Data-mining protein structure by clustering, segmentation and evolutionary algorithms
| Authors | |
|---|---|
| Year of publication | 2009 |
| Type | Article in Proceedings |
| Conference | Data Mining: Theoretical Foundations and Applications |
| MU Faculty or unit | |
| Citation | |
| Web | http://dx.doi.org/10.1007/978-3-642-01088-0_10 |
| Doi | http://dx.doi.org/10.1007/978-3-642-01088-0_10 |
| Field | Informatics |
| Keywords | data mining; bioinformatics; protein structure; biological sequence analysis; segmentation |
| Description | After a brief introduction to Bioinformatics, the authors discuss how Evolutionary Algorithms can be used to solve problems from Bioinformatics. Later, the authors describe how clustering techniques can group protein fragments and how short fragments can be combined to obtain a larger segment and therefore be able to infer higher level functions for a protein. |
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