Plant Gene Regulatory Networks : Methods and Protocols /
| Autor Corporativo: | |
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| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Humana,
2017.
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| Edición: | 1st ed. 2017. |
| Colección: | Methods in Molecular Biology,
1629 |
| Materias: |
Tabla de Contenidos:
- From Genes to Networks: Characterizing Gene-Regulatory Interactions in Plants
- Inducible Promoter Systems for Gene Perturbation Experiments in Arabidopsis
- Cell Type-Specific Gene Expression Profiling Using Fluorescence-Activated Nuclear Sorting
- Characterization of Cell Type-Specific DNA Binding Sites of Plant Transcription Factors using Chromatin Immunoprecipitation
- Yeast One and Two Hybrid High-Throughput Screenings using Arrayed Libraries
- SELEX-Seq: A Method to Determine DNA-Binding Specificities of Plant Transcription Factors
- Analysis of a Plant Transcriptional Regulatory Network using Transient Expression Systems
- Analysis of In Vivo Chromatin and Protein Interactions of Arabidopsis Transcript Elongation Factors
- Characterization of Mediator Complex and its Associated Proteins from Rice
- DNase I SIM: A Simplified In-Nucleus Method for DNase I Hypersensitive Site Sequencing
- In Situ Hi-C Library Preparation for Plants to Study their Three-Dimensional Chromatin Interactions on a Genome-Wide Scale
- Multiplexed Transcriptional Activation or Repression in Plants using CRISPR-dCas9 Based Systems
- Generation of dTALEs and Libraries of Synthetic TALE-Activated Promoters for Engineering of Gene Regulatory Networks in Plants
- Design of Knowledge Bases for Plant Gene Regulatory Networks
- AraNet: A Network Biology Server for Arabidopsis thaliana and Other Non-Model Plant Species
- Integration of Genome-Wide TF Binding and Gene Expression Data to Characterize Gene Regulatory Networks in Plant Development
- Predicting Transcription Factor-Binding Sites and their Cognate Transcription Factors using Gene Expression Data
- Computational Approaches to Study Gene Regulatory Networks
- Boolean Dynamic Modeling Approaches to Study Plant Gene Regulatory Networks: Integration, Validation and Prediction
- ODE-Based Modeling of Complex Regulatory Circuits
- Inferring Gene Regulatory Networks in the Arabidopsis Root using a Dynamic Bayesian Network Approach.