S
Simon Shaw
Researcher at Technical University of Denmark
Publications - 8
Citations - 3695
Simon Shaw is an academic researcher from Technical University of Denmark. The author has contributed to research in topics: Gene cluster & Cas9. The author has an hindex of 7, co-authored 7 publications receiving 1724 citations.
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Journal ArticleDOI
antiSMASH 5.0: updates to the secondary metabolite genome mining pipeline
Kai Blin,Simon Shaw,Katharina Steinke,Rasmus Villebro,Nadine Ziemert,Sang Yup Lee,Sang Yup Lee,Marnix H. Medema,Tilmann Weber +8 more
TL;DR: AntiSMASH 5 adds detection rules for clusters encoding the biosynthesis of acyl-amino acids, β-lactones, fungal RiPPs, RaS-Ri PPs, polybrominated diphenyl ethers, C-nucleosides, PPY-like ketones and lipolanthines and provides more detailed predictions for type II polyketide synthase-encoding gene clusters.
Journal ArticleDOI
antiSMASH 6.0: improving cluster detection and comparison capabilities.
Kai Blin,Simon Shaw,Alexander M. Kloosterman,Zach Charlop-Powers,Gilles P. van Wezel,Marnix H. Medema,Marnix H. Medema,Tilmann Weber +7 more
TL;DR: antiSMASH as mentioned in this paper is the most widely used tool for detecting and characterising biosynthetic gene clusters (BGCs) in bacteria and fungi, and it is updated version 6 of antiSMASH.
Journal ArticleDOI
MIBiG 2.0: a repository for biosynthetic gene clusters of known function.
Satria A. Kautsar,Kai Blin,Simon Shaw,Jorge C. Navarro-Muñoz,Barbara R. Terlouw,Justin J. J. van der Hooft,Jeffrey A. van Santen,Vittorio Tracanna,Hernando G. Suarez Duran,Victòria Pascal Andreu,Nelly Selem-Mojica,Mohammad Alanjary,Serina L. Robinson,George Lund,Samuel C. Epstein,Ashley C. Sisto,Louise K. Charkoudian,Jérôme Collemare,Roger G. Linington,Tilmann Weber,Marnix H. Medema +20 more
TL;DR: MIBiG 2.0 is presented, which encompasses major updates to the schema, the data, and the online repository itself, and improves the user experience by adding new features such as query searches and a statistics page, and enabled direct link-outs to chemical structure databases.
Journal ArticleDOI
BiG-FAM : the biosynthetic gene cluster families database
TL;DR: BiG-FAM is presented, a database of 29,955 GCFs capturing the global diversity of 1,225,071 BGCs predicted from 209,206 publicly available microbial genomes and metagenome-assembled genomes (MAGs).
Journal ArticleDOI
The antiSMASH database version 3 : increased taxonomic coverage and new query features for modular enzymes
TL;DR: The antiSMASH database as discussed by the authors provides a means to access and query precomputed anti-SMASH-5.2-detected biosynthetic gene clusters from representative, publicly available, high-quality microbial genomes via an interactive graphical user interface.