Rainer Breitling mainly focuses on Gene, Genetics, Computational biology, Gene cluster and Genome. His work on Genomics, Gene mapping, Quantitative trait locus and Genetic screen is typically connected to Synuclein as part of general Genetics study, connecting several disciplines of science. The Computational biology study combines topics in areas such as Replicate, Identification and Chromatography, Metabolomics, Mass spectrometry.
The concepts of his Gene cluster study are interwoven with issues in Secondary metabolism, Operon, Whole genome sequencing and Mobile genetic elements. His Secondary metabolism research is multidisciplinary, incorporating elements of Synthetic biology and Metagenomics. His Genome research incorporates themes from Plasmid, Secondary metabolite, Polyketide and Streptomyces.
His scientific interests lie mostly in Computational biology, Synthetic biology, Metabolomics, Gene and Biochemistry. As a part of the same scientific family, he mostly works in the field of Computational biology, focusing on Secondary metabolite and, on occasion, Polyketide. His Synthetic biology study integrates concerns from other disciplines, such as Metabolic engineering, Biochemical engineering, Biotechnology, Selection and Pipeline.
His studies in Metabolomics integrate themes in fields like Metabolite and Liquid chromatography–mass spectrometry, Mass spectrometry. To a larger extent, Rainer Breitling studies Genetics with the aim of understanding Gene. His Systems biology research is multidisciplinary, relying on both Data science and Topology.
Synthetic biology, Computational biology, Pipeline, Biochemistry and Streptomyces coelicolor are his primary areas of study. His Synthetic biology study incorporates themes from In silico, Selection, Metabolomics and Spider silk. Rainer Breitling has researched Metabolomics in several fields, including Metabolite, Analyte, Small molecule and Ion-mobility spectrometry.
The study incorporates disciplines such as Heterologous, Gene, Recombinant DNA, Metabolic engineering and Gene regulatory network in addition to Computational biology. Rainer Breitling studies Gene, focusing on Escherichia coli in particular. His work in the fields of Extracellular and Terpene overlaps with other areas such as Terpene synthase activity.
His primary areas of investigation include Synthetic biology, Computational biology, Pipeline, Metabolomics and Biochemical engineering. His study in Synthetic biology is interdisciplinary in nature, drawing from both Chemical space, Selection and Systems engineering. His Computational biology research integrates issues from Gene, Escherichia coli, Nanopore and Streptomyces coelicolor, Streptomyces.
Rainer Breitling performs integrative study on Gene and Software portability in his works. His research integrates issues of Flux and Secondary metabolism in his study of Streptomyces coelicolor. His Metabolomics study combines topics from a wide range of disciplines, such as Biochemistry, Intracellular, Reproducibility, Mass spectrometry and Glutamine.
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antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters
Tilmann Weber;Kai Blin;Srikanth Duddela;Daniel Krug.
Nucleic Acids Research (2015)
Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments ☆
Rainer Breitling;Patrick Armengaud;Anna Amtmann;Pawel Herzyk.
FEBS Letters (2004)
antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences
Marnix H. Medema;Kai Blin;Peter Cimermancic;Victor de Jager;Victor de Jager.
Nucleic Acids Research (2011)
antiSMASH 4.0-improvements in chemistry prediction and gene cluster boundary identification.
Kai Blin;Thomas Wolf;Marc G. Chevrette;Xiaowen Lu.
Nucleic Acids Research (2017)
antiSMASH 2.0—a versatile platform for genome mining of secondary metabolite producers
Kai Blin;Marnix H. Medema;Daniyal Kazempour;Michael A. Fischbach.
Nucleic Acids Research (2013)
RankProd: a bioconductor package for detecting differentially expressed genes in meta-analysis
Fangxin Hong;Rainer Breitling;Connor W. Mcentee;Ben S. Wittner.
Minimum Information about a Biosynthetic Gene cluster.
Marnix H. Medema;Marnix H. Medema;Renzo Kottmann;Pelin Yilmaz;Matthew Cummings.
Nature Chemical Biology (2015)
The Potassium-Dependent Transcriptome of Arabidopsis Reveals a Prominent Role of Jasmonic Acid in Nutrient Signaling
Patrick Armengaud;Rainer Breitling;Anna Amtmann.
Plant Physiology (2004)
Mass appeal: metabolite identification in mass spectrometry-focused untargeted metabolomics
Warwick B Dunn;Alexander Erban;Ralf J M Weber;Darren John Creek;Darren John Creek.
C-elegans model identifies genetic modifiers of alpha-synuclein inclusion formation during aging
Tjakko J. van Ham;Karen L. Thijssen;Rainer Breitling;Robert M. W. Hofstra.
PLOS Genetics (2008)
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