The ever more complex fluctuation patterns discovered by single molecule experiments require statistical methods to analyze multi-state hopping traces of long lengths. Hidden Markov modeling is a statistical tool that offers the scalability to analyze even complex data and extract kinetic information. We give an introduction on how to implement hidden Markov modeling for the analysis of single molecule force spectroscopic traces, deal with missed events, and test the method on a calcium binding protein.
If you can't find a tool you're looking for, please click the link at the top of the page to "Go to old article view". Alternatively, view our Knowledge Base articles for additional help. Your feedback is important to us, so please let us know if you have comments or ideas for improvement.