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Joachim Selbig

Joachim Selbig

D-Index & Metrics

Biology and Biochemistry

D-Index
63
Citations
20180
World Ranking
10021
National Ranking
725

Overview

Joachim Selbig is affiliated with the Max Planck Society in Germany, an institution known for its research contributions across multiple scientific disciplines.

While detailed information on their recent papers, co-authors, and publication venues is not available, the researcher's association with the Max Planck Society suggests engagement with advanced scientific investigations.

No specific data on main or subfields of study, topics of work, or book publications are currently provided, which limits a detailed description of their research domains.

There is no information on awards or recognitions granted to this scientist so far. Available records indicate that Joachim Selbig is currently active in their professional capacity.

Best Publications

  • MAPMAN: a user-driven tool to display genomics data sets onto diagrams of metabolic pathways and other biological processes

    Oliver Thimm;Oliver Bläsing;Yves Gibon;Axel Nagel

  • pcaMethods—a bioconductor package providing PCA methods for incomplete data

    Wolfram Stacklies;Henning Redestig;Matthias Scholz;Dirk Walther

  • The mutual information: detecting and evaluating dependencies between variables.

    Ralph E. Steuer;Jürgen Kurths;Carsten O. Daub;Janko Weise

  • A Robot-Based Platform to Measure Multiple Enzyme Activities in Arabidopsis Using a Set of Cycling Assays: Comparison of Changes of Enzyme Activities and Transcript Levels during Diurnal Cycles and in Prolonged Darkness

    Yves Gibon;Oliver E. Blaesing;Jan Hannemann;Petronia Carillo

  • Extension of the Visualization Tool MapMan to Allow Statistical Analysis of Arrays, Display of Coresponding Genes, and Comparison with Known Responses

    Björn Usadel;Axel Nagel;Oliver Thimm;Henning Redestig

  • Metabolomics of temperature stress

    Charles Guy;Fatma Kaplan;Joachim Kopka;Joachim Selbig

  • Starch as a major integrator in the regulation of plant growth.

    Ronan Sulpice;Eva-Theresa Pyl;Hirofumi Ishihara;Sandra Trenkamp

  • Metabolomic and transcriptomic stress response of Escherichia coli

    Szymon Jozefczuk;Sebastian Klie;Gareth S Catchpole;Jedrzej Szymanski

  • The metabolic signature related to high plant growth rate in Arabidopsis thaliana

    Rhonda C. Meyer;Matthias Steinfath;Jan Lisec;Martina Becher

  • PhosPhAt: a database of phosphorylation sites in Arabidopsis thaliana and a plant-specific phosphorylation site predictor

    Joshua L. Heazlewood;Pawel Durek;Jan Hummel;Joachim Selbig

  • Parallel analysis of transcript and metabolic profiles: a new approach in systems biology

    Ewa Urbanczyk‐Wochniak;Alexander Luedemann;Joachim Kopka;Joachim Selbig

  • Estimating mutual information using B-spline functions – an improved similarity measure for analysing gene expression data

    Carsten O Daub;Carsten O Daub;Ralf Steuer;Joachim Selbig;Sebastian Kloska

  • Geno2pheno: estimating phenotypic drug resistance from HIV-1 genotypes

    Niko Beerenwinkel;Martin Däumer;Mark Oette;Klaus Korn

  • Decision tree supported substructure prediction of metabolites from GC-MS profiles

    Jan Hummel;Nadine Strehmel;Joachim Selbig;Dirk Walther

  • Metabolite fingerprinting: detecting biological features by independent component analysis

    M. Scholz;S. Gatzek;A. Sterling;O. Fiehn

  • Structural kinetic modeling of metabolic networks

    Ralf Steuer;Thilo Gross;Joachim Selbig;Bernd Blasius

  • The metabolic response of heterotrophic Arabidopsis cells to oxidative stress

    Charles J. Baxter;Henning Redestig;Nicolas Schauer;Dirk Repsilber

  • Diversity and complexity of HIV-1 drug resistance: a bioinformatics approach to predicting phenotype from genotype

    Niko Beerenwinkel;Barbara Schmidt;Hauke Walter;Rolf Kaiser

  • Identification of metabolic and biomass QTL in Arabidopsis thaliana in a parallel analysis of RIL and IL populations

    Jan Lisec;Rhonda C. Meyer;Matthias Steinfath;Henning Redestig

  • Non-linear PCA: a missing data approach

    Matthias Scholz;Fatma Kaplan;Charles L. Guy;Joachim Kopka

Frequent Co-Authors

Lothar Willmitzer
Lothar Willmitzer Max Planck Society
Rolf Kaiser
Rolf Kaiser University of Cologne
Zoran Nikoloski
Zoran Nikoloski Max Planck Institute of Molecular Plant Physiology
Thomas Lengauer
Thomas Lengauer Max Planck Institute for Informatics
Thomas Altmann
Thomas Altmann Institute of Plant Genetics and Crop Plant Research
Joachim Kopka
Joachim Kopka Max Planck Society
Wolfram Weckwerth
Wolfram Weckwerth University of Vienna
Alisdair R. Fernie
Alisdair R. Fernie Max Planck Institute of Molecular Plant Physiology
Rhonda C. Meyer
Rhonda C. Meyer Leibniz Association

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Best Scientists Citing Joachim Selbig