pytc: Open-Source Python Software for Global Analyses of Isothermal Titration Calorimetry Data.

doi:10.1021/acs.biochem.7b01264

Paper

pytc: Open-Source Python Software for Global Analyses of Isothermal Titration Calorimetry Data.

Published Apr 5, 2018 · Hiranmayi Duvvuri, L. Wheeler, M. Harms

Biochemistry

Q1 SJR score

23

Citations

2

Influential Citations

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Abstract

Here we describe pytc, an open-source Python package for global fits of thermodynamic models to multiple isothermal titration calorimetry experiments. Key features include simplicity, the ability to implement new thermodynamic models, a robust maximum likelihood fitter, a fast Bayesian Markov-Chain Monte Carlo sampler, rigorous implementation, extensive documentation, and full cross-platform compatibility. pytc fitting can be done using an application program interface or via a graphical user interface. It is available for download at https://github.com/harmslab/pytc .

Study Snapshot

pytc is an open-source Python package for global fits of thermodynamic models to isothermal titration calorimetry data, offering simplicity, new thermodynamic models, robust maximum likelihood fitter, fast Bayesian Markov-Chain Monte Carlo sampler, and cross-platform compatibility.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

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Paper

pytc: Open-Source Python Software for Global Analyses of Isothermal Titration Calorimetry Data.

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References

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Author Manuscript

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