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A base composition analysis of natural patterns for the preprocessing of metagenome sequences

Overview of attention for article published in BMC Bioinformatics, November 2013
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Title
A base composition analysis of natural patterns for the preprocessing of metagenome sequences
Published in
BMC Bioinformatics, November 2013
DOI 10.1186/1471-2105-14-s11-s5
Pubmed ID
Authors

Oliver Bonham-Carter, Hesham Ali, Dhundy Bastola

Abstract

On the pretext that sequence reads and contigs often exhibit the same kinds of base usage that is also observed in the sequences from which they are derived, we offer a base composition analysis tool. Our tool uses these natural patterns to determine relatedness across sequence data. We introduce spectrum sets (sets of motifs) which are permutations of bacterial restriction sites and the base composition analysis framework to measure their proportional content in sequence data. We suggest that this framework will increase the efficiency during the pre-processing stages of metagenome sequencing and assembly projects.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 17%
Professor 2 17%
Researcher 2 17%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Other 0 0%
Unknown 4 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 50%
Computer Science 1 8%
Psychology 1 8%
Unknown 4 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 February 2014.
All research outputs
#8,869,647
of 11,121,747 outputs
Outputs from BMC Bioinformatics
#3,506
of 4,185 outputs
Outputs of similar age
#123,334
of 182,031 outputs
Outputs of similar age from BMC Bioinformatics
#91
of 115 outputs
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We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.