A network-based method for predicting gene-nutrient interactions and its application to yeast amino-acid metabolism.

Keywords

Polygon mesh, Computer science, Rendering (computer graphics), Volume mesh, Polyhedron

References

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Cited by

• Cold Adaptation and Mitochondrial Function in S. cerevisiaePhoebe Leeaw — 2010
• Use of genome‐scale metabolic models for understanding microbial physiologyLi Liu, Rasmus Ågren, Sergio Bordel — 2010
• Synechocystis sp. PCC6803 metabolic models for the enhanced production of hydrogenArnau Montagud, D. Gamermann, Pedro Fernández de Córdoba — 2015
• Computational Design of Auxotrophy-Dependent Microbial Biosensors for Combinatorial Metabolic Engineering ExperimentsNaama Tepper, Tomer Shlomi — 2011
• Emerging bioinformatics approaches for analysis of NGS-derived coding and non-coding RNAs in neurodegenerative diseasesAlessandro Guffanti, Alon Simchovitz, Hermona Soreq — 2014
• Fifteen years of large scale metabolic modeling of yeast: developments and impacts.Tobias Österlund, Intawat Nookaew, Jens Nielsen — 2012
• MUFINS: multi-formalism interaction network simulatorHuihai Wu, Axel von Kamp, Vytautas Leoncikas — 2016
• Current awareness on yeast2010
• Scalable parallel volume raycasting for nonrectilinear computational gridsJudith Challinger — 2002
• Hardware Architecture for Voxelization-based Volume Rendering of Unstructured GridsC.E. Prakash, S. Manohar — 1995
• Lipid metabolism and Type VII secretion systems dominate the genome scale virulence profile of Mycobacterium tuberculosis in human dendritic cellsTom A. Mendum, Huihai Wu, Andrzej Kierzek — 2015
• Hypergraph-Partitioning-Based Remapping Models for Image-Space-Parallel Direct Volume Rendering of Unstructured GridsB. Barla Cambazoğlu, Cevdet Aykanat — 2006
• Image-space decomposition algorithms for sort-first parallel volume rendering of unstructured gridsHüseyin Kutluca — 1997
• THESIS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY On metabolic networks and multi-omics integrationRasmus Agren — 2013
• Computational Methods for Metabolic Network Analysis of Metabolite Levels and FluxN. Tepper — 2016

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