PRO
Machine Learning of Single Molecule Trajectories
Sojourner.Pro is an add-on software for Sojourner with advanced analysis features. Given Sojourner focuses on biometric based statistical analysis; Sojourner.pro is all about applying machine learning and deep learning algorithms on biophysical metrics-based modelling; with the intend to further classify types of diffusion and states of the molecules.
The machine learning algorithms in PRO currently includes Hidden Markov Model (HMM) and Artificial Neuron Network (ANN) (under develop) to predict molecule states and state associated parameters. They are primarily implemented in Python programing language with native integration of machine learning and deep learning libraries, and presented in R for ease-of-use for Sojourner users. Besides features, the PRO also comes with dedicated support through email. See table below for a detailed comparison.
| Sojourner | PRO | |
|---|---|---|
| Audience | Individual Hobbyists | Small-Median Lab |
| Mean Square Displacement | √ | √ |
| Diffusion coefficient | √ | √ |
| Residence Time | √ | √ |
| Packing coefficient | √ | √ |
| Shinny web Interface | √ | √ |
| Advanced Trajectory Manipulations | － | √ |
| Advanced Modeling Features | － | √ |
| Hidden Markov Model | － | √ |
| Artificial Neuron Network | － | √ |
| Dedicated Support | － | √ |
| License | Artistic 2.0 | Commercial |
| Pricing (Academic) | Free | US$480 /year |
To know more about Sustainable Open Source Model that PRO is following, checkout the “Sustainable Open Source Model Q&A” on wiki page of Sojourner, it addresses “Why PRO”, “Why buy when you can build for free”, and “Why subscribe”.
For information on team that is building the PRO, check SERVICE.