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compared on test datasets or by cross-validation experiments evaluating several performance measures. Due to its strictly object-oriented | compared on test datasets or by cross-validation experiments evaluating several performance measures. Due to its strictly object-oriented | ||
design Jstacs is easy to use and readily extensible. | design Jstacs is easy to use and readily extensible. | ||
== Current release == | |||
[[Downloads | Jstacs v1.0]] |
Revision as of 13:00, 1 September 2008
Jstacs
A Java framework for statistical analysis and classification of biological sequences
Sequence analysis is one of the major subjects of bioinformatics. Several existing libraries combine the representation of biological sequences with exact and approximate pattern matching as well as alignment algorithms. We present Jstacs, an open source Java library, which focuses on the statistical analysis of biological sequences instead. Jstacs comprises an efficient representation of sequence data and provides implementations of many statistical models with generative and discriminative approaches for parameter learning. Using Jstacs, classifiers can be assessed and compared on test datasets or by cross-validation experiments evaluating several performance measures. Due to its strictly object-oriented design Jstacs is easy to use and readily extensible.