chinet

chinet is a C++ library to create optimize, sample, and archive global models. A global model is a model, that unites multiple data-sets and seeks for a joint description of the united dataset.

Global models can unite datasets of the same kind or datasets of different types. A typical examples of a global model in fluorescence experiments is the joint description of multiple fluorescence correlation curves in a titration and the joint description of multiple fluorescence decay curves reporting on FRET in a biomolecular structure by a single structural model.

Computing a global model with a large diverse set of different data can be computationally expensive. To reduce the computational costs and to decrease the evaluation time of a global model defined by chinet, the mutual dependencies of the model parameters are modeled by a graph structure that connects “computing nodes”. When a a set of parameters is changed only computing nodes that are affected by these changes are evaluated. Independent nodes are evaluated in parallel.

The state of the evaluation graph can be written to a database for documentation purposes and reconstructed using unique identifies provided by the database.

chinet is NOT intended as ready-to-use software for specific application purposes.

Contents

• Installation
• Curves
• C++ API
• Glossary
• References

Indices and tables

• Index

• Search Page

License

chinet is released under the open source MIT license.