↓ Skip to main content

Depletion of Abundant Sequences by Hybridization (DASH): using Cas9 to remove unwanted high-abundance species in sequencing libraries and molecular counting applications

Overview of attention for article published in Genome Biology, March 2016
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
2 news outlets
twitter
120 X users
patent
20 patents
wikipedia
3 Wikipedia pages
video
1 YouTube creator

Citations

dimensions_citation
267 Dimensions

Readers on

mendeley
531 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Depletion of Abundant Sequences by Hybridization (DASH): using Cas9 to remove unwanted high-abundance species in sequencing libraries and molecular counting applications
Published in
Genome Biology, March 2016
DOI 10.1186/s13059-016-0904-5
Pubmed ID
Authors

W. Gu, E. D. Crawford, B. D. O’Donovan, M. R. Wilson, E. D. Chow, H. Retallack, J. L. DeRisi

Abstract

Next-generation sequencing has generated a need for a broadly applicable method to remove unwanted high-abundance species prior to sequencing. We introduce DASH (Depletion of Abundant Sequences by Hybridization). Sequencing libraries are 'DASHed' with recombinant Cas9 protein complexed with a library of guide RNAs targeting unwanted species for cleavage, thus preventing them from consuming sequencing space. We demonstrate a more than 99 % reduction of mitochondrial rRNA in HeLa cells, and enrichment of pathogen sequences in patient samples. We also demonstrate an application of DASH in cancer. This simple method can be adapted for any sample type and increases sequencing yield without additional cost.

X Demographics

X Demographics

The data shown below were collected from the profiles of 120 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 531 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 2%
United Kingdom 3 <1%
Australia 1 <1%
Sweden 1 <1%
Netherlands 1 <1%
South Africa 1 <1%
Thailand 1 <1%
Belgium 1 <1%
Unknown 509 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 148 28%
Student > Ph. D. Student 112 21%
Student > Master 35 7%
Student > Bachelor 34 6%
Other 29 5%
Other 65 12%
Unknown 108 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 148 28%
Biochemistry, Genetics and Molecular Biology 145 27%
Medicine and Dentistry 34 6%
Immunology and Microbiology 23 4%
Engineering 12 2%
Other 46 9%
Unknown 123 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 96. 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 15 August 2023.
All research outputs
#442,261
of 25,517,918 outputs
Outputs from Genome Biology
#239
of 4,484 outputs
Outputs of similar age
#7,879
of 313,742 outputs
Outputs of similar age from Genome Biology
#6
of 63 outputs
Altmetric has tracked 25,517,918 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,484 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 313,742 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 97% of its contemporaries.
We're also able to compare this research output to 63 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 92% of its contemporaries.