Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences
Abstract
Jstacs is an object-oriented Java library for analysing and classifying sequence data, which emerged from the need for a standardized implementation of statistical models, learning principles, classifiers, and performance measures. In Jstacs, these components can be used, combined, and extended easily, which allows for a direct comparison of different approaches and fosters the development of new components. Jstacs is especially tailored to biological sequence data, but is also applicable to general discrete and continuous data. Jstacs is freely available at http://www.jstacs.de under the GNU GPL license including an API documentation, a cookbook, and code examples.
Cite
Text
Grau et al. "Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences." Machine Learning Open Source Software, 2012.Markdown
[Grau et al. "Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences." Machine Learning Open Source Software, 2012.](https://mlanthology.org/mloss/2012/grau2012jmlr-jstacs/)BibTeX
@article{grau2012jmlr-jstacs,
title = {{Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences}},
author = {Grau, Jan and Keilwagen, Jens and Gohr, André and Haldemann, Berit and Posch, Stefan and Grosse, Ivo},
journal = {Machine Learning Open Source Software},
year = {2012},
pages = {1967-1971},
volume = {13},
url = {https://mlanthology.org/mloss/2012/grau2012jmlr-jstacs/}
}