Update README.md

Author: Gagniuc

README.md

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 # Predictions with Markov Chains
-Predictions with Markov Chains on an unlimited number of states
 
-Mode: Java Script (native)
-
-Dependencies: none (one file app)
-
-The application multiplies a probability vector with a transition matrix multiple times (<i>n</i> steps - user defined). On each step, the values from the resulting probability vectors are plotted on a chart. The resulting curves on the chart indicate the behavior of the system over <i>n</i> steps. Note that the application allows a prediction for systems with a maximum of four states.
-
-This subject of pseudo-random numbers is related to a philosophical discussion from the book entitled <i>Algorithms in Bioinformatics: Theory and Implementation</i>. Note that the construction and theory behind the chart of this application can be found [here](https://github.com/Gagniuc/World-smallest-js-chart-v1.0).
+This JS application multiplies a probability vector with a transition matrix multiple times (<i>n</i> steps - user defined). On each step, the values from the resulting probability vectors are plotted on a chart. The resulting curves on the chart indicate the behavior of the system over <i>n</i> steps. Note that the application allows a prediction for systems with a maximum of 13 states. However, more states can be added. The application has no dependencies and can be used as a single offline html file. Note that the construction and theory behind the chart of this application can be found [here](https://github.com/Gagniuc/World-smallest-js-chart-v1.0).
 
 Live demo: https://gagniuc.github.io/Predictions-with-Markov-Chains/
 
 <kbd><img src="ScreenShot%20-%20Predictions%20with%20Markov%20Chains%20on%20an%20unlimited%20number%20of%20states.png" /></kbd>
+
+# References
+
+- <i>Paul A. Gagniuc. Algorithms in Bioinformatics: Theory and Implementation. John Wiley & Sons, Hoboken, NJ, USA, 2021, ISBN: 9781119697961.</i>