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Plant Systems Biology

Overview of attention for book
Cover of 'Plant Systems Biology'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Gene-Specific and Genome-Wide ChIP Approaches to Study Plant Transcriptional Networks
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    Chapter 2 Genome-Wide Analysis of RNA-Protein Interactions in Plants
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    Chapter 3 Whole-Genome Microarrays: Applications and Technical Issues
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    Chapter 4 Manipulating large-scale Arabidopsis microarray expression data: identifying dominant expression patterns and biological process enrichment.
  6. Altmetric Badge
    Chapter 5 Applications of ultra-high-throughput sequencing.
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    Chapter 6 Isolation of Plant Polysomal mRNA by Differential Centrifugation and Ribosome Immunopurification Methods
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    Chapter 7 Chromatin Charting: Global Mapping of Epigenetic Effects
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    Chapter 8 Clone-Based Functional Genomics
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    Chapter 9 Challenges and Approaches to Statistical Design and Inference in High-Dimensional Investigations
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    Chapter 10 Discrete Dynamic Modeling with Asynchronous Update, or How to Model Complex Systems in the Absence of Quantitative Information
  12. Altmetric Badge
    Chapter 11 Quantification of Variation in Expression Networks
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    Chapter 12 Co-expression Analysis of Metabolic Pathways in Plants
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    Chapter 13 Integration of Metabolic Reactions and Gene Regulation
  15. Altmetric Badge
    Chapter 14 Applying Word-Based Algorithms: The IMEter
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    Chapter 15 Live-Imaging and Image Processing of Shoot Apical Meristems of Arabidopsis thaliana
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    Chapter 16 Computer Vision as a Tool to Study Plant Development
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    Chapter 17 Metabolomics of Plant Volatiles
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    Chapter 18 Chemical Genomics Approaches in Plant Biology
  20. Altmetric Badge
    Chapter 19 Comparison of Quantitative Metabolite Imaging Tools and Carbon-13 Techniques for Fluxomics
  21. Altmetric Badge
    Chapter 20 Democratization and Integration of Genomic Profiling Tools
Attention for Chapter 5: Applications of ultra-high-throughput sequencing.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
125 Mendeley
citeulike
8 CiteULike
connotea
1 Connotea
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Chapter title
Applications of ultra-high-throughput sequencing.
Chapter number 5
Book title
Plant Systems Biology
Published in
Methods in molecular biology, July 2009
DOI 10.1007/978-1-60327-563-7_5
Pubmed ID
Book ISBNs
978-1-60327-562-0, 978-1-60327-563-7
Authors

Fox S, Filichkin S, Mockler TC, Samuel Fox, Sergei Filichkin, Todd C. Mockler, Fox, Samuel, Filichkin, Sergei, Mockler, Todd C.

Abstract

The genomics era has enabled scientists to more readily pose truly global questions regarding mutation, evolution, gene and genome structure, function, and regulation. Just as Sanger sequencing ushered in a paradigm shift that enabled the molecular basis of biological questions to be directly addressed, to an even greater degree, ultra-high-throughput DNA sequencing is poised to dramatically change the nature of biological research. New sequencing technologies have opened the door for novel questions to be addressed at the level of the entire genome in the areas of comparative genomics, systems biology, metagenomics, and genome biology. These new sequencing technologies provide a tremendous amount of DNA sequence data to be collected at an astounding pace, with reduced costs, effort, and time as compared to Sanger sequencing. Applications of ultra-high-throughput sequencing (UHTS) are essentially limited only by the imaginations of researchers, and include genome sequencing/resequencing, small RNA discovery, deep SNP discovery, chromatin immunoprecipitation (ChIP) and RNA immunoprecipitation (RIP) coupled with sequence identification, transcriptome analysis including empirical annotation, discovery and characterization of alternative splicing, and gene expression profiling. This technology will have a profound impact on plant breeding, biotechnology, and our fundamental understanding of plant evolution, development, and environmental responses. In this chapter, we provide an overview of UHTS approaches and their applications. We also describe a protocol we have developed for deep sequencing of plant transcriptomes using the Illumina/Solexa sequencing platform.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
Brazil 4 3%
France 2 2%
Belgium 2 2%
Sweden 2 2%
Colombia 1 <1%
South Africa 1 <1%
Italy 1 <1%
Mexico 1 <1%
Other 3 2%
Unknown 102 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 30%
Student > Ph. D. Student 24 19%
Student > Master 16 13%
Professor 9 7%
Other 6 5%
Other 19 15%
Unknown 13 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 58%
Biochemistry, Genetics and Molecular Biology 17 14%
Medicine and Dentistry 9 7%
Immunology and Microbiology 3 2%
Environmental Science 2 2%
Other 9 7%
Unknown 13 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 21 June 2010.
All research outputs
#5,576,537
of 22,705,019 outputs
Outputs from Methods in molecular biology
#1,541
of 13,076 outputs
Outputs of similar age
#29,715
of 110,363 outputs
Outputs of similar age from Methods in molecular biology
#2
of 17 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,076 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 88% of its peers.
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 110,363 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.