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A computational framework for systematic exploration of biosynthetic diversity from large-scale genomic data
Jorge Navarro-Muñoz, 1 Nelly Selem-Mojica, 2 Michael Mullowney, 3 Satria Kautsar, 4 James Tryon, 3 Elizabeth Parkinson, 5 Emmanuel De Los Santos, 6 Marley Yeong, 4 Pablo Cruz-Morales, 2 Sahar Abubucker, 7 Arne Roeters, 4 Wouter Lokhorst, 4 Antonio Fernandez-Guerra, 8 Luciana Teresa Dias Cappelini, 3 Regan Thomson, 3 William Metcalf, 5 Neil Kelleher, 3 Francisco Barona-Gomez, 2 Marnix H. Medema 4
1  Bioinformatics Group, Wageningen University, The Netherlands; Fungal Natural Products Group, Westerd
2  Evolution of Metabolic Diversity Lab, Unidad de Genómica Avanzada (Langebio), Cinvestav-IPN
3  Department of Chemistry, Northwestern University, Evanston, Illinois, United States.
4  Bioinformatics Group, Wageningen University, The Netherlands.
5  Carl R. Woese Institute for Genomic Biology and Department of Microbiology, University of Illinois
6  Warwick Integrative Synthetic Biology Centre, University of Warwick, Coventry, United Kingdom.
7  Novartis Institutes for BioMedical Research, Cambridge, United States.
8  Microbial Genomics and Bioinformatics, Max Planck Institute for Marine Microbiology, Bremen, Germany

Published: 17 October 2018 by Cold Spring Harbor Laboratory in bioRxiv
Cold Spring Harbor Laboratory, 10.1101/445270
Keywords: gene clusters, computational, biosynthetic gene, BGCs, diversity from large, CORASON, BiG SCAPE
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