| Title |
Current approaches to micro-RNA analysis and target gene prediction
|
|---|---|
| Published in |
Journal of Applied Genetics, September 2011
|
| DOI | 10.1007/s13353-011-0060-2 |
| Pubmed ID | |
| Authors |
Tenzin W. Lhakhang, M. Ahmad Chaudhry |
| Abstract |
It is becoming increasingly evident that micro-RNAs (miRNA) play a significant role in regulating the cellular machinery. These ∼22-nt non-coding RNAs function as negative regulators of gene expression. Since their discovery, considerable information has been obtained on miRNA biology and the mechanism of their action. Guidelines have been established for miRNA nomenclature and databases have been built to house all miRNA from many species. A number of methodologies are available for miRNA analysis. There is a lot of interest in developing bioinformatics approaches to predict miRNA target genes. This article will bring together the information on our current knowledge of miRNA biology, the approaches for miRNA analysis, and computational strategies to gain insight in miRNA functional roles. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 2 | 3% |
| India | 1 | 2% |
| Netherlands | 1 | 2% |
| United States | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 57 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 30% |
| Researcher | 15 | 24% |
| Student > Master | 7 | 11% |
| Professor > Associate Professor | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 9 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 33% |
| Biochemistry, Genetics and Molecular Biology | 13 | 21% |
| Medicine and Dentistry | 10 | 16% |
| Computer Science | 6 | 10% |
| Nursing and Health Professions | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 9 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 September 2011.
All research outputs
#18,295,723
of 22,651,245 outputs
Outputs from Journal of Applied Genetics
#246
of 390 outputs
Outputs of similar age
#103,203
of 125,074 outputs
Outputs of similar age from Journal of Applied Genetics
#5
of 5 outputs
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