Cargando…
Meneco, a Topology-Based Gap-Filling Tool Applicable to Degraded Genome-Wide Metabolic Networks
Increasing amounts of sequence data are becoming available for a wide range of non-model organisms. Investigating and modelling the metabolic behaviour of those organisms is highly relevant to understand their biology and ecology. As sequences are often incomplete and poorly annotated, draft network...
Autores principales: | Prigent, Sylvain, Frioux, Clémence, Dittami, Simon M., Thiele, Sven, Larhlimi, Abdelhalim, Collet, Guillaume, Gutknecht, Fabien, Got, Jeanne, Eveillard, Damien, Bourdon, Jérémie, Plewniak, Frédéric, Tonon, Thierry, Siegel, Anne |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5302834/ https://www.ncbi.nlm.nih.gov/pubmed/28129330 http://dx.doi.org/10.1371/journal.pcbi.1005276 |
Ejemplares similares
-
A multi-objective constraint-based approach for modeling genome-scale microbial ecosystems
por: Budinich, Marko, et al.
Publicado: (2017) -
Combining graph and flux-based structures to decipher phenotypic essential metabolites within metabolic networks
por: Laniau, Julie, et al.
Publicado: (2017) -
Integrating Quantitative Knowledge into a Qualitative Gene Regulatory Network
por: Bourdon, Jérémie, et al.
Publicado: (2011) -
Inferring and comparing metabolism across heterogeneous sets of annotated genomes using AuCoMe
por: Belcour, Arnaud, et al.
Publicado: (2023) -
Robustness analysis of metabolic predictions in algal microbial communities based on different annotation pipelines
por: Karimi, Elham, et al.
Publicado: (2021)