Jstacshttp://mloss.orgUpdates and additions to JstacsenWed, 13 Sep 2017 14:25:38 -0000Jstacs 2.3<html><p>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. </p></html>Jens Keilwagen, Jan Grau, Andre GohrWed, 13 Sep 2017 14:25:38 -0000 learningbayesian networksmarkov random fieldssupervised learningemmixture modelsjavalearning principlesprobabilistic modelsmotif discovery