Journalartikel

Jahr der Veröffentlichung: 2006

Seiten: 2819-2820

Zeitschrift: Bioinformatics

Bandnummer: 22

Heftnummer: 22

ISSN: 1367-4803

eISSN: 1367-4811

Open Access Status: Bronze

DOI Link: https://doi.org/10.1093/bioinformatics/btl466

Verlag: Oxford University Press

Abstract: 

The analysis of protein function is a challenge and a major bottleneck towards well-annotated and analysed microbial genomes. In particular, bacterial surface proteins present an opportunity for pharmacological intervention and vaccine development. We present Augur, an automatic prediction pipeline that integrates major surface prediction algorithms and enables comparative analysis, classification and visualization for gram-positive bacteria on a genomic scale.

Availability: http://bioinfo.mikrobio.med.uni-giessen.de/augur

Contact: Andre. Billion@mikrobio.med.uni-giessen.de

Supplementary information: Supplementary data are available at Bioinformatics online.

Harvard-Zitierstil: Billion, A., Ghai, R., Chakraborty, T. and Hain, T. (2006) Augur - a computational pipeline for whole genome microbial surface protein prediction and classification, Bioinformatics, 22(22), pp. 2819-2820. https://doi.org/10.1093/bioinformatics/btl466

APA-Zitierstil: Billion, A., Ghai, R., Chakraborty, T., & Hain, T. (2006). Augur - a computational pipeline for whole genome microbial surface protein prediction and classification. Bioinformatics. 22(22), 2819-2820. https://doi.org/10.1093/bioinformatics/btl466