METACLUSTER—an R package for context-specific expression analysis of metabolic gene clusters
Author:
Affiliation:
1. Department of Plant Biology, Carnegie Institution for Science, Stanford, CA, USA
2. EducatedGuess.ai, Siegen, Germany
Abstract
Funder
Alexander von Humboldt Foundation
Carnegie Institution for Science
National Science Foundation
Department of Energy
National Institutes of Health
Publisher
Oxford University Press (OUP)
Subject
Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability
Link
http://academic.oup.com/bioinformatics/article-pdf/35/17/3178/29591801/btz021.pdf
Reference20 articles.
1. antiSMASH 4.0–improvements in chemistry prediction and gene cluster boundary identification;Blin;Nucleic Acids Res.,2017
2. Investigation of terpene diversification across multiple sequenced plant genomes;Boutanaev;Proc. Natl. Acad. Sci. USA,2015
3. Genomic signatures of specialized metabolism in plants;Chae;Science,2014
4. From hormones to secondary metabolism: the emergence of metabolic gene clusters in plants;Chu;Plant J.,2011
5. Arabidopsis thaliana calcium-dependent lipid-binding protein (AtCLB): a novel repressor of abiotic stress response;de Silva;J. Exp. Bot.,2011
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