Modeling Transcriptional Regulation : Methods and Protocols / edited by SHAHID MUKHTAR.

Format:

Book

Contributor:

Muk̲h̲tār, Shāhid, Editor.

SpringerLink (Online service)

Series:

Springer Protocols (Springer-12345)

Methods in molecular biology 1940-6029 ; 2328

Methods in Molecular Biology, 1940-6029 ; 2328

Language:

English

Subjects (All):

Genetics.

Genetics and Genomics.

Local Subjects:

Genetics and Genomics.

Physical Description:

1 online resource (XI, 307 pages) : 104 illustrations, 59 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

New York, NY : Springer US : Imprint: Humana, 2021.

System Details:

text file PDF

Summary:

This book provides methods and techniques used in construction of global transcriptional regulatory networks in diverse systems, various layers of gene regulation and mathematical as well as computational modeling of transcriptional gene regulation. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Modeling Transcriptional Regulation: Methods and Protocols aims to provide an in depth understanding of new techniques in transcriptional gene regulation for specialized audience.

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. .

Other Format:

Printed edition:

ISBN:

978-1-0716-1534-8

9781071615348

Access Restriction:

Restricted for use by site license.