Modeling Transcriptional Regulation: Methods and Protocols

Author:   SHAHID MUKHTAR
Publisher:   Springer-Verlag New York Inc.
Edition:   1st ed. 2021
Volume:   2328
ISBN:  

9781071615331


Pages:   307
Publication Date:   13 July 2021
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Modeling Transcriptional Regulation: Methods and Protocols


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Author:   SHAHID MUKHTAR
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   1st ed. 2021
Volume:   2328
Weight:   0.809kg
ISBN:  

9781071615331


ISBN 10:   1071615335
Pages:   307
Publication Date:   13 July 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Co-expression Networks in Predicting Transcriptional Gene Regulation.- Inference of Gene Coexpression Networks from Bulk-based RNA-Sequencing Data.- Genomic Footprinting Analyses from DNase-seq data to Construct Gene Regulatory Networks.- Spatiotemporal Gene Expression Profiling and Network Inference: A Roadmap For Analysis, Visualization, and Key Gene Identification.- Dynamic Modeling of Transcriptional Gene Regulatory Networks- Mathematical Programming for Modelling Expression of a Gene using Gurobi Optimizer to Identify its Transcriptional Regulators.- Multiscale Modeling of Cross-Regulatory Transcript and Protein Influences.- Biological Network Mining.- Identification of Gene Regulatory Networks from Single-Cell Expression Data- Inference of Gene Regulatory Network From Single-Cell Transcriptomic Data using pySCENIC.- Modeling Immune Dynamics in Plants using JIMENA-package.- Dynamic Regulatory Event Mining by iDREM in Large Scale Multi-Omics Datasets during Biotic and Abiotic Stress in Plants.- A semi-in vivo Transcriptional Assay to Dissect Plant Defense Regulatory Modules.- Assessing Global Circadian Rhythm through Single-Time-Point Transcriptomic Analysis.- High-throughput Targeted Transcriptional Profiling of Defense Genes using RNA-mediated oligonucleotide Annealing, Selection, and Ligation with next-generation sequencing in Arabidopsi.- Rapid Validation of Transcriptional Enhancers Using a Transient Reporter Assay.- Computational Identification of ceRNA and Reconstruction of ceRNA Regulatory Network Based on RNA-seq and Small RNA-seq Data in Plants.- In Silico Prediction for ncRNAs in Prokaryotes.- Mathematical Linear Programming to Model MicroRNAs-Mediated Gene Regulation Using Gurobi Optimizer. 

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