Bacterial Molecular Networks : Methods and Protocols /
Autor Corporativo: | |
---|---|
Otros Autores: | , , |
Formato: | eBook |
Lenguaje: | English |
Publicado: |
Totowa, NJ :
Humana Press : Imprint: Humana,
2012.
|
Edición: | 1st ed. 2012. |
Colección: | Methods in Molecular Biology,
804 |
Materias: |
Tabla de Contenidos:
- Bacterial Molecular Networks: Bridging the Gap Between Functional Genomics and Dynamical Modeling
- Bacterial Interactomes: From Interactions to Networks
- From Bacterial to Microbial Ecosystems (Metagenomics)
- Prokaryote Genome Fluidity: Towards a System Approach of the Mobilome
- Reticulate Classification of Mosaic Microbial Genomes using NeAT Website
- From Metabolic Reactions to Networks and Pathways
- Predicting Metabolic Pathways by Subnetwork Extraction
- Directed Module Detection in a Large-scale Expression Compendium
- Using Phylogenetic Profiles to Predict Functional Relationships
- Extracting Regulatory Networks of Escherichia coli from RegulonDB
- Browsing Metabolic and Regulatory Networks with BioCyc
- Algorithms for Systematic Identification of Small Sub-graphs
- The Degree Distribution of Networks: Statistical Model Selection
- MAVisto: A Tool for Biological Network Motif Analysis
- Using MCL to Extract Clusters from Networks
- Protein Complex Prediction with RNSC (Method)
- Network Analysis and Protein Function Prediction with the PRODISTIN Web Site
- Using the NeAT Toolbox to Compare Networks to Networks, Clusters to Clusters, and Networks to Clusters
- Analyzing Biological Data Using R: Methods for Graphs and Networks
- Detecting Structural Invariants in Biological Reaction Networks
- Petri nets in Snoopy: A Unifying Framework for the Graphical Display, Computational Modelling, and Simulation of Bacterial Regulatory Networks
- Genetic Network Analyzer: A Tool for the Qualitative Modeling and Simulation of Bacterial Regulatory Networks
- Logical Modelling of Gene Regulatory Networks with GINsim
- Modelling the Evolution of Mutualistic Symbioses
- Modelling the Onset of Virulence in Pathogenic Bacteria
- Spatial Stochastic Cellular Modeling with the Smoldyn Simulator.