| Title |
IMG/M-HMP: A Metagenome Comparative Analysis System for the Human Microbiome Project
|
|---|---|
| Published in |
PLOS ONE, July 2012
|
| DOI | 10.1371/journal.pone.0040151 |
| Pubmed ID | |
| Authors |
Victor M. Markowitz, I-Min A. Chen, Ken Chu, Ernest Szeto, Krishna Palaniappan, Biju Jacob, Anna Ratner, Konstantinos Liolios, Ioanna Pagani, Marcel Huntemann, Konstantinos Mavromatis, Natalia N. Ivanova, Nikos C. Kyrpides |
| Abstract |
The Integrated Microbial Genomes and Metagenomes (IMG/M) resource is a data management system that supports the analysis of sequence data from microbial communities in the integrated context of all publicly available draft and complete genomes from the three domains of life as well as a large number of plasmids and viruses. IMG/M currently contains thousands of genomes and metagenome samples with billions of genes. IMG/M-HMP is an IMG/M data mart serving the US National Institutes of Health (NIH) Human Microbiome Project (HMP), focussed on HMP generated metagenome datasets, and is one of the central resources provided from the HMP Data Analysis and Coordination Center (DACC). IMG/M-HMP is available at http://www.hmpdacc-resources.org/imgm_hmp/. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 40% |
| Sweden | 1 | 10% |
| France | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 9% |
| Brazil | 3 | 3% |
| Canada | 2 | 2% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 92 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 25% |
| Researcher | 26 | 24% |
| Student > Master | 10 | 9% |
| Professor > Associate Professor | 8 | 7% |
| Professor | 7 | 6% |
| Other | 21 | 19% |
| Unknown | 10 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 58 | 53% |
| Biochemistry, Genetics and Molecular Biology | 12 | 11% |
| Medicine and Dentistry | 6 | 5% |
| Immunology and Microbiology | 5 | 5% |
| Computer Science | 4 | 4% |
| Other | 10 | 9% |
| Unknown | 15 | 14% |