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Chapter title |
Skim-Based Genotyping by Sequencing Using a Double Haploid Population to Call SNPs, Infer Gene Conversions, and Improve Genome Assemblies.
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---|---|
Chapter number | 16 |
Book title |
Plant Bioinformatics
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Published in |
Methods in molecular biology, January 2016
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DOI | 10.1007/978-1-4939-3167-5_16 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3166-8, 978-1-4939-3167-5
|
Authors |
Bayer, Philipp Emanuel, Philipp Emanuel Bayer |
Editors |
David Edwards |
Abstract |
Genotyping by sequencing (GBS) is an emerging technology to rapidly call an abundance of Single Nucleotide Polymorphisms (SNPs) using genome sequencing technology. Several different methodologies and approaches have recently been established, most of these relying on a specific preparation of data. Here we describe our GBS-pipeline, which uses high coverage reads from two parents and low coverage reads from their double haploid offspring to call SNPs on a large scale. The upside of this approach is the high resolution and scalability of the method. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 25% |
Norway | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 50% |
Student > Ph. D. Student | 1 | 25% |
Professor | 1 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 3 | 75% |
Biochemistry, Genetics and Molecular Biology | 1 | 25% |
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 01 November 2015.
All research outputs
#20,295,099
of 22,831,537 outputs
Outputs from Methods in molecular biology
#9,917
of 13,126 outputs
Outputs of similar age
#330,605
of 393,555 outputs
Outputs of similar age from Methods in molecular biology
#1,053
of 1,470 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.