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Plant Genomics Databases

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Cover of 'Plant Genomics Databases'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Ensembl Plants: Integrating Tools for Visualizing, Mining, and Analyzing Plant Genomic Data.
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    Chapter 2 PGSB/MIPS PlantsDB Database Framework for the Integration and Analysis of Plant Genome Data.
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    Chapter 3 Plant Genome DataBase Japan (PGDBj).
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    Chapter 4 FLAGdb(++): A Bioinformatic Environment to Study and Compare Plant Genomes.
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    Chapter 5 Mining Plant Genomic and Genetic Data Using the GnpIS Information System.
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    Chapter 6 The Bio-Analytic Resource for Plant Biology.
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    Chapter 7 The Evolution of Soybean Knowledge Base (SoyKB).
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    Chapter 8 Using TropGeneDB: A Database Containing Data on Molecular Markers, QTLs, Maps, Genotypes, and Phenotypes for Tropical Crops.
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    Chapter 9 Species-Specific Genome Sequence Databases: A Practical Review.
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    Chapter 10 A Guide to the PLAZA 3.0 Plant Comparative Genomic Database.
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    Chapter 11 Exploring Plant Co-Expression and Gene-Gene Interactions with CORNET 3.0.
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    Chapter 12 PlaNet: Comparative Co-Expression Network Analyses for Plants.
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    Chapter 13 Practical Utilization of OryzaExpress and Plant Omics Data Center Databases to Explore Gene Expression Networks in Oryza Sativa and Other Plant Species.
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    Chapter 14 Pathway Analysis and Omics Data Visualization Using Pathway Genome Databases: FragariaCyc, a Case Study.
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    Chapter 15 CSGRqtl: A Comparative Quantitative Trait Locus Database for Saccharinae Grasses.
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    Chapter 16 Plant Genome Duplication Database.
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    Chapter 17 Variant Effect Prediction Analysis Using Resources Available at Gramene Database.
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    Chapter 18 Plant Promoter Database (PPDB).
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    Chapter 19 Construction of the Leaf Senescence Database and Functional Assessment of Senescence-Associated Genes.
Attention for Chapter 11: Exploring Plant Co-Expression and Gene-Gene Interactions with CORNET 3.0.
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Chapter title
Exploring Plant Co-Expression and Gene-Gene Interactions with CORNET 3.0.
Chapter number 11
Book title
Plant Genomics Databases
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6658-5_11
Pubmed ID
Book ISBNs
978-1-4939-6656-1, 978-1-4939-6658-5
Authors

Michiel Van Bel, Frederik Coppens

Editors

Aalt D.J van Dijk

Abstract

Selecting and filtering a reference expression and interaction dataset when studying specific pathways and regulatory interactions can be a very time-consuming and error-prone task. In order to reduce the duplicated efforts required to amass such datasets, we have created the CORNET (CORrelation NETworks) platform which allows for easy access to a wide variety of data types: coexpression data, protein-protein interactions, regulatory interactions, and functional annotations. The CORNET platform outputs its results in either text format or through the Cytoscape framework, which is automatically launched by the CORNET website.CORNET 3.0 is the third iteration of the web platform designed for the user exploration of the coexpression space of plant genomes, with a focus on the model species Arabidopsis thaliana. Here we describe the platform: the tools, data, and best practices when using the platform. We indicate how the platform can be used to infer networks from a set of input genes, such as upregulated genes from an expression experiment. By exploring the network, new target and regulator genes can be discovered, allowing for follow-up experiments and more in-depth study. We also indicate how to avoid common pitfalls when evaluating the networks and how to avoid over interpretation of the results.All CORNET versions are available at http://bioinformatics.psb.ugent.be/cornet/ .

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 29%
Student > Master 4 29%
Unspecified 1 7%
Student > Bachelor 1 7%
Other 1 7%
Other 2 14%
Unknown 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 50%
Biochemistry, Genetics and Molecular Biology 4 29%
Computer Science 1 7%
Unspecified 1 7%
Unknown 1 7%