Title |
Introducing W.A.T.E.R.S.: a Workflow for the Alignment, Taxonomy, and Ecology of Ribosomal Sequences
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Published in |
BMC Bioinformatics, June 2010
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DOI | 10.1186/1471-2105-11-317 |
Pubmed ID | |
Authors |
Amber L Hartman, Sean Riddle, Timothy McPhillips, Bertram Ludäscher, Jonathan A Eisen |
Abstract |
For more than two decades microbiologists have used a highly conserved microbial gene as a phylogenetic marker for bacteria and archaea. The small-subunit ribosomal RNA gene, also known as 16 S rRNA, is encoded by ribosomal DNA, 16 S rDNA, and has provided a powerful comparative tool to microbial ecologists. Over time, the microbial ecology field has matured from small-scale studies in a select number of environments to massive collections of sequence data that are paired with dozens of corresponding collection variables. As the complexity of data and tool sets have grown, the need for flexible automation and maintenance of the core processes of 16 S rDNA sequence analysis has increased correspondingly. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 17% |
United States | 1 | 17% |
Cameroon | 1 | 17% |
Panama | 1 | 17% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 2 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 18 | 10% |
Brazil | 6 | 3% |
Canada | 4 | 2% |
France | 3 | 2% |
Australia | 2 | 1% |
Mexico | 2 | 1% |
United Kingdom | 2 | 1% |
Sweden | 2 | 1% |
Germany | 1 | <1% |
Other | 11 | 6% |
Unknown | 136 | 73% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 62 | 33% |
Student > Ph. D. Student | 34 | 18% |
Professor > Associate Professor | 16 | 9% |
Professor | 16 | 9% |
Student > Master | 14 | 7% |
Other | 31 | 17% |
Unknown | 14 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 112 | 60% |
Biochemistry, Genetics and Molecular Biology | 16 | 9% |
Computer Science | 13 | 7% |
Environmental Science | 9 | 5% |
Immunology and Microbiology | 4 | 2% |
Other | 13 | 7% |
Unknown | 20 | 11% |