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Real-time demultiplexing Nanopore barcoded sequencing data with npBarcode.

Overview of attention for article published in Bioinformatics, August 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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5 X users
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7 patents

Citations

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7 Dimensions

Readers on

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21 Mendeley
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Title
Real-time demultiplexing Nanopore barcoded sequencing data with npBarcode.
Published in
Bioinformatics, August 2017
DOI 10.1093/bioinformatics/btx537
Pubmed ID
Authors

Son Hoang Nguyen, Tania P S Duarte, Lachlan J M Coin, Minh Duc Cao

Abstract

The recent introduction of a barcoding protocol for Oxford Nanopore sequencing has increased the versatility of the technology. Several bioinformatics tools have been developed to demultiplex barcoded reads, but none of them support streaming analysis. This limits the use of multiplexed sequencing in real- time applications, which is one of the main advantages of the technology. We introduced npBarcode, an open source and cross platform tool for barcode demultiplexing in streaming fashion that can be used to pipe data to further real-time analyses. The tool also provides a friendly graphical user interface by integrating the module into npReader, making possible to monitor the progress concurrently when the sequencing is still in progress. We show that our algorithm achieves accuracies at least as good as competing tools. npBarcode is bundled in Japsa - a Java tools kit for genome analysis, and is freely available at https://github:com/mdcao/japsa . [email protected] , [email protected].

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 19%
Student > Master 3 14%
Student > Ph. D. Student 3 14%
Professor > Associate Professor 2 10%
Student > Bachelor 2 10%
Other 4 19%
Unknown 3 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 48%
Computer Science 2 10%
Biochemistry, Genetics and Molecular Biology 2 10%
Unspecified 1 5%
Earth and Planetary Sciences 1 5%
Other 1 5%
Unknown 4 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 06 June 2023.
All research outputs
#3,374,356
of 23,342,092 outputs
Outputs from Bioinformatics
#2,231
of 8,020 outputs
Outputs of similar age
#63,099
of 318,013 outputs
Outputs of similar age from Bioinformatics
#32
of 113 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,020 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 70% 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 318,013 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 79% of its contemporaries.
We're also able to compare this research output to 113 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 71% of its contemporaries.