Type of Publication: | Journal article |
Publication status: | Published |
Author: | Jagla, Bernd; Wiswedel, Bernd; Coppée, Jean-Yves |
Year of publication: | 2011 |
Published in: | Bioinformatics ; 27 (2011), 20. - pp. 2907-2909. - ISSN 1367-4803. - eISSN 1460-2059 |
Pubmed ID: | 21873641 |
DOI (citable link): | https://dx.doi.org/10.1093/bioinformatics/btr478 |
Summary: |
Summary: KNIME (Konstanz Information Miner) is a user-friendly and comprehensive open-source data integration, processing, analysis and exploration platform. We present here new functionality and workflows that open the door to performing next-generation sequencing analysis using the KNIME framework.
Availability: All sources and compiled code are available via the KNIME update mechanism. Example workflows and descriptions are available through http://tech.knime.org/community/next-generation-sequencing. |
Subject (DDC): | 004 Computer Science |
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JAGLA, Bernd, Bernd WISWEDEL, Jean-Yves COPPÉE, 2011. Extending KNIME for next-generation sequencing data analysis. In: Bioinformatics. 27(20), pp. 2907-2909. ISSN 1367-4803. eISSN 1460-2059. Available under: doi: 10.1093/bioinformatics/btr478
@article{Jagla2011-10-15Exten-37824, title={Extending KNIME for next-generation sequencing data analysis}, year={2011}, doi={10.1093/bioinformatics/btr478}, number={20}, volume={27}, issn={1367-4803}, journal={Bioinformatics}, pages={2907--2909}, author={Jagla, Bernd and Wiswedel, Bernd and Coppée, Jean-Yves} }