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Legume Genomics

Overview of attention for book
Cover of 'Legume Genomics'

Table of Contents

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    Book Overview
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    Chapter 1 The Model Legume Genomes
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    Chapter 2 Fluorescent In Situ Hybridization (FISH) on Pachytene Chromosomes as a Tool for Genome Characterization
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    Chapter 3 Targeted Mutagenesis for Functional Analysis of Gene Duplication in Legumes
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    Chapter 4 RNA-Seq for Transcriptome Analysis in Non-model Plants.
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    Chapter 5 Functional analysis of legume genome arrays.
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    Chapter 6 Genome-Wide Identification of MicroRNAs in Medicago truncatula by High-Throughput Sequencing
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    Chapter 7 Determining Abundance of MicroRNAs and Other Small RNAs in Legumes
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    Chapter 8 Forward Genetics Screening of Medicago truncatula Tnt1 Insertion Lines.
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    Chapter 9 Reverse Genetics in Medicago truncatula Using a TILLING Mutant Collection
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    Chapter 10 High-Throughput and Targeted Genotyping of Lotus japonicus LORE1 Insertion Mutants
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    Chapter 11 Legume Genomics
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    Chapter 12 Gene Silencing in Medicago truncatula Roots Using RNAi.
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    Chapter 13 Molecular Markers for Genetics and Plant Breeding: The MFLP Marker System and Its Application in Narrow-Leafed Lupin ( Lupinus angustifolius )
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    Chapter 14 Stable Transformation of Medicago truncatula cv. Jemalong for Gene Analysis Using Agrobacterium tumefaciens
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    Chapter 15 Legume Genomics
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    Chapter 16 Subcellular Localization of Transiently Expressed Fluorescent Fusion Proteins
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    Chapter 17 Proteomics and the Analysis of Nodulation
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    Chapter 18 Phosphoproteomic Analysis of Peptides
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    Chapter 19 Plant Metabolomics: From Experimental Design to Knowledge Extraction
Attention for Chapter 5: Functional analysis of legume genome arrays.
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Chapter title
Functional analysis of legume genome arrays.
Chapter number 5
Book title
Legume Genomics
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-613-9_5
Pubmed ID
23996308
Book ISBNs
978-1-62703-612-2, 978-1-62703-613-9
Authors

Nicolas Goffard, Georg Weiller, Goffard, Nicolas, Weiller, Georg

Abstract

Functional analysis of post-genomics data is essential to identify the biological processes involved in a given investigation. Although most of the ontological tools available are limited to organisms with well-annotated genomes, this chapter provides an overview of two complementary tools-MapMan and GeneBins/PathExpress-that are used to perform a functional analysis of legume gene expression data. MapMan is a stand-alone tool that displays large datasets onto diagrams of metabolic pathways or other processes. Although initially developed for Arabidopsis thaliana, MapMan can be extended to other plants by assigning new sequences to their orthologs in the current classification. GeneBins and PathExpress have been developed to perform enrichment analysis of functional groups and metabolic networks, respectively. Based on the KEGG database, these tools can be used with any organism, including the main reference legumes.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Student > Ph. D. Student 2 25%
Student > Bachelor 1 13%
Student > Master 1 13%
Professor > Associate Professor 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 50%
Environmental Science 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Medicine and Dentistry 1 13%
Unknown 1 13%
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 03 September 2013.
All research outputs
#15,278,165
of 22,719,618 outputs
Outputs from Methods in molecular biology
#5,307
of 13,083 outputs
Outputs of similar age
#181,551
of 280,759 outputs
Outputs of similar age from Methods in molecular biology
#174
of 341 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,083 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,759 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 341 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.

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