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Old can be new again: HAPPY whole genome sequencing, mapping and assembly

Overview of attention for article published in International Journal of Biological Sciences, April 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
patent
24 patents

Readers on

mendeley
95 Mendeley
citeulike
1 CiteULike
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Article details
Title
Old can be new again: HAPPY whole genome sequencing, mapping and assembly
Published in
International Journal of Biological Sciences, April 2009
DOI 10.7150/ijbs.5.298
Pubmed ID
Authors
Abstract

During the last three decades, both genome mapping and sequencing methods have advanced significantly to provide a foundation for scientists to understand genome structures and functions in many species. Generally speaking, genome mapping relies on genome sequencing to provide basic materials, such as DNA probes and markers for their localizations, thus constructing the maps. On the other hand, genome sequencing often requires a high-resolution map as a skeleton for whole genome assembly. However, both genome mapping and sequencing have never come together in one pipeline. After reviewing mapping and next-generation sequencing methods, we would like to share our thoughts with the genome community on how to combine the HAPPY mapping technique with the new-generation sequencing, thus integrating two systems into one pipeline, called HAPPY pipeline. The pipeline starts with preparation of a HAPPY panel, followed by multiple displacement amplification for producing a relatively large quantity of DNA. Instead of conventional marker genotyping, the amplified panel DNA samples are subject to new-generation sequencing with barcode method, which allows us to determine the presence/absence of a sequence contig as a traditional marker in the HAPPY panel. Statistical analysis will then be performed to infer how close or how far away from each other these contigs are within a genome and order the whole genome sequence assembly as well. We believe that such a universal approach will play an important role in genome sequencing, mapping, and assembly of many species; thus advancing genome science and its applications in biomedicine and agriculture.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 2%
Canada 2 2%
Sweden 1 1%
Russia 1 1%
Norway 1 1%
India 1 1%
France 1 1%
Germany 1 1%
Chile 1 1%
Other 2 2%
Unknown 82 86%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 30 32%
Student > Ph. D. Student 19 20%
Professor > Associate Professor 10 11%
Professor 8 8%
Student > Master 8 8%
Other 17 18%
Unknown 3 3%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 68 72%
Biochemistry, Genetics and Molecular Biology 5 5%
Medicine and Dentistry 4 4%
Computer Science 3 3%
Veterinary Science and Veterinary Medicine 2 2%
Other 9 9%
Unknown 4 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 20 January 2026.
All research outputs
#4,889,707
of 28,841,988 outputs
Outputs from International Journal of Biological Sciences
#184
of 1,400 outputs
Outputs of similar age
#20,126
of 119,809 outputs
Outputs of similar age from International Journal of Biological Sciences
#1
of 5 outputs
Altmetric has tracked 28,841,988 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done well, scoring higher than 85% 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 119,809 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 82% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them