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Transcription Factor Regulatory Networks

Overview of attention for book
Cover of 'Transcription Factor Regulatory Networks'

Table of Contents

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    Book Overview
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    Chapter 1 The TARGET System: Rapid Identification of Direct Targets of Transcription Factors by Gene Regulation in Plant Cells
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    Chapter 2 The Method of Screening and Identification of Transcription Factor in Klebsiella
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    Chapter 3 Genome-Wide Identification of Open Chromatin in Plants Using MH-Seq
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    Chapter 4 Post-bisulfite Adaptor Tagging with a Highly Efficient Single-Stranded DNA Ligation Technique
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    Chapter 5 Perturbation of Gene Regulation by Genome Editing
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    Chapter 6 Analysis of Neutrophil Morphology and Function Under Genetic Perturbation of Transcription Factors In Vitro
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    Chapter 7 Detection of TP53 Mutation in Acute Myeloid Leukemia by RT-PCR-Based Sanger Sequencing
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    Chapter 8 Assessing the Activity of Transcription Factor FoxO1
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    Chapter 9 Targeting Transcription Factors in Cancer: From “Undruggable” to “Druggable”
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    Chapter 10 A Survey of Transcription Factors in Cell Fate Control
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    Chapter 11 Single-Cell mRNA-Seq of In Vitro-Derived Human Neurons Using Smart-Seq2
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    Chapter 12 Computational Analysis of Single-Cell RNA-Seq Data
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    Chapter 13 Database for Plant Transcription Factor Binding Sites
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    Chapter 14 MicroRNA Regulatory Network Analysis Using miRNet 2.0
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    Chapter 15 Modeling Plant Transcription Factor Networks Using ConSReg
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    Chapter 16 Identification of Plant Co-regulatory Modules Using CoReg
Attention for Chapter 7: Detection of TP53 Mutation in Acute Myeloid Leukemia by RT-PCR-Based Sanger Sequencing
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Chapter title
Detection of TP53 Mutation in Acute Myeloid Leukemia by RT-PCR-Based Sanger Sequencing
Chapter number 7
Book title
Transcription Factor Regulatory Networks
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-2815-7_7
Pubmed ID
36264490
Book ISBNs
978-1-07-162814-0, 978-1-07-162815-7
Authors

Novak, Emily R., Deshpande, Anagha, Finlay, Darren, Mason, James R., Deshpande, Aniruddha J., Adams, Peter D., Li, Sha

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 Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 October 2022.
All research outputs
#20,056,193
of 24,652,007 outputs
Outputs from Methods in molecular biology
#8,660
of 13,867 outputs
Outputs of similar age
#336,202
of 460,512 outputs
Outputs of similar age from Methods in molecular biology
#515
of 718 outputs
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