Measuring differential gene expression with RNA-seq: challenges and strategies for data analysis
Measuring differential gene expression with RNA-seq: challenges and strategies for data analysis
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DOI：
10.1093/bfgp/elu035
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发表时间：
2015-03-01
影响因子：
4
通讯作者：
Di Camillo, Barbara
中科院分区：
文献类型：
--
作者：
Finotello, Francesca;Di Camillo, Barbara
RNA-seq是一种基于下一代测序的RNA分析方法，能够以前所未有的分辨率测量和比较基因表达模式。虽然这项技术的吸引人的特点促进了其在广泛的转录组学研究中的应用，但实验方案和计算工具的快速发展性质对统一RNA-seq分析管道的定义提出了挑战。在这篇综述中，我们重点介绍了利用RNA-seq研究差异基因表达的方法，介绍了数据处理的主要步骤，并讨论了面临的挑战和可能的解决方案。
RNA-seq is a methodology for RNA profiling based on next-generation sequencing that enables to measure and compare gene expression patterns at unprecedented resolution. Although the appealing features of this technique have promoted its application to a wide panel of transcriptomics studies, the fast-evolving nature of experimental protocols and computational tools challenges the definition of a unified RNA-seq analysis pipeline. In this review, focused on the study of differential gene expression with RNA-seq, we go through themain steps of data processing and discuss open challenges and possible solutions.