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Mendeley readers
| Title |
An experimental metagenome data management and analysis system
|
|---|---|
| Published in |
Bioinformatics, July 2006
|
| DOI | 10.1093/bioinformatics/btl217 |
| Pubmed ID | |
| Authors |
Victor M. Markowitz, Natalia Ivanova, Krishna Palaniappan, Ernest Szeto, Frank Korzeniewski, Athanasios Lykidis, Iain Anderson, Konstantinos Mavrommatis, Victor Kunin, Hector Garcia Martin, Inna Dubchak, Phil Hugenholtz, Nikos C. Kyrpides |
| Abstract |
The application of shotgun sequencing to environmental samples has revealed a new universe of microbial community genomes (metagenomes) involving previously uncultured organisms. Metagenome analysis, which is expected to provide a comprehensive picture of the gene functions and metabolic capacity for microbial communities, needs to be conducted in the context of a comprehensive data management and analysis system. We present in this paper IMG/M, an experimental metagenome data management and analysis system that is based on the Integrated Microbial Genomes (IMG) system. IMG/M provides tools and viewers for analyzing both metagenomes and isolate genomes individually or in a comparative context. IMG/M is available at http://img.jgi.doe.gov/m. |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 5% |
| France | 3 | 2% |
| Japan | 3 | 2% |
| Sweden | 3 | 2% |
| Brazil | 3 | 2% |
| Canada | 2 | 1% |
| Germany | 2 | 1% |
| Italy | 2 | 1% |
| India | 1 | <1% |
| Other | 9 | 7% |
| Unknown | 101 | 74% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 39 | 29% |
| Student > Ph. D. Student | 33 | 24% |
| Student > Master | 17 | 13% |
| Professor > Associate Professor | 16 | 12% |
| Student > Doctoral Student | 6 | 4% |
| Other | 17 | 13% |
| Unknown | 8 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 97 | 71% |
| Biochemistry, Genetics and Molecular Biology | 10 | 7% |
| Medicine and Dentistry | 6 | 4% |
| Environmental Science | 2 | 1% |
| Computer Science | 2 | 1% |
| Other | 9 | 7% |
| Unknown | 10 | 7% |