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Mendeley readers
| Title |
Methods for high-throughput MethylCap-Seq data analysis
|
|---|---|
| Published in |
BMC Genomics, October 2012
|
| DOI | 10.1186/1471-2164-13-s6-s14 |
| Pubmed ID | |
| Authors |
Benjamin AT Rodriguez, David Frankhouser, Mark Murphy, Michael Trimarchi, Hok-Hei Tam, John Curfman, Rita Huang, Michael WY Chan, Hung-Cheng Lai, Deval Parikh, Bryan Ball, Sebastian Schwind, William Blum, Guido Marcucci, Pearlly Yan, Ralf Bundschuh |
| Abstract |
Advances in whole genome profiling have revolutionized the cancer research field, but at the same time have raised new bioinformatics challenges. For next generation sequencing (NGS), these include data storage, computational costs, sequence processing and alignment, delineating appropriate statistical measures, and data visualization. Currently there is a lack of workflows for efficient analysis of large, MethylCap-seq datasets containing multiple sample groups. |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 1% |
| Turkey | 1 | 1% |
| Brazil | 1 | 1% |
| United Kingdom | 1 | 1% |
| Iran, Islamic Republic of | 1 | 1% |
| Greece | 1 | 1% |
| Luxembourg | 1 | 1% |
| Unknown | 62 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 36% |
| Student > Ph. D. Student | 9 | 13% |
| Professor > Associate Professor | 7 | 10% |
| Student > Bachelor | 6 | 9% |
| Student > Master | 5 | 7% |
| Other | 9 | 13% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 43% |
| Biochemistry, Genetics and Molecular Biology | 9 | 13% |
| Medicine and Dentistry | 7 | 10% |
| Neuroscience | 4 | 6% |
| Engineering | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 10 | 14% |