Show simple item record

dc.contributor.authorvan der Helm, Eric
dc.contributor.authorGeertz-Hansen, Henrik M
dc.contributor.authorGenee, Hans J
dc.contributor.authorMalla, Sailesh
dc.contributor.authorSommer, Morten O A
dc.date.accessioned2015-09-01T18:28:49Z
dc.date.available2015-09-01T18:28:49Z
dc.date.issued2015-07-31
dc.identifier.citationBMC Research Notes. 2015 Jul 31;8(1):328
dc.identifier.urihttp://dx.doi.org/10.1186/s13104-015-1281-y
dc.identifier.urihttp://hdl.handle.net/10724/32030
dc.description.abstractAbstract Background Functional metagenomic selections represent a powerful technique that is widely applied for identification of novel genes from complex metagenomic sources. However, whereas hundreds to thousands of clones can be easily generated and sequenced over a few days of experiments, analyzing the data is time consuming and constitutes a major bottleneck for experimental researchers in the field. Findings Here we present the deFUME web server, an easy-to-use web-based interface for processing, annotation and visualization of functional metagenomics sequencing data, tailored to meet the requirements of non-bioinformaticians. The web-server integrates multiple analysis steps into one single workflow: read assembly, open reading frame prediction, and annotation with BLAST, InterPro and GO classifiers. Analysis results are visualized in an online dynamic web-interface. Conclusion The deFUME webserver provides a fast track from raw sequence to a comprehensive visual data overview that facilitates effortless inspection of gene function, clustering and distribution. The webserver is available at cbs.dtu.dk/services/deFUME/and the source code is distributed at github.com/EvdH0/deFUME.
dc.titledeFUME: Dynamic exploration of functional metagenomic sequencing data
dc.typeJournal Article
dc.date.updated2015-07-31T03:42:34Z
dc.language.rfc3066en
dc.rights.holdervan der Helm et al.


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record