↓ Skip to main content

Plant Genotyping

Overview of attention for book
Cover of 'Plant Genotyping'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Advances in Plant Genotyping: Where the Future Will Take Us
  3. Altmetric Badge
    Chapter 2 Molecular Marker Applications in Plants
  4. Altmetric Badge
    Chapter 3 Bioinformatics: identification of markers from next-generation sequence data.
  5. Altmetric Badge
    Chapter 4 Molecular Marker Databases
  6. Altmetric Badge
    Chapter 5 Plant Genotyping Using Fluorescently Tagged Inter-Simple Sequence Repeats (ISSRs): Basic Principles and Methodology
  7. Altmetric Badge
    Chapter 6 SSR Genotyping
  8. Altmetric Badge
    Chapter 7 Genotyping Analysis Using an RFLP Assay
  9. Altmetric Badge
    Chapter 8 DNA Barcoding for Plants
  10. Altmetric Badge
    Chapter 9 Multiplexed digital gene expression analysis for genetical genomics in large plant populations.
  11. Altmetric Badge
    Chapter 10 SNP Genotyping by Heteroduplex Analysis
  12. Altmetric Badge
    Chapter 11 Application of the High-Resolution Melting Technique for Gene Mapping and SNP Detection in Plants
  13. Altmetric Badge
    Chapter 12 Challenges of Genotyping Polyploid Species
  14. Altmetric Badge
    Chapter 13 Genomic Reduction Assisted Single Nucleotide Polymorphism Discovery Using 454-Pyrosequencing
  15. Altmetric Badge
    Chapter 14 Inter-SINE Amplified Polymorphism (ISAP) for Rapid and Robust Plant Genotyping
  16. Altmetric Badge
    Chapter 15 Screening of Mutations by TILLING in Plants
  17. Altmetric Badge
    Chapter 16 Gene Analysis Using Mass Spectrometric Cleaved Amplified Polymorphic Sequence (MS-CAPS) with Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF)
  18. Altmetric Badge
    Chapter 17 Quantitative SNP Genotyping of Polyploids with MassARRAY and Other Platforms.
  19. Altmetric Badge
    Chapter 18 SNP Genotyping Using KASPar Assays
  20. Altmetric Badge
    Chapter 19 Skim-based genotyping by sequencing.
  21. Altmetric Badge
    Chapter 20 The Restriction Enzyme Target Approach to Genotyping by Sequencing (GBS).
  22. Altmetric Badge
    Chapter 21 Methods for the design, implementation, and analysis of illumina infinium™ SNP assays in plants.
  23. Altmetric Badge
    Chapter 22 Use of the Illumina GoldenGate Assay for Single Nucleotide Polymorphism (SNP) Genotyping in Cereal Crops
Attention for Chapter 19: Skim-based genotyping by sequencing.
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
2 X users
googleplus
1 Google+ user

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
55 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
Skim-based genotyping by sequencing.
Chapter number 19
Book title
Plant Genotyping
Published in
Methods in molecular biology, October 2014
DOI 10.1007/978-1-4939-1966-6_19
Pubmed ID
Book ISBNs
978-1-4939-1965-9, 978-1-4939-1966-6
Authors

Agnieszka A Golicz, Philipp E Bayer, David Edwards, Golicz, Agnieszka A., Bayer, Philipp E., Edwards, David, Agnieszka A. Golicz, Philipp E. Bayer

Abstract

Genotyping by sequencing (GBS) is a relatively new method used to determine the differences in the genetic makeup of individuals. Its novelty stems from a combination of two already available methods: genotyping and next-generation sequencing. Depending on the individual study design GBS protocols can take multiple forms, however most share a sequence of core steps that have to be undertaken. These include: sequencing of the DNA from the individuals of interest (usually two parents of a mapping population and their progeny), mapping of the sequencing reads to the reference sequence, SNP calling and filtering, SNP genotyping and imputation, followed by haplotype identification and downstream analysis. GBS has a range of applications from general marker discovery, haplotype identification, and recombination characterization to quantitative trait locus (QTL) analysis, genome-wide association studies (GWAS), and genomic selection (GS). It has already been applied to a range of plant species including: rice, maize, artichoke, and Arabidopsis thaliana. It is a promising approach which is likely to provide new and important insights into plant biology.

X Demographics

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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Norway 1 2%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 24%
Student > Ph. D. Student 9 16%
Student > Master 5 9%
Student > Bachelor 3 5%
Student > Doctoral Student 3 5%
Other 7 13%
Unknown 15 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 51%
Biochemistry, Genetics and Molecular Biology 5 9%
Unspecified 1 2%
Environmental Science 1 2%
Veterinary Science and Veterinary Medicine 1 2%
Other 3 5%
Unknown 16 29%
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 13 November 2014.
All research outputs
#13,922,782
of 22,769,322 outputs
Outputs from Methods in molecular biology
#3,918
of 13,090 outputs
Outputs of similar age
#127,467
of 253,923 outputs
Outputs of similar age from Methods in molecular biology
#21
of 123 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 68% 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 253,923 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.