Extending KNIME for next-generation sequencing data analysis

Cite This

Files in this item

Files Size Format View

There are no files associated with this item.

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} }

Wiswedel, Bernd Coppée, Jean-Yves Jagla, Bernd Jagla, Bernd 2017-03-02T10:41:43Z 2017-03-02T10:41:43Z Coppée, Jean-Yves 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.<br /><br />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. Extending KNIME for next-generation sequencing data analysis Wiswedel, Bernd eng 2011-10-15

This item appears in the following Collection(s)

Search KOPS


My Account