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Gene Function Analysis

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Cover of 'Gene Function Analysis'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 The Present State and Future Direction of Integrated Gene Function Analysis
  3. Altmetric Badge
    Chapter 2 Performing Integrative Functional Genomics Analysis in GeneWeaver.org
  4. Altmetric Badge
    Chapter 3 Functional Annotation of Differentially Regulated Gene Set Using WebGestalt: A Gene Set Predictive of Response to Ipilimumab in Tumor Biopsies.
  5. Altmetric Badge
    Chapter 4 Integrative Data-Mining Tools to Link Gene and Function
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    Chapter 5 Detection of Driver Protein Complexes in Breast Cancer Metastasis by Large-Scale Transcriptome–Interactome Integration
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    Chapter 6 Pattern Identification in Time-Course Gene Expression Data with the CoGAPS Matrix Factorization.
  8. Altmetric Badge
    Chapter 7 Statistical Tools and R Software for Cancer Driver Probabilities
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    Chapter 8 Predicting the functional consequences of somatic missense mutations found in tumors.
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    Chapter 9 Determining the effect of DNA methylation on gene expression in cancer cells.
  11. Altmetric Badge
    Chapter 10 Reverse Engineering Transcriptional Gene Networks
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    Chapter 11 Integrating in silico resources to map a signaling network.
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    Chapter 12 A method for inducible gene over-expression and down-regulation in emerging model species using pogostick.
  14. Altmetric Badge
    Chapter 13 Construction and application of site-specific artificial nucleases for targeted gene editing.
  15. Altmetric Badge
    Chapter 14 Selection of Recombinant Antibodies from Antibody Gene Libraries
  16. Altmetric Badge
    Chapter 15 Construction of Simple and Efficient siRNA Validation Systems for Screening and Identification of Effective RNAi-Targeted Sequences from Mammalian Genes
  17. Altmetric Badge
    Chapter 16 Rapid Genetic Modification of Mouse Embryonic Stem Cells by Inducible Cassette Exchange Recombination
  18. Altmetric Badge
    Chapter 17 In Ovo Electroporation of miRNA-Based-Plasmids to Investigate Gene Function in the Developing Neural Tube
  19. Altmetric Badge
    Chapter 18 Proteomic Strategies: SILAC and 2D-DIGE—Powerful Tool to Investigate Cellular Alterations
  20. Altmetric Badge
    Chapter 19 Conditional gene-trap mutagenesis in zebrafish.
Attention for Chapter 19: Conditional gene-trap mutagenesis in zebrafish.
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Chapter title
Conditional gene-trap mutagenesis in zebrafish.
Chapter number 19
Book title
Gene Function Analysis
Published in
Methods in molecular biology, November 2013
DOI 10.1007/978-1-62703-721-1_19
Pubmed ID
Book ISBNs
978-1-62703-720-4, 978-1-62703-721-1
Authors

Maddison LA, Li M, Chen W, Lisette A. Maddison, Mingyu Li, Wenbiao Chen, Maddison, Lisette A., Li, Mingyu, Chen, Wenbiao

Abstract

Zebrafish has become a widely used model for analysis of gene function. Several methods have been used to create mutations in this organism and thousands of mutant lines are available. However, all the conventional zebrafish mutations affect the gene in all cells at all time, making it difficult to determine tissue-specific functions. We have adopted a FlEx Trap approach to generate conditional mutations in zebrafish by gene-trap mutagenesis. Combined with appropriate Cre or Flp lines, the insertional mutants not only allow spatial- and temporal-specific gene inactivation but also permit spatial- and temporal-specific rescue of the disrupted gene. We provide experimental details on how to generate and use such mutations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 5%
Brazil 1 5%
Unknown 17 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Bachelor 4 21%
Professor > Associate Professor 3 16%
Researcher 2 11%
Other 1 5%
Other 1 5%
Unknown 4 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 26%
Agricultural and Biological Sciences 5 26%
Engineering 2 11%
Computer Science 1 5%
Chemistry 1 5%
Other 1 5%
Unknown 4 21%
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 26 June 2014.
All research outputs
#20,231,820
of 22,757,541 outputs
Outputs from Methods in molecular biology
#9,864
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Outputs of similar age
#262,762
of 302,081 outputs
Outputs of similar age from Methods in molecular biology
#395
of 573 outputs
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