A biocomputational application for the automated construction of large-scale metabolic models from transcriptomic data

Tipo de publicación: Conference Paper

Publicado en: 2016 IEEE 36th Central American and Panama Convention (CONCAPAN XXXVI)

Autores
  • B. V. Edwin
  • S. C. Francisco
  • M. R. RA

Investigadores del CITIC asociados a la publicación
Francisco Siles Canales
Rodrigo Mora Rodríguez

Proyecto asociado a la publicación
Plataforma biocomputacional de análisis de datos genómicos para superar la resistencia a la terapia contra el cáncer y las infecciones microbianas

Palabras claves
  • aldehyde dehydrogenase
  • automated construction
  • biochemistry
  • biocomputational application
  • biocomputing
  • Biological system modeling
  • biology approach
  • biology computing
  • Breast cancer
  • breast cancer cell lines
  • breast cancer stem cells
  • cancer
  • cancer behavior
  • cancer chemoresistance
  • cancer evolution
  • cancer-specific alterations
  • cell death
  • chemotherapy response
  • Computational modeling
  • Data models
  • FBA
  • Flux balance analysis
  • gene expression data
  • general metabolic model
  • glutathione peroxidase
  • glycolysis
  • large-scale metabolic models
  • Mathematical model
  • medical diagnostic computing
  • metabolic models
  • personalized cancer targets
  • therapy resistance
  • transcriptomic data
  • Tumors

DOI BIBTEXT

Datos bibliográficos
Cita bibliográfica
A biocomputational application for the automated construction of large-scale metabolic models from transcriptomic data