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MPDA: Microarray pooled DNA analyzer

Overview of attention for article published in BMC Bioinformatics, April 2008
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
27 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Title
MPDA: Microarray pooled DNA analyzer
Published in
BMC Bioinformatics, April 2008
DOI 10.1186/1471-2105-9-196
Pubmed ID
Authors

Hsin-Chou Yang, Mei-Chu Huang, Ling-Hui Li, Chien-Hsing Lin, Alice LT Yu, Mitchell B Diccianni, Jer-Yuarn Wu, Yuan-Tsong Chen, Cathy SJ Fann

Abstract

Microarray-based pooled DNA experiments that combine the merits of DNA pooling and gene chip technology constitute a pivotal advance in biotechnology. This new technique uses pooled DNA, thereby reducing costs associated with the typing of DNA from numerous individuals. Moreover, use of an oligonucleotide gene chip reduces costs related to processing various DNA segments (e.g., primers, reagents). Thus, the technique provides an overall cost-effective solution for large-scale genomic/genetic research. However, few publicly shared tools are available to systematically analyze the rapidly accumulating volume of whole-genome pooled DNA data. We propose a generalized concept of pooled DNA and present a user-friendly tool named Microarray Pooled DNA Analyzer (MPDA) that we developed to analyze hybridization intensity data from microarray-based pooled DNA experiments. MPDA enables whole-genome DNA preferential amplification/hybridization analysis, allele frequency estimation, association mapping, allelic imbalance detection, and permits integration with shared data resources online. Graphic and numerical outputs from MPDA support global and detailed inspection of large amounts of genomic data. Four whole-genome data analyses are used to illustrate the major functionalities of MPDA. The first analysis shows that MPDA can characterize genomic patterns of preferential amplification/hybridization and provide calibration information for pooled DNA data analysis. The second analysis demonstrates that MPDA can accurately estimate allele frequencies. The third analysis indicates that MPDA is cost-effective and reliable for association mapping. The final analysis shows that MPDA can identify regions of chromosomal aberration in cancer without paired-normal tissue. MPDA, the software that integrates pooled DNA association analysis and allelic imbalance analysis, provides a convenient analysis system for extensive whole-genome pooled DNA data analysis. The software, user manual and illustrated examples are freely available online at the MPDA website listed in the Availability and requirements section.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 37%
Other 6 22%
Student > Ph. D. Student 4 15%
Professor 2 7%
Student > Postgraduate 2 7%
Other 2 7%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 41%
Biochemistry, Genetics and Molecular Biology 5 19%
Medicine and Dentistry 5 19%
Business, Management and Accounting 1 4%
Environmental Science 1 4%
Other 2 7%
Unknown 2 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 27 May 2020.
All research outputs
#1,778,387
of 22,851,489 outputs
Outputs from BMC Bioinformatics
#417
of 7,292 outputs
Outputs of similar age
#4,489
of 81,778 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 48 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,292 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 94% 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 81,778 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.