienna RNA 2.4.1 22 . Random forests were produced using scikit-learn 16 . Forest analysis and interpretation was done using the treeintepreter 17 python package and functions from the rfpimp package (https://github.com/parrt/random-forest-importances). External sequences were read and partitioned using Biopython 23 . An implementation of the analysis pipeline used here can be found on GitHub (https://github.com/hsalis/SalisLabCode). The latest version of the Synthesis Success Calculator can be accessed at https://salislab.net/software.
Scientific computing stack
Manufactured by Anaconda
The Scientific computing stack is a comprehensive software suite designed to facilitate data analysis, scientific computing, and numerical simulations. It provides a collection of open-source libraries and tools that enable users to perform a wide range of scientific and technical computations. The stack includes components such as programming languages, numerical and scientific computing libraries, data visualization tools, and other supporting utilities to enable efficient and effective scientific computing workflows.
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Lab products found in correlation
2 protocols using scientific computing stack
1
Synthesis Success Prediction Pipeline
2
Synthesis Success Prediction Pipeline
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The Synthesis Success Calculator was developed in Python 2.7.15 using the Anaconda scientific computing stack 21 . DNA folding predictions were performed using Vienna RNA 2.4.1 22 . Random forests were produced using scikit-learn 16 . Forest analysis and interpretation was done using the treeintepreter 17 python package and functions from the rfpimp package (https://github.com/parrt/random-forest-importances). External sequences were read and partitioned using Biopython 23 . An implementation of the analysis pipeline used here can be found on GitHub (https://github.com/hsalis/SalisLabCode). The latest version of the Synthesis Success Calculator can be accessed at https://salislab.net/software.
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