| Chapter title |
Gene Expression Analysis in the Age of Mass Sequencing: An Introduction.
|
|---|---|
| Chapter number | 4 |
| Book title |
Cancer Gene Profiling
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3204-7_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3203-0, 978-1-4939-3204-7
|
| Authors |
Christian Pilarsky Ph.D., Lahiri Kanth Nanduri, Janine Roy, Christian Pilarsky |
| Editors |
Robert Grützmann, Christian Pilarsky |
| Abstract |
During the last years the technology used for gene expression analysis has changed dramatically. The old mainstay, DNA microarray, has served its due course and will soon be replaced by next-generation sequencing (NGS), the Swiss army knife of modern high-throughput nucleic acid-based analysis. Therefore preparation technologies have to adapt to suit the emerging NGS technology platform. Moreover, interpretation of the results is still time consuming and employs the use of high-end computers usually not found in molecular biology laboratories. Alternatively, cloud computing might solve this problem. Nevertheless, these new challenges have to be embraced for gene expression analysis in general. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 1 | 20% |
| Researcher | 1 | 20% |
| Lecturer | 1 | 20% |
| Student > Doctoral Student | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 20% |
| Biochemistry, Genetics and Molecular Biology | 1 | 20% |
| Computer Science | 1 | 20% |
| Chemistry | 1 | 20% |
| Unknown | 1 | 20% |