Cargando…
Microbial Forensics: Predicting Phenotypic Characteristics and Environmental Conditions from Large-Scale Gene Expression Profiles
A tantalizing question in cellular physiology is whether the cellular state and environmental conditions can be inferred by the expression signature of an organism. To investigate this relationship, we created an extensive normalized gene expression compendium for the bacterium Escherichia coli that...
Autores principales: | Kim, Minseung, Zorraquino, Violeta, Tagkopoulos, Ilias |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4361189/ https://www.ncbi.nlm.nih.gov/pubmed/25774498 http://dx.doi.org/10.1371/journal.pcbi.1004127 |
Ejemplares similares
-
Multi-omics integration accurately predicts cellular state in unexplored conditions for Escherichia coli
por: Kim, Minseung, et al.
Publicado: (2016) -
Predicting the evolution of Escherichia coli by a data-driven approach
por: Wang, Xiaokang, et al.
Publicado: (2018) -
Correction: Microbial Forensics: Predicting Phenotypic Characteristics and Environmental Conditions from Large-Scale Gene Expression Profiles
Publicado: (2015) -
DeepPep: Deep proteome inference from peptide profiles
por: Kim, Minseung, et al.
Publicado: (2017) -
Understanding the Formation and Mechanism of Anticipatory Responses in Escherichia coli
por: Rai, Navneet, et al.
Publicado: (2022)