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Jürgen Zanghellini

Showing results (1-10 of 67) with videos related to

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BMC Systems Biology|August 18, 2012
Designing optimal cell factories: integer programming couples elementary mode analysis with regulationChristian Jungreuthmayer, Jürgen Zanghellini
BMC Bioinformatics|November 11, 2021
EFMlrs: a Python package for elementary flux mode enumeration via lexicographic reverse searchBianca A Buchner, Jürgen Zanghellini
BMC Bioinformatics|February 2, 2017
Optimal knockout strategies in genome-scale metabolic networks using particle swarm optimizationGovind Nair, Christian Jungreuthmayer, Jürgen Zanghellini
Communications Biology|February 17, 2024
Costs of ribosomal RNA stabilization affect ribosome composition at maximum growth rateDiana Széliová, Stefan Müller, Jürgen Zanghellini
Plos Computational Biology|February 1, 2022
Elementary vectors and autocatalytic sets for resource allocation in next-generation models of cellular growthStefan Müller, Diana Széliová, Jürgen Zanghellini
Communications Biology|April 11, 2024
Publisher Correction: Costs of ribosomal RNA stabilization affect ribosome composition at maximum growth rateDiana Széliová, Stefan Müller, Jürgen Zanghellini
New Biotechnology|April 29, 2015
Predicting genetic engineering targets with Elementary Flux Mode Analysis: a review of four current methodsDavid E Ruckerbauer, Christian Jungreuthmayer, Jürgen Zanghellini
Plos One|March 27, 2014
Design of optimally constructed metabolic networks of minimal functionalityDavid E Ruckerbauer, Christian Jungreuthmayer, Jürgen Zanghellini
Bio Systems|May 14, 2013
regEfmtool: speeding up elementary flux mode calculation using transcriptional regulatory rules in the form of three-state logicChristian Jungreuthmayer, David E Ruckerbauer, Jürgen Zanghellini
Bioinformatics (Oxford, England)|February 22, 2015
tEFMA: computing thermodynamically feasible elementary flux modes in metabolic networksMatthias P Gerstl, Christian Jungreuthmayer, Jürgen Zanghellini
Pageof 7

Showing results (1-10 of 67) with videos related to

Sort By:
Pageof 7
BMC Systems Biology|August 18, 2012
Designing optimal cell factories: integer programming couples elementary mode analysis with regulationChristian Jungreuthmayer, Jürgen Zanghellini
BMC Bioinformatics|November 11, 2021
EFMlrs: a Python package for elementary flux mode enumeration via lexicographic reverse searchBianca A Buchner, Jürgen Zanghellini
BMC Bioinformatics|February 2, 2017
Optimal knockout strategies in genome-scale metabolic networks using particle swarm optimizationGovind Nair, Christian Jungreuthmayer, Jürgen Zanghellini
Communications Biology|February 17, 2024
Costs of ribosomal RNA stabilization affect ribosome composition at maximum growth rateDiana Széliová, Stefan Müller, Jürgen Zanghellini
Plos Computational Biology|February 1, 2022
Elementary vectors and autocatalytic sets for resource allocation in next-generation models of cellular growthStefan Müller, Diana Széliová, Jürgen Zanghellini
Communications Biology|April 11, 2024
Publisher Correction: Costs of ribosomal RNA stabilization affect ribosome composition at maximum growth rateDiana Széliová, Stefan Müller, Jürgen Zanghellini
New Biotechnology|April 29, 2015
Predicting genetic engineering targets with Elementary Flux Mode Analysis: a review of four current methodsDavid E Ruckerbauer, Christian Jungreuthmayer, Jürgen Zanghellini
Plos One|March 27, 2014
Design of optimally constructed metabolic networks of minimal functionalityDavid E Ruckerbauer, Christian Jungreuthmayer, Jürgen Zanghellini
Bio Systems|May 14, 2013
regEfmtool: speeding up elementary flux mode calculation using transcriptional regulatory rules in the form of three-state logicChristian Jungreuthmayer, David E Ruckerbauer, Jürgen Zanghellini
Bioinformatics (Oxford, England)|February 22, 2015
tEFMA: computing thermodynamically feasible elementary flux modes in metabolic networksMatthias P Gerstl, Christian Jungreuthmayer, Jürgen Zanghellini
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