Jstacs

author: Andre Gohr, Leibniz Institute of Plant Biochemistry
published: July 20, 2010,   recorded: June 2010,   views: 93
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Description

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.

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Download slides icon Download slides: icml2010_gohr_jstacs_01.pdf (4.6┬áMB)


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