| Chapter title |
RNA Processing
|
|---|---|
| Chapter number | 1 |
| Book title |
RNA Processing
|
| Published in |
Advances in experimental medicine and biology, January 2016
|
| DOI | 10.1007/978-3-319-29073-7_1 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-929071-3, 978-3-31-929073-7
|
| Authors |
Van Nostrand, Eric L, Huelga, Stephanie C, Yeo, Gene W, Eric L. Van Nostrand, Stephanie C. Huelga, Gene W. Yeo, Nostrand, Eric L. Van, Huelga, Stephanie C., Yeo, Gene W. |
| Abstract |
After an RNA is transcribed, it undergoes a variety of processing steps that can change the encoded protein sequence (through alternative splicing and RNA editing), regulate the stability of the RNA, and control subcellular localization, timing, and rate of translation. The recent explosion in genomics techniques has enabled transcriptome-wide profiling of RNA processing in an unbiased manner. However, it has also brought with it both experimental challenges in developing improved methods to probe distinct processing steps, as well as computational challenges in data storage, processing, and analysis tools to enable large-scale interpretation in the genomics era. In this chapter we review experimental techniques and challenges in profiling various aspects of RNA processing, as well as recent efforts to develop analyses integrating multiple data sources and techniques to infer RNA regulatory networks. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 3% |
| Unknown | 36 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 22% |
| Researcher | 6 | 16% |
| Student > Postgraduate | 3 | 8% |
| Student > Master | 3 | 8% |
| Professor | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 10 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 35% |
| Agricultural and Biological Sciences | 10 | 27% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Computer Science | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 27% |