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Haplotyping

Overview of attention for book
Cover of 'Haplotyping'

Table of Contents

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    Book Overview
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    Chapter 1 Haplotyping of Heterozygous SNPs in Genomic DNA Using Long-Range PCR.
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    Chapter 2 Quantification and Sequencing of Crossover Recombinant Molecules from Arabidopsis Pollen DNA.
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    Chapter 3 PacBio for Haplotyping in Gene Families
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    Chapter 4 High Molecular Weight DNA Enrichment with Peptide Nucleic Acid Probes
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    Chapter 5 High-Throughput Sequencing of the Major Histocompatibility Complex following Targeted Sequence Capture
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    Chapter 6 Pedigree-Defined Haplotypes and Their Applications to Genetic Studies
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    Chapter 7 Haplotyping a Non-meiotic Diploid Fungal Pathogen Using Induced Aneuploidies and SNP/CGH Microarray Analysis.
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    Chapter 8 Whole-Genome Haplotyping of Single Sperm of Daphnia pulex (Crustacea, Anomopoda).
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    Chapter 9 Chromosome-Range Whole-Genome High-Throughput Experimental Haplotyping by Single-Chromosome Microdissection
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    Chapter 10 Phased Genome Sequencing Through Chromosome Sorting
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    Chapter 11 Long Fragment Read (LFR) Technology: Cost-Effective, High-Quality Genome-Wide Molecular Haplotyping
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    Chapter 12 Contiguity-Preserving Transposition Sequencing (CPT-Seq) for Genome-Wide Haplotyping, Assembly, and Single-Cell ATAC-Seq
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    Chapter 13 A Fosmid Pool-Based Next Generation Sequencing Approach to Haplotype-Resolve Whole Genomes
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    Chapter 14 Discovery of Rare Haplotypes by Typing Millions of Single-Molecules with Bead Emulsion Haplotyping (BEH)
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    Chapter 15 Computational Haplotype Inference from Pooled Samples
Attention for Chapter 8: Whole-Genome Haplotyping of Single Sperm of Daphnia pulex (Crustacea, Anomopoda).
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Chapter title
Whole-Genome Haplotyping of Single Sperm of Daphnia pulex (Crustacea, Anomopoda).
Chapter number 8
Book title
Haplotyping
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6750-6_8
Pubmed ID
Book ISBNs
978-1-4939-6748-3, 978-1-4939-6750-6
Authors

Xu, Sen, Young, Kim, Sen Xu, Kim Young

Editors

Irene Tiemann-Boege, Andrea Betancourt

Abstract

Sequencing the entire genome of single sperm cells can provide valuable information of the distribution of meiotic recombination events in eukaryotic genomes. Here, we provide a description of the experimental work flow for isolating single sperm cells from the microcrustacean Daphnia pulex using fluorescence-activated cell sorting. Moreover, we describe the application of a whole-genome amplification technique (i.e., Multiple Annealing and Looping Based Amplification Cycles method) to single sperm of Daphnia to generate enough DNA for library preparation of next-generation sequencing.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 67%
Researcher 1 17%
Unknown 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 50%
Agricultural and Biological Sciences 2 33%
Unknown 1 17%
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 01 February 2017.
All research outputs
#15,440,760
of 22,950,943 outputs
Outputs from Methods in molecular biology
#5,372
of 13,138 outputs
Outputs of similar age
#256,997
of 420,989 outputs
Outputs of similar age from Methods in molecular biology
#466
of 1,074 outputs
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So far Altmetric has tracked 13,138 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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