Journal article

Publication year: 2006

Pages: 2819-2820

Journal: Bioinformatics

Volume number: 22

Issue number: 22

ISSN: 1367-4803

eISSN: 1367-4811

Open access status: Bronze

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

Publisher: 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 Citation style: 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 Citation style: 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