Title |
EMIRGE: reconstruction of full-length ribosomal genes from microbial community short read sequencing data
|
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Published in |
Genome Biology, May 2011
|
DOI | 10.1186/gb-2011-12-5-r44 |
Pubmed ID | |
Authors |
Christopher S Miller, Brett J Baker, Brian C Thomas, Steven W Singer, Jillian F Banfield |
Abstract |
Recovery of ribosomal small subunit genes by assembly of short read community DNA sequence data generally fails, making taxonomic characterization difficult. Here, we solve this problem with a novel iterative method, based on the expectation maximization algorithm, that reconstructs full-length small subunit gene sequences and provides estimates of relative taxon abundances. We apply the method to natural and simulated microbial communities, and correctly recover community structure from known and previously unreported rRNA gene sequences. An implementation of the method is freely available at https://github.com/csmiller/EMIRGE. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 67% |
Members of the public | 2 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 24 | 5% |
United Kingdom | 6 | 1% |
Germany | 4 | <1% |
Sweden | 3 | <1% |
Italy | 2 | <1% |
Brazil | 2 | <1% |
Estonia | 2 | <1% |
Spain | 2 | <1% |
Korea, Republic of | 2 | <1% |
Other | 18 | 4% |
Unknown | 448 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 147 | 29% |
Researcher | 120 | 23% |
Student > Master | 55 | 11% |
Student > Bachelor | 32 | 6% |
Professor > Associate Professor | 23 | 4% |
Other | 82 | 16% |
Unknown | 54 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 257 | 50% |
Biochemistry, Genetics and Molecular Biology | 68 | 13% |
Environmental Science | 41 | 8% |
Computer Science | 22 | 4% |
Immunology and Microbiology | 19 | 4% |
Other | 41 | 8% |
Unknown | 65 | 13% |