• Nenhum resultado encontrado

Toward a systems-level understanding of gene regulatory, protein interaction, and metabolic networks in cyanobacteria

N/A
N/A
Protected

Academic year: 2021

Share "Toward a systems-level understanding of gene regulatory, protein interaction, and metabolic networks in cyanobacteria"

Copied!
18
0
0

Texto

Loading

Imagem

FIGURE 1 | Overview of the workflow from different “omic”
Table 1 | Publically available full genome sequences for cyanobacteria in various repositories as at April 2014.
FIGURE 3 | Correlation network for functional categories (as defined by Falkowski, 2012) based on the expression of “core” genes in
FIGURE 4 | Pie chart showing records of expression data for different cyanobacteria that are currently available in the Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/geo/).
+3

Referências

Documentos relacionados

Detection of seven major evolutionary lineages in cyanobacteria based on the 16S rRNA gene sequence analysis with new sequences of five marine Synechococcus

The iterative methods: Jacobi, Gauss-Seidel and SOR methods were incorporated into the acceleration scheme (Chebyshev extrapolation, Residual smoothing, Accelerated

A sustentabilidade está se enraizando na moda devido as mudanças no comportamento e nos hábitos dos consumidores e por esse motivo efetivamente percebemos profundas

In this study, we presented queuing system at the banking hall of Ghana Commercial Bank, Kumasi Main Branch as Multiple-Channel queuing model with Poisson

Results: Microarray based gene expression data and protein-protein interaction (PPI) databases were combined to construct the PPI networks of differentially expressed (DE) genes in

social assistance. The protection of jobs within some enterprises, cooperatives, forms of economical associations, constitute an efficient social policy, totally different from

Abstract: As in ancient architecture of Greece and Rome there was an interconnection between picturesque and monumental forms of arts, in antique period in the architecture

Quantitative modeling was used to explain the expression status of genes in a GRN as either up or down expressed based on the core regulators (TFs and miRNAs) that target them in