Statistical and Computational Methods for High-Throughput Sequencing Data Analysis of Alternative Splicing.
Statistical and Computational Methods for High-Throughput Sequencing Data Analysis of Alternative Splicing.
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DOI：
10.1007/s12561-012-9064-7
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发表时间：
2013-05-01
影响因子：
1
通讯作者：
Chen, Liang
中科院分区：
文献类型：
--
作者：
Chen, Liang
新兴的高通量测序领域显著提高了我们理解转录组复杂性的能力。选择性剪接作为转录组多样性最重要的驱动力之一，现在可以以前所未有的分辨率进行研究。迫切需要高效、强大的计算和统计方法来促进选择性剪接事件的表征和量化。在这里，我们讨论了剪接连接读取映射的方法，以及以外显子为中心或以异构体为中心的选择性剪接的量化方法。此外，我们还讨论了HITS-CLIP和剪接QTL分析，这是一种新的基于高通量测序的剪接调控解剖方法。
The burgeoning field of high-throughput sequencing significantly improves our ability to understand the complexity of transcriptomes. Alternative splicing, as one of the most important driving forces for transcriptome diversity, can now be studied at an unprecedent resolution. Efficient and powerful computational and statistical methods are in urgent need to facilitate the characterization and quantification of alternative splicing events. Here we discuss methods in splice junction read mapping, and methods in exon-centric or isoform-centric quantification of alternative splicing. In addition, we discuss HITS-CLIP and splicing QTL analyses which are novel high-throughput sequencing based approaches in the dissection of splicing regulation.