antiSMASH specifications

Unique identifier:
OMICS_09209
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
Python
Version:
4.0.2
Source code URL:
https://dl.secondarymetabolites.org/releases/4.0.2/antismash-4.0.2.tar.gz
Name:
antibiotics & Secondary Metabolite Analysis Shell
Interface:
Command line interface, Application programming interface
Operating system:
Unix/Linux
Computer skills:
Advanced
Stability:
Stable
Maintained:
Yes

versioning

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antiSMASH distribution

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antiSMASH specifications

Unique identifier:
OMICS_09209
Interface:
Web user interface
Programming languages:
Python
Version:
4.0
Maintained:
Yes
Name:
antibiotics & Secondary Metabolite Analysis Shell
Restrictions to use:
None
Computer skills:
Basic
Stability:
Stable

antiSMASH support

Additional information

http://docs.antismash.secondarymetabolites.org/

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Credits

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Publications

Institution(s)

Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark; Leibniz Institute for Natural Product Research and Infection Biology––Hans-Knoll-Institute, Jena, Germany; Laboratory of Genetics, University of Wisconsin––Madison, Madison, WI, USA; Bioinformatics Group, Wageningen University, Wageningen, Netherlands; Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Warwick Integrative Synthetic Biology Centre, University of Warwick, Coventry, UK; Department of Chemical and Biomolecular Engineering & BioInformatics Research Center, Korea Advanced Institute of Science and Technology, Daejeon, South Korea; Faculty of Sciences, University of Lisbon, Lisbon, Portugal; Kekule-Institute of Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Manchester Synthetic Biology Research Centre (SYNBIOCHEM), Manchester Institute of Biotechnology, University of Manchester, Manchester, UK

Funding source(s)

Supported by Novo Nordisk Foundation; The Netherlands Organization for Scientific Research (NWO) VENI Grant [863.15.002]; Graduate School for Experimental Plant Sciences (EPS); Ministry of Science, ICT and Future Planning through the National Research Foundation (NRF) of Korea [NRF- 2012M1A2A2026556]; International Leibniz Research School for Microbial and Molecular Interactions (ILRS), as part of the excellence graduate school Jena School for Microbial Communication (JSMC), supported by the Deutsche Forschungsgemeinschaft (DFG); Collaborative Research Centre ChemBioSys (CRC 1127 ChemBioSys), by the DFG; NIH National Research Service Award [T32 GM008505]; David and Lucile Packard Fellowship for Science and Engineering; Department of Chemistry at the University of Illinois at Urbana–Champaign Fellowship; NIH Chemical Biology Interface Training Program Fellowship [T32 GM070421]; Google Summer of Code grant; Warwick Integrative Synthetic Biology Centre (WISB), and Manchester Synthetic Biology Research Centre (SYNBIOCHEM) funded under the UK Research Councils’ ’Synthetic Biology for Growth’ programme [BB/M017982/1 (WISB), BB/M017702/1 (SYNBIOCHEM)].

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Fast, accurate, versatile, quite precise! Best platform for BGCs prediction.

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