Memorias de investigación
Artículos en revistas:
MDPbiome: Microbiome Engineering through Prescriptive Perturbations
Año:2018
Áreas de investigación
  • Biomedicina
Datos
Descripción
MDPbiome statistically models longitudinal metagenomics samples undergoing perturbations as a Markov Decision Process (MDP). Given a starting microbial composition, our MDPbiome system suggests the sequence of external perturbation(s) that will engineer that microbiome to a goal state, for example, a healthier or more performant composition. It also estimates intermediate microbiome states along the path, thus making it possible to avoid particularly undesirable/unhealthy states. We demonstrate MDPbiome performance over three real and distinct datasets, proving its flexibility, and the reliability and universality of its output ?optimal perturbation policy?. For example, an MDP created using a vaginal microbiome time series, with a goal of recovering from bacterial vaginosis, suggested avoidance of perturbations such as lubricants or sex toys; while another MDP provided a quantitative explanation for why salmonella vaccine accelerates gut microbiome maturation in chicks. This novel analytical approach has clear applications in medicine, where it could suggest low-impact clinical interventions that will lead to achievement or maintenance of a healthy microbial population, or alternately, the sequence of interventions necessary to avoid strongly negative microbiome states.
Internacional
Si
JCR del ISI
Si
Título de la revista
Bioinformatics
ISSN
1367-4803
Factor de impacto JCR
5,481
Información de impacto
Volumen
DOI
Número de revista
Desde la página
i838
Hasta la página
i847
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: BIOLOGÍA MOLECULAR Y COMPUTACIONAL
  • Centro o Instituto I+D+i: Centro de Biotecnología y Genómica de Plantas, CBGP
  • Departamento: Biotecnología - Biología Vegetal