Modeling transcriptional regulation : methods and protocols /
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Imprint: | New York : Humana Press, [2021] ©2021 |
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Description: | 1 online resource (xi, 307 pages) : illustrations (some color) |
Language: | English |
Series: | Methods in molecular biology, 1064-3745 ; [2328] Methods in molecular biology (Clifton, N.J.) ; v. 2328. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12616888 |
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.