دورية أكاديمية
The identification of switch-like alternative splicing exons among multiple samples with RNA-Seq data.
| العنوان: | The identification of switch-like alternative splicing exons among multiple samples with RNA-Seq data. |
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| المؤلفون: | Zhiyi Qin, Xuegong Zhang |
| المصدر: | PLoS ONE, Vol 12, Iss 5, p e0178320 (2017) |
| بيانات النشر: | Public Library of Science (PLoS), 2017. |
| سنة النشر: | 2017 |
| المجموعة: | LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | Medicine, Science |
| الوصف: | Alternative splicing is an ubiquitous phenomenon in most human genes and has important functions. The switch-like exon is the type of exon that has a high level of usage in some tissues, but has a low level of usage in the other tissues. They usually undergo strong tissue-specific regulations. There is still a lack a systematic method to identify switch-like exons from multiple RNA-seq samples. We proposed a novel method called iterative Tertile Absolute Deviation around the mode (iTAD) to profile the distribution of exon relative usages among multiple samples and to identify switch-like exons and other types of exons using a robust statistic estimator. We validated the method with simulation data, and applied it on RNA-seq data of 16 human body tissues and detected 3,100 switch-like exons. We found that switch-like exons tend to be more associated with Alu elements in their flanking intron regions than other types of exons. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1932-6203 |
| Relation: | http://europepmc.org/articles/PMC5444801?pdf=render; https://doaj.org/toc/1932-6203 |
| DOI: | 10.1371/journal.pone.0178320 |
| URL الوصول: | https://doaj.org/article/ba6abb476d18463a9aba536288e93072 |
| رقم الأكسشن: | edsdoj.ba6abb476d18463a9aba536288e93072 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 19326203 |
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| DOI: | 10.1371/journal.pone.0178320 |