| Title |
Read Length and Repeat Resolution: Exploring Prokaryote Genomes Using Next-Generation Sequencing Technologies
|
|---|---|
| Published in |
PLOS ONE, July 2010
|
| DOI | 10.1371/journal.pone.0011518 |
| Pubmed ID | |
| Authors |
Matt J. Cahill, Claudio U. Köser, Nicholas E. Ross, John A. C. Archer |
| Abstract |
There are a growing number of next-generation sequencing technologies. At present, the most cost-effective options also produce the shortest reads. However, even for prokaryotes, there is uncertainty concerning the utility of these technologies for the de novo assembly of complete genomes. This reflects an expectation that short reads will be unable to resolve small, but presumably abundant, repeats. |
X Demographics
The data shown below were collected from the profiles of 9 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 | 3 | 33% |
| Australia | 1 | 11% |
| United Kingdom | 1 | 11% |
| Canada | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 78% |
| Members of the public | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 4% |
| Brazil | 3 | 2% |
| Norway | 2 | 2% |
| France | 1 | <1% |
| Hong Kong | 1 | <1% |
| Australia | 1 | <1% |
| Italy | 1 | <1% |
| Sweden | 1 | <1% |
| Argentina | 1 | <1% |
| Other | 6 | 5% |
| Unknown | 110 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 48 | 36% |
| Student > Ph. D. Student | 26 | 20% |
| Student > Master | 13 | 10% |
| Professor > Associate Professor | 11 | 8% |
| Professor | 7 | 5% |
| Other | 20 | 15% |
| Unknown | 7 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 90 | 68% |
| Biochemistry, Genetics and Molecular Biology | 15 | 11% |
| Computer Science | 5 | 4% |
| Immunology and Microbiology | 4 | 3% |
| Engineering | 3 | 2% |
| Other | 7 | 5% |
| Unknown | 8 | 6% |