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Mendeley readers
| Chapter title |
Transcriptome Sequencing: RNA-Seq
|
|---|---|
| Chapter number | 2 |
| Book title |
Computational Systems Biology
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7717-8_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7716-1, 978-1-4939-7717-8
|
| Authors |
Zhang, Hong, He, Lin, Cai, Lei, Hong Zhang, Lin He, Lei Cai |
| Abstract |
RNA sequencing (RNA-seq) can not only be used to identify the expression of common or rare transcripts but also in the identification of other abnormal events, such as alternative splicing, novel transcripts, and fusion genes. In principle, RNA-seq can be carried out by almost all of the next-generation sequencing (NGS) platforms, but the libraries of different platforms are not exactly the same; each platform has its own kit to meet the special requirements of the instrument design. |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 125 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 15% |
| Student > Bachelor | 19 | 15% |
| Student > Master | 17 | 14% |
| Researcher | 13 | 10% |
| Student > Doctoral Student | 9 | 7% |
| Other | 11 | 9% |
| Unknown | 37 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 43 | 34% |
| Agricultural and Biological Sciences | 18 | 14% |
| Medicine and Dentistry | 4 | 3% |
| Immunology and Microbiology | 3 | 2% |
| Computer Science | 2 | 2% |
| Other | 13 | 10% |
| Unknown | 42 | 34% |