You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
State of the art de novoassembly of human genomes from massively parallel sequencing data
|
|---|---|
| Published in |
Human Genomics, April 2010
|
| DOI | 10.1186/1479-7364-4-4-271 |
| Pubmed ID | |
| Authors |
Yingrui Li, Yujie Hu, Lars Bolund, Jun Wang |
| Abstract |
Recent studies in human genomes have demonstrated the use of de novo assemblies to identify genetic variations that are difficult for mapping-based approaches. Construction of multiple human genome assemblies is enabled by massively parallel sequencing, but a conventional bioinformatics solution is costly and slow, creating bottlenecks in the process. This review describes two public short-read de novo assembly applications that can handle human genomes, ABySS and SOAPdenovo. It also discusses the technical aspects and future challenges of human genome de novo assembly by short reads. |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 3% |
| France | 2 | 2% |
| United Kingdom | 2 | 2% |
| United States | 2 | 2% |
| Hong Kong | 1 | <1% |
| Brazil | 1 | <1% |
| New Zealand | 1 | <1% |
| Italy | 1 | <1% |
| Russia | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 92 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 25% |
| Researcher | 27 | 25% |
| Student > Master | 14 | 13% |
| Student > Bachelor | 7 | 7% |
| Student > Doctoral Student | 6 | 6% |
| Other | 19 | 18% |
| Unknown | 7 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 58% |
| Computer Science | 16 | 15% |
| Biochemistry, Genetics and Molecular Biology | 13 | 12% |
| Environmental Science | 3 | 3% |
| Chemistry | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 8 | 7% |