Rainer Breitling
Rainer Breitling
Professor of Systems Biology, Manchester Institute of Biotechnology, University of Manchester
Verified email at - Homepage
Cited by
Cited by
antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences
MH Medema, K Blin, P Cimermancic, V de Jager, P Zakrzewski, ...
Nucleic Acids Research 39 (suppl 2), W339-W346, 2011
antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters
T Weber, K Blin, S Duddela, D Krug, HU Kim, R Bruccoleri, SY Lee, ...
Nucleic acids research 43 (W1), W237-W243, 2015
Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments
R Breitling, P Armengaud, A Amtmann, P Herzyk
FEBS letters 573 (1-3), 83-92, 2004
antiSMASH 4.0—improvements in chemistry prediction and gene cluster boundary identification
K Blin, T Wolf, MG Chevrette, X Lu, CJ Schwalen, SA Kautsar, ...
Nucleic acids research 45 (W1), W36-W41, 2017
antiSMASH 2.0—a versatile platform for genome mining of secondary metabolite producers
K Blin, MH Medema, D Kazempour, MA Fischbach, R Breitling, E Takano, ...
Nucleic acids research 41 (W1), W204-W212, 2013
Minimum information about a biosynthetic gene cluster
MH Medema, R Kottmann, P Yilmaz, M Cummings, JB Biggins, K Blin, ...
Nature chemical biology 11 (9), 625-631, 2015
RankProd: a bioconductor package for detecting differentially expressed genes in meta-analysis
F Hong, R Breitling, CW McEntee, BS Wittner, JL Nemhauser, J Chory
Bioinformatics 22 (22), 2825-2827, 2006
Mass appeal: metabolite identification in mass spectrometry-focused untargeted metabolomics
WB Dunn, A Erban, RJM Weber, DJ Creek, M Brown, R Breitling, ...
Metabolomics 9, 44-66, 2013
The potassium-dependent transcriptome of Arabidopsis reveals a prominent role of jasmonic acid in nutrient signaling
P Armengaud, R Breitling, A Amtmann
Plant physiology 136 (1), 2556-2576, 2004
C. elegans model identifies genetic modifiers of α-synuclein inclusion formation during aging
TJ Van Ham, KL Thijssen, R Breitling, RMW Hofstra, RHA Plasterk, ...
PLoS genetics 4 (3), e1000027, 2008
Toward Global Metabolomics Analysis with Hydrophilic Interaction Liquid Chromatography–Mass Spectrometry: Improved Metabolite Identification by Retention Time Prediction
DJ Creek, A Jankevics, R Breitling, DG Watson, MP Barrett, KEV Burgess
Analytical chemistry 83 (22), 8703-8710, 2011
Regulation of ubiquitin-binding proteins by monoubiquitination
D Hoeller, N Crosetto, B Blagoev, C Raiborg, R Tikkanen, S Wagner, ...
Nature cell biology 8 (2), 163-169, 2006
Detecting sequence homology at the gene cluster level with MultiGeneBlast
MH Medema, E Takano, R Breitling
Molecular biology and evolution 30 (5), 1218-1223, 2013
PeakML/mzMatch: a file format, Java library, R library, and tool-chain for mass spectrometry data analysis
RA Scheltema, A Jankevics, RC Jansen, MA Swertz, R Breitling
Analytical Chemistry-Columbus 83 (7), 2786, 2011
IDEOM: an Excel interface for analysis of LC–MS-based metabolomics data
DJ Creek, A Jankevics, KEV Burgess, R Breitling, MP Barrett
Bioinformatics 28 (7), 1048-1049, 2012
Mapping Determinants of Gene Expression Plasticity by Genetical Genomics in C. elegans
Y Li, OA Alvarez, EW Gutteling, M Tijsterman, J Fu, JAG Riksen, ...
PLoS genetics 2 (12), e222, 2006
GeneRank: Using search engine technology for the analysis of microarray experiments
M Julie, B Rainer, H Desmond, G David
BMC Bioinformatics 6, 2005
A comparison of meta-analysis methods for detecting differentially expressed genes in microarray experiments
F Hong, R Breitling
Bioinformatics 24 (3), 374-382, 2008
System-wide molecular evidence for phenotypic buffering in Arabidopsis
J Fu, JJB Keurentjes, H Bouwmeester, T America, FWA Verstappen, ...
Nature genetics 41 (2), 166-167, 2009
DiffCoEx: a simple and sensitive method to find differentially coexpressed gene modules
BM Tesson, R Breitling, RC Jansen
BMC bioinformatics 11, 1-9, 2010
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