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A simple procedure for directly obtaining haplotype sequences of diploid genomes

Overview of attention for article published in BMC Genomics, August 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Title
A simple procedure for directly obtaining haplotype sequences of diploid genomes
Published in
BMC Genomics, August 2015
DOI 10.1186/s12864-015-1818-4
Pubmed ID
Authors

Harry A. Noyes, Derek Daly, Ian Goodhead, Suzanne Kay, Steven J. Kemp, John Kenny, Ilik Saccheri, Robert D. Schnabel, Jeremy F. Taylor, Neil Hall

Abstract

Almost all genome sequencing projects neglect the fact that diploid organisms contain two genome copies and consequently what is published is a composite of the two. This means that the relationship between alternate alleles at two or more linked loci is lost. We have developed a simplified method of directly obtaining the haploid sequences of each genome copy from an individual organism. The diploid sequences of three groups of cattle samples were obtained using a simple sample preparation procedure requiring only a microscope and a haemocytometer. Samples were: 1) lymphocytes from a single Angus steer; 2) sperm cells from an Angus bull; 3) lymphocytes from East African Zebu (EAZ) cattle collected and processed in a field laboratory in Eastern Kenya. Haploid sequence from a fosmid library prepared from lymphocytes of an EAZ cow was used for comparison. Cells were serially diluted to a concentration of one cell per microlitre by counting with a haemocytometer at each dilution. One microlitre samples, each potentially containing a single cell, were lysed and divided into six aliquots (except for the sperm samples which were not divided into aliquots). Each aliquot was amplified with phi29 polymerase and sequenced. Contigs were obtained by mapping to the bovine UMD3.1 reference genome assembly and scaffolds were assembled by joining adjacent contigs that were within a threshold distance of each other. Scaffolds that appeared to contain artefacts of CNV or repeats were filtered out leaving scaffolds with an N50 length of 27-133 kb and a 88-98 % genome coverage. SNP haplotypes were assembled with the Single Individual Haplotyper program to generate an N50 size of 97-201 kb but only ~27-68 % genome coverage. This method can be used in any laboratory with no special equipment at only slightly higher costs than conventional diploid genome sequencing. A substantial body of software for analysis and workflow management was written and is available as supplementary data. We have developed a set of laboratory protocols and software tools that will enable any laboratory to obtain haplotype sequences at only modestly greater cost than traditional mixed diploid sequences.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
France 1 2%
Switzerland 1 2%
Unknown 41 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 24%
Professor 4 9%
Student > Ph. D. Student 3 7%
Other 3 7%
Student > Bachelor 3 7%
Other 10 22%
Unknown 11 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 38%
Medicine and Dentistry 4 9%
Biochemistry, Genetics and Molecular Biology 4 9%
Engineering 2 4%
Computer Science 2 4%
Other 6 13%
Unknown 10 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 25 May 2016.
All research outputs
#5,600,132
of 23,313,051 outputs
Outputs from BMC Genomics
#2,208
of 10,742 outputs
Outputs of similar age
#64,633
of 269,201 outputs
Outputs of similar age from BMC Genomics
#54
of 262 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,742 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 79% 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 269,201 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 262 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.