Visualizing Bacterial Gene Regulation with an Interactive Computer Program: The Trp Operon

2015 ◽  
Author(s):  
Xiaoli Yang ◽  
Yifan Cai ◽  
Charles Tseng
Keyword(s):  
Gene Regulation ◽  
Computer Program ◽  
Bacterial Gene ◽  
Interactive Computer Program ◽  
Trp Operon

Tejo 1– An Interactive Program for the Division of Estuaries into Homogeneous Areas

1987 ◽  
Vol 19 (9) ◽  
pp. 43-51 ◽  
Author(s):  
A. S. Câmara ◽  
M. Cardoso da Silva ◽  
L. Ramos ◽  
J. Gomes Ferreira
Keyword(s):  
Water Quality ◽  
Computer Program ◽  
Heuristic Algorithm ◽  
Management Model ◽  
Interactive Program ◽  
Basin Management ◽  
Interactive Computer Program ◽  
Lake Basins

The division of an estuary into homogeneous areas from both hydrodynamic and ecological standpoints is essential to any estuarine basin management model. This paper presents an approach based on a heuristic algorithm to achieve such a division. The methodology implemented through an interactive computer program named Tejo 1 applies morphological, water quality and management criteria in order to achieve the disaggregation. The approach is equally applicable to river or lake basins, with only minor adaptations. An application of Tejo 1 to the Tejo estuary is included for illustrative purposes, which resulted in the final division of the estuary into 11 homogeneous areas.

An Interactive Computer Program for Recording and Analysing Longitudinal Cephalometric Growth Material

1987 ◽  
Vol 14 (4) ◽  
pp. 299-304
Author(s):  
S. N. Bhatia
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Computer Program ◽  
Interactive Computer Program ◽  
Logical Sequence ◽  
Growth Profiles

An interactive suite of chained programs is described for recording, measuring, and analysing a large number of longitudinal cephalometric records. The programs are arranged in a logical sequence, and integrated with the hardware, to ensure a smooth and automatic running of the system from data collection to data analysis. The results of the analysis can be presented in suitable numerical and/or graphical forms to show individual as well as mean growth profiles.

scholarly journals In planta bacterial multi-omics analysis illuminates regulatory principles underlying plant-pathogen interactions

2019 ◽  
Author(s):  
Tatsuya Nobori ◽  
Yiming Wang ◽  
Jingni Wu ◽  
Sara Christina Stolze ◽  
Yayoi Tsuda ◽  
...  
Keyword(s):  
Gene Regulation ◽  
Pseudomonas Syringae ◽  
Protein Level ◽  
Plant Pathogens ◽  
Plant Immunity ◽  
Bacterial Pathogen ◽  
Bacterial Virulence ◽  
In Planta ◽  
Bacterial Gene ◽  
Global Food Security

AbstractUnderstanding how gene expression is regulated in plant pathogens is crucial for pest control and thus global food security. An integrated understanding of bacterial gene regulation in the host is dependent on multi-omic datasets, but these are largely lacking. Here, we simultaneously characterized the transcriptome and proteome of a foliar bacterial pathogen, Pseudomonas syringae, in Arabidopsis thaliana and identified a number of bacterial processes influenced by plant immunity at the mRNA and the protein level. We found instances of both concordant and discordant regulation of bacterial mRNAs and proteins. Notably, the tip component of bacterial type III secretion system was selectively suppressed by the plant salicylic acid pathway at the protein level, suggesting protein-level targeting of the bacterial virulence system by plant immunity. Furthermore, gene co-expression analysis illuminated previously unknown gene regulatory modules underlying bacterial virulence and their regulatory hierarchy. Collectively, the integrated in planta bacterial omics approach provides molecular insights into multiple layers of bacterial gene regulation that contribute to bacterial growth in planta and elucidate the role of plant immunity in controlling pathogens.

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