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Plant Bioinformatics

Overview of attention for book
Cover of 'Plant Bioinformatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Using GenBank.
  3. Altmetric Badge
    Chapter 2 UniProtKB/Swiss-Prot, the Manually Annotated Section of the UniProt KnowledgeBase: How to Use the Entry View.
  4. Altmetric Badge
    Chapter 3 KEGG Bioinformatics Resource for Plant Genomics and Metabolomics.
  5. Altmetric Badge
    Chapter 4 Plant Bioinformatics
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    Chapter 5 The Plant Ontology: A Tool for Plant Genomics.
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    Chapter 6 Ensembl Plants: Integrating Tools for Visualizing, Mining, and Analyzing Plant Genomics Data.
  8. Altmetric Badge
    Chapter 7 Gramene: A Resource for Comparative Analysis of Plants Genomes and Pathways.
  9. Altmetric Badge
    Chapter 8 PGSB/MIPS Plant Genome Information Resources and Concepts for the Analysis of Complex Grass Genomes.
  10. Altmetric Badge
    Chapter 9 MaizeGDB: The Maize Genetics and Genomics Database.
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    Chapter 10 WheatGenome.info: A Resource for Wheat Genomics Resource.
  12. Altmetric Badge
    Chapter 11 User Guidelines for the Brassica Database: BRAD.
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    Chapter 12 TAG Sequence Identification of Genomic Regions Using TAGdb.
  14. Altmetric Badge
    Chapter 13 Short Read Alignment Using SOAP2.
  15. Altmetric Badge
    Chapter 14 Tablet: Visualizing Next-Generation Sequence Assemblies and Mappings.
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    Chapter 15 Analysis of Genotyping-by-Sequencing (GBS) Data.
  17. Altmetric Badge
    Chapter 16 Skim-Based Genotyping by Sequencing Using a Double Haploid Population to Call SNPs, Infer Gene Conversions, and Improve Genome Assemblies.
  18. Altmetric Badge
    Chapter 17 Finding and Characterizing Repeats in Plant Genomes.
  19. Altmetric Badge
    Chapter 18 Analysis of RNA-Seq Data Using TopHat and Cufflinks.
Attention for Chapter 14: Tablet: Visualizing Next-Generation Sequence Assemblies and Mappings.
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Chapter title
Tablet: Visualizing Next-Generation Sequence Assemblies and Mappings.
Chapter number 14
Book title
Plant Bioinformatics
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3167-5_14
Pubmed ID
Book ISBNs
978-1-4939-3166-8, 978-1-4939-3167-5
Authors

Milne, Iain, Bayer, Micha, Stephen, Gordon, Cardle, Linda, Marshall, David, Iain Milne, Micha Bayer, Gordon Stephen, Linda Cardle, David Marshall

Editors

David Edwards

Abstract

This chapter is designed to be a practical guide to using Tablet for the visualization of next/second-generation (NGS) sequencing data. NGS data is being produced more frequently and in greater data volumes every year. As such, it is increasingly important to have tools which enable biologists and bioinformaticians to understand and gain key insights into their data. Visualization can play a key role in the exploration of such data as well as aid in the visual validation of sequence assemblies and features such as single nucleotide polymorphisms (SNPs). We aim to show several use cases which demonstrate Tablet's ability to visually highlight various situations of interest which can arise in NGS data.

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X Demographics

The data shown below were collected from the profiles of 2 X users 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 29%
Student > Master 4 19%
Student > Ph. D. Student 4 19%
Student > Bachelor 2 10%
Other 1 5%
Other 1 5%
Unknown 3 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 33%
Agricultural and Biological Sciences 7 33%
Computer Science 1 5%
Immunology and Microbiology 1 5%
Unknown 5 24%
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 25 May 2016.
All research outputs
#15,349,419
of 22,831,537 outputs
Outputs from Methods in molecular biology
#5,344
of 13,126 outputs
Outputs of similar age
#230,864
of 393,555 outputs
Outputs of similar age from Methods in molecular biology
#545
of 1,470 outputs
Altmetric has tracked 22,831,537 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 13,126 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.