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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 7: Haplotyping a Non-meiotic Diploid Fungal Pathogen Using Induced Aneuploidies and SNP/CGH Microarray Analysis.
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Chapter title
Haplotyping a Non-meiotic Diploid Fungal Pathogen Using Induced Aneuploidies and SNP/CGH Microarray Analysis.
Chapter number 7
Book title
Haplotyping
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6750-6_7
Pubmed ID
28138844
Book ISBNs
978-1-4939-6748-3, 978-1-4939-6750-6
Authors

Berman, Judith, Forche, Anja, Judith Berman, Anja Forche

Editors

Irene Tiemann-Boege, Andrea Betancourt

Abstract

The generation of haplotype information has recently become very attractive due to its utility for identifying mutations associated with human disease and for the development of personalized medicine. Haplotype information also is crucial for studying recombination mechanisms and genetic diversity, and for analyzing allele-specific gene expression. Classic haplotyping methods require the analysis of hundreds of meiotic progeny. To facilitate haplotyping in the non-meiotic human fungal pathogen Candida albicans, we exploited trisomic heterozygous chromosomes generated via the UAU1 selection strategy. Using this system, we obtained phasing information from allelic biases, detected by SNP/CGH microarray analysis. This strategy has the potential to be applicable to other diploid, asexual Candida species that are important causes of human disease.

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Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 100%
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 03 July 2018.
All research outputs
#13,866,700
of 23,498,099 outputs
Outputs from Methods in molecular biology
#3,774
of 13,368 outputs
Outputs of similar age
#215,524
of 423,680 outputs
Outputs of similar age from Methods in molecular biology
#328
of 1,074 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% 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 69% 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 423,680 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 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 68% of its contemporaries.

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