Comparative genome-scale reconstruction of gapless metabolic networks for present and ancestral species

We introduce a novel computational approach, CoReCo, for comparative metabolic reconstruction and provide genome-scale metabolic network models for 49 important fungal species. Leveraging on the exponential growth in sequenced genome availability, our method reconstructs genome-scale gapless metabol...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	PLoS computational biology 2014-02, Vol.10 (2), p.e1003465-e1003465
Hauptverfasser:	Pitkänen, Esa, Jouhten, Paula, Hou, Jian, Syed, Muhammad Fahad, Blomberg, Peter, Kludas, Jana, Oja, Merja, Holm, Liisa, Penttilä, Merja, Rousu, Juho, Arvas, Mikko
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Biology Biomass Biotechnology Computational Biology Computer Science Evolution, Molecular Experiments Fungi - classification Fungi - genetics Fungi - metabolism Gene Knockout Techniques Genome, Fungal Genomes Genomics Grants Industrial Microbiology Learning strategies Metabolic Networks and Pathways - genetics Metabolites Models, Biological Models, Genetic Models, Statistical Phylogenetics Phylogeny Saccharomyces cerevisiae - genetics Saccharomyces cerevisiae - growth & development Saccharomyces cerevisiae - metabolism Species Specificity Yeast
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!