Title |
Methods for comparative metagenomics
|
---|---|
Published in |
BMC Bioinformatics, January 2009
|
DOI | 10.1186/1471-2105-10-s1-s12 |
Pubmed ID | |
Authors |
Daniel H Huson, Daniel C Richter, Suparna Mitra, Alexander F Auch, Stephan C Schuster |
Abstract |
Metagenomics is a rapidly growing field of research that aims at studying uncultured organisms to understand the true diversity of microbes, their functions, cooperation and evolution, in environments such as soil, water, ancient remains of animals, or the digestive system of animals and humans. The recent development of ultra-high throughput sequencing technologies, which do not require cloning or PCR amplification, and can produce huge numbers of DNA reads at an affordable cost, has boosted the number and scope of metagenomic sequencing projects. Increasingly, there is a need for new ways of comparing multiple metagenomics datasets, and for fast and user-friendly implementations of such approaches. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Denmark | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 15 | 3% |
Brazil | 14 | 3% |
United Kingdom | 6 | 1% |
Sweden | 4 | <1% |
Canada | 4 | <1% |
India | 4 | <1% |
Australia | 3 | <1% |
France | 3 | <1% |
Spain | 3 | <1% |
Other | 19 | 4% |
Unknown | 430 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 149 | 30% |
Researcher | 121 | 24% |
Student > Master | 67 | 13% |
Student > Bachelor | 34 | 7% |
Student > Doctoral Student | 26 | 5% |
Other | 87 | 17% |
Unknown | 21 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 326 | 65% |
Biochemistry, Genetics and Molecular Biology | 44 | 9% |
Computer Science | 37 | 7% |
Environmental Science | 26 | 5% |
Medicine and Dentistry | 11 | 2% |
Other | 32 | 6% |
Unknown | 29 | 6% |