| Chapter title |
An Assessment of the Next Generation of Animal miRNA Target Prediction Algorithms
|
|---|---|
| Chapter number | 13 |
| Book title |
MicroRNA Detection and Target Identification
|
| Published in |
Methods in molecular biology, April 2017
|
| DOI | 10.1007/978-1-4939-6866-4_13 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6864-0, 978-1-4939-6866-4
|
| Authors |
Thomas Bradley, Simon Moxon, Bradley, Thomas, Moxon, Simon |
| Editors |
Tamas Dalmay |
| Abstract |
The advent of genome-wide next-generation sequencing technologies has revolutionized the genomic and transcriptomic fields. New technologies also present an opportunity for greater discovery and understanding of post-transcriptional processes, in particular, translational inhibition of transcripts by miRBP (microRNA-RNA binding protein) complexes. Not only have novel methodologies been developed for the direct sequencing of RBP-bound RNA, but a new class of miRNA (microRNA) target prediction algorithms trained on this data has emerged. In this article, we will explore and evaluate the next generation of animal miRNA target prediction algorithms, their relationship to more traditional prediction methods, and the implications of such methodologies for the future of miRNA target prediction and miRNA research as a whole. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 17% |
| Researcher | 2 | 17% |
| Professor | 1 | 8% |
| Lecturer | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 4 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 50% |
| Agricultural and Biological Sciences | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 4 | 33% |