完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.author | Hsu, Min-Kung | en_US |
| dc.contributor.author | Lin, Hsuan-Yu | en_US |
| dc.contributor.author | Chen, Feng-Chi | en_US |
| dc.date.accessioned | 2018-08-21T05:53:56Z | - |
| dc.date.available | 2018-08-21T05:53:56Z | - |
| dc.date.issued | 2017-04-03 | en_US |
| dc.identifier.issn | 1932-6203 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1371/journal.pone.0174798 | en_US |
| dc.identifier.uri | http://hdl.handle.net/11536/145370 | - |
| dc.description.abstract | Nonsense-mediated decay (NMD) degrades mRNAs that include premature termination codons to avoid the translation and accumulation of truncated proteins. This mechanism has been found to participate in gene regulation and a wide spectrum of biological processes. However, the evolutionary and regulatory origins of NMD-targeted transcripts (NMDTs) have been less studied, partly because of the complexity in analyzing NMD events. Here we report NMD Classifier, a tool for systematic classification of NMD events for either annotated or de novo assembled transcripts. This tool is based on the assumption of minimal evolution/regulation-an event that leads to the least change is the most likely to occur. Our simulation results indicate that NMD Classifier can correctly identify an average of 99.3% of the NMD-causing transcript structural changes, particularly exon inclusions/exclusions and exon boundary alterations. Researchers can apply NMD Classifier to evolutionary and regulatory studies by comparing NMD events of different biological conditions or in different organisms. | en_US |
| dc.language.iso | en_US | en_US |
| dc.title | NMD Classifier: A reliable and systematic classification tool for nonsense-mediated decay events | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | 10.1371/journal.pone.0174798 | en_US |
| dc.identifier.journal | PLOS ONE | en_US |
| dc.citation.volume | 12 | en_US |
| dc.contributor.department | 生物科技學系 | zh_TW |
| dc.contributor.department | Department of Biological Science and Technology | en_US |
| dc.identifier.wosnumber | WOS:000399351000045 | en_US |
| 顯示於類別: | 期刊論文 | |

