Notice

The database server is currently not answering requests properly. Some pages are still available due to caching. We are investigating the situation and will keep you updated.

A computational framework to explore large-scale biosynthetic diversity

Journal: Nature Chemical Biology

Published: 2019-11-25

DOI: 10.1038/s41589-019-0400-9

Affiliations: 13

Authors: 20

Go to article
Institutions Share
Department of Chemistry, NU, United States of America (USA) 0.30
Bioinformatics Group, WUR, Netherlands 0.28
National Laboratory of Genomics for Biodiversity (LANGEBIO), Mexico 0.15
Warwick Integrative Synthetic Biology Centre (WISB), United Kingdom (UK) 0.05
Carl R. Woese Institute for Genomic Biology (IGB), UIUC, United States of America (USA) 0.04
Department of Microbiology, UIUC, United States of America (USA) 0.04
Westerdijk Fungal Biodiversity Institute, KNAW, Netherlands 0.03
Novartis Institutes for Biomedical Research (NIBR), United States of America (USA) 0.03
Sanofi US, United States of America (USA) 0.03
Microbial Genomics and Bioinformatics Research Group, Max Planck Institute for Marine Microbiology, Germany 0.02
Lundbeck Foundation GeoGenetics Centre, Denmark 0.02
Cluster of Excellence - Center for Marine Environmental Sciences (MARUM), Uni Bremen, Germany 0.02
Department of Chemistry, Purdue University, United States of America (USA) 0.02

Return

Except where otherwise noted © 2020 Springer Nature Limited. All Rights Reserved.
partner of AGORA, HINARI, OARE, INASP, ORCID, CrossRef and COUNTER