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Mendeley readers
Title |
A base composition analysis of natural patterns for the preprocessing of metagenome sequences
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Published in |
BMC Bioinformatics, November 2013
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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. |
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% |