↓ Skip to main content

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
  6. Altmetric Badge
    Chapter 5 The Plant Ontology: A Tool for Plant Genomics.
  7. Altmetric Badge
    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.
  11. Altmetric Badge
    Chapter 10 WheatGenome.info: A Resource for Wheat Genomics Resource.
  12. Altmetric Badge
    Chapter 11 User Guidelines for the Brassica Database: BRAD.
  13. Altmetric Badge
    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.
  16. Altmetric Badge
    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 8: PGSB/MIPS Plant Genome Information Resources and Concepts for the Analysis of Complex Grass Genomes.
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
15 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
PGSB/MIPS Plant Genome Information Resources and Concepts for the Analysis of Complex Grass Genomes.
Chapter number 8
Book title
Plant Bioinformatics
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3167-5_8
Pubmed ID
Book ISBNs
978-1-4939-3166-8, 978-1-4939-3167-5
Authors

Spannagl, Manuel, Bader, Kai, Pfeifer, Matthias, Nussbaumer, Thomas, Mayer, Klaus F X, Manuel Spannagl, Kai Bader, Matthias Pfeifer, Thomas Nussbaumer, Klaus F. X. Mayer, Mayer, Klaus F. X.

Editors

David Edwards

Abstract

PGSB (Plant Genome and Systems Biology; formerly MIPS-Munich Institute for Protein Sequences) has been involved in developing, implementing and maintaining plant genome databases for more than a decade. Genome databases and analysis resources have focused on individual genomes and aim to provide flexible and maintainable datasets for model plant genomes as a backbone against which experimental data, e.g., from high-throughput functional genomics, can be organized and analyzed. In addition, genomes from both model and crop plants form a scaffold for comparative genomics, assisted by specialized tools such as the CrowsNest viewer to explore conserved gene order (synteny) between related species on macro- and micro-levels.The genomes of many economically important Triticeae plants such as wheat, barley, and rye present a great challenge for sequence assembly and bioinformatic analysis due to their enormous complexity and large genome size. Novel concepts and strategies have been developed to deal with these difficulties and have been applied to the genomes of wheat, barley, rye, and other cereals. This includes the GenomeZipper concept, reference-guided exome assembly, and "chromosome genomics" based on flow cytometry sorted chromosomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Ph. D. Student 3 20%
Professor 2 13%
Student > Master 2 13%
Other 1 7%
Other 1 7%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 60%
Computer Science 3 20%
Engineering 1 7%
Unknown 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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
#14,680,831
of 23,498,099 outputs
Outputs from Methods in molecular biology
#4,353
of 13,368 outputs
Outputs of similar age
#209,921
of 396,908 outputs
Outputs of similar age from Methods in molecular biology
#425
of 1,472 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,368 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 63% 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 396,908 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,472 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.