antiSMASH allows the rapid genome-wide identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genomes. It integrates and cross-links with a large number of in silico secondary metabolite analysis tools that have been published earlier.
antiSMASH is powered by several open source tools: NCBI BLAST+, HMMer 3, Muscle 3, Glimmer 3, FastTree, TreeGraph 2, Indigo-depict, PySVG and JQuery SVG.
antiSMASH is the product of a collaborative effort between the Department of Microbial Physiology and Groningen Bioinformatics Centre of the University of Groningen, the Department of Microbiology of the University of Tübingen, the Synthetic Biology and Computational and Evolutionary Biology groups at the Faculty of Life Sciences at the University of Manchester and the Department of Bioengineering and Therapeutic Sciences at the University of California, San Francisco.
antiSMASH is supported by the GenBiotics program of the Dutch Technology Foundation (STW), which is the applied-science division of The Netherlands Organisation for Scientific Research (NWO) and the Technology Programme of the Ministry of Economic Affairs (grant STW 10463) as well as the GenBioCom program of the German Ministry of Education and Research (BMBF) grant 0315585A.
How to cite
If you have found antiSMASH useful, please cite:
antiSMASH 3.0 — a comprehensive resource for the genome mining of biosynthetic
Tilmann Weber, Kai Blin, Srikanth Duddela, Daniel Krug, Hyun Uk Kim, Robert Bruccoleri, Sang Yup Lee, Michael A. Fischbach, Rolf Müller, Wolfgang Wohlleben, Rainer Breitling, Eriko Takano & Marnix H. Medema
Nucleic Acids Research (2015) doi: 10.1093/nar/gkv437.
antiSMASH 2.0 — a versatile platform for genome mining of secondary metabolite
Kai Blin, Marnix H. Medema, Daniyal Kazempour, Michael A. Fischbach, Rainer Breitling, Eriko Takano, & Tilmann Weber
Nucleic Acids Research (2013) doi: 10.1093/nar/gkt449.
antiSMASH: Rapid identification, annotation and analysis of secondary
metabolite biosynthesis gene clusters.
Marnix H. Medema, Kai Blin, Peter Cimermancic, Victor de Jager, Piotr Zakrzewski, Michael A. Fischbach, Tilmann Weber, Rainer Breitling & Eriko Takano
Nucleic Acids Research (2011) doi:10.1093/nar/gkr466