Editing Sequence analysis (section)

== Computational approaches and techniques ==

Sequence analysis tasks are often non-trivial to resolve and require the use of relatively complex approaches, many of which are the backbone behind many existing sequence analysis tools. Of the many methods used in practice, the most popular include the following:
* [[Dynamic programming]]
* [[Artificial neural network]]
* [[Hidden Markov model]]
* [[Support vector machine]]
* [[Cluster analysis|Clustering]]
* [[Bayesian network]]
* [[Regression analysis]]
* [[Sequence mining]]
* [[Alignment-free sequence analysis]]