The confluence of big data and evolutionary genome mining for the discovery of natural products-Reference-Cited by-同舟云学术

The confluence of big data and evolutionary genome mining for the discovery of natural products

Published:2021 Issue:11 Volume:38 Page:2024-2040
ISSN:0265-0568
Container-title:Natural Product Reports
language:en
Short-container-title:Nat. Prod. Rep.

Author:

Chevrette Marc G.¹^ORCID,Gavrilidou Athina²³^ORCID,Mantri Shrikant²³⁴^ORCID,Selem-Mojica Nelly⁵^ORCID,Ziemert Nadine²³^ORCID,Barona-Gómez Francisco⁵^ORCID

Affiliation:

1. Wisconsin Institute for Discovery, Department of Plant Pathology, University of Wisconsin-Madison, Madison, WI, USA

2. Interfaculty Institute of Microbiology and Infection Medicine Tübingen (IMIT), Interfaculty Institute for Biomedical Informatics (IBMI), University of Tübingen, Germany

3. German Centre for Infection Research (DZIF), Partner Site Tübingen, Germany

4. Computational Biology Laboratory, National Agri-Food Biotechnology Institute (NABI), Mohali, Punjab, India

5. Laboratorio de Evolución de la Diversidad Metabólica, Unidad de Genómica Avanzada (Langebio), Cinvestav-IPN, Irapuato, Guanajuato, Mexico

Abstract

The development and application of evolutionary genome mining tools and databases has propelled natural products research into the modern age of Big Data.

Funder

Deutsche Forschungsgemeinschaft

Consejo Nacional de Ciencia y Tecnología

National Institute of Food and Agriculture

Deutsches Zentrum für Infektionsforschung

Newton Fund

Publisher

Royal Society of Chemistry (RSC)

Subject

Organic Chemistry,Drug Discovery,Biochemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/NP/D1NP00013F