Title |
Unlocking the potential of metagenomics through replicated experimental design
|
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Published in |
Nature Biotechnology, June 2012
|
DOI | 10.1038/nbt.2235 |
Pubmed ID | |
Authors |
Rob Knight, Janet Jansson, Dawn Field, Noah Fierer, Narayan Desai, Jed A Fuhrman, Phil Hugenholtz, Daniel van der Lelie, Folker Meyer, Rick Stevens, Mark J Bailey, Jeffrey I Gordon, George A Kowalchuk, Jack A Gilbert |
Abstract |
Metagenomics holds enormous promise for discovering novel enzymes and organisms that are biomarkers or drivers of processes relevant to disease, industry and the environment. In the past two years, we have seen a paradigm shift in metagenomics to the application of cross-sectional and longitudinal studies enabled by advances in DNA sequencing and high-performance computing. These technologies now make it possible to broadly assess microbial diversity and function, allowing systematic investigation of the largely unexplored frontier of microbial life. To achieve this aim, the global scientific community must collaborate and agree upon common objectives and data standards to enable comparative research across the Earth's microbiome. Improvements in comparability of data will facilitate the study of biotechnologically relevant processes, such as bioprospecting for new glycoside hydrolases or identifying novel energy sources. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 4 | 33% |
United States | 3 | 25% |
Spain | 1 | 8% |
Unknown | 4 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 8 | 67% |
Members of the public | 4 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 44 | 5% |
Brazil | 7 | <1% |
United Kingdom | 6 | <1% |
Chile | 5 | <1% |
Germany | 4 | <1% |
Spain | 4 | <1% |
Denmark | 4 | <1% |
Canada | 4 | <1% |
Belgium | 3 | <1% |
Other | 25 | 3% |
Unknown | 788 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 233 | 26% |
Researcher | 217 | 24% |
Student > Master | 104 | 12% |
Student > Bachelor | 68 | 8% |
Student > Doctoral Student | 43 | 5% |
Other | 158 | 18% |
Unknown | 71 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 490 | 55% |
Biochemistry, Genetics and Molecular Biology | 104 | 12% |
Environmental Science | 64 | 7% |
Immunology and Microbiology | 24 | 3% |
Medicine and Dentistry | 23 | 3% |
Other | 87 | 10% |
Unknown | 102 | 11% |