↓ Skip to main content

Haplotyping

Overview of attention for book
Cover of 'Haplotyping'

Table of Contents

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

Mentioned by

twitter
1 X user

Readers on

mendeley
17 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
Long Fragment Read (LFR) Technology: Cost-Effective, High-Quality Genome-Wide Molecular Haplotyping
Chapter number 11
Book title
Haplotyping
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6750-6_11
Pubmed ID
Book ISBNs
978-1-4939-6748-3, 978-1-4939-6750-6
Authors

Mark A. McElwain, Rebecca Yu Zhang, Radoje Drmanac, Brock A. Peters, McElwain, Mark A., Zhang, Rebecca Yu, Drmanac, Radoje, Peters, Brock A.

Editors

Irene Tiemann-Boege, Andrea Betancourt

Abstract

In this chapter, we describe Long Fragment Read (LFR) technology, a DNA preprocessing method for genome-wide haplotyping by whole genome sequencing (WGS). The addition of LFR prior to WGS on any high-throughput DNA sequencer (e.g., Complete Genomics Revolocity™, BGISEQ-500, Illumina HiSeq, etc.) enables the assignment of single-nucleotide polymorphisms (SNPs) and other genomic variants onto contigs representing contiguous DNA from a single parent (haplotypes) with N50 lengths of up to ~1 Mb. Importantly, this is achieved independent of any parental sequencing data or knowledge of parental haplotypes. Further, the nature of this method allows for the correction of most amplification, sequencing, and mapping errors, resulting in false-positive error rates as low as 10(-9). This method can be employed either manually using hand-held micropipettors or in the preferred, automated manner described below, utilizing liquid-handling robots capable of pipetting in the nanoliter range. Automating the method limits the amount of hands-on time and allows significant reduction in reaction volumes. Further, the cost of LFR, as described in this chapter, is moderate, while it adds invaluable whole genome haplotype data to almost any WGS process.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 24%
Student > Ph. D. Student 4 24%
Student > Postgraduate 2 12%
Student > Bachelor 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 4 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 24%
Engineering 3 18%
Biochemistry, Genetics and Molecular Biology 2 12%
Computer Science 2 12%
Nursing and Health Professions 1 6%
Other 0 0%
Unknown 5 29%
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 30 September 2022.
All research outputs
#18,919,226
of 23,443,716 outputs
Outputs from Methods in molecular biology
#8,118
of 13,325 outputs
Outputs of similar age
#313,092
of 422,487 outputs
Outputs of similar age from Methods in molecular biology
#737
of 1,166 outputs
Altmetric has tracked 23,443,716 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,325 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 422,487 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,166 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.