Nair T Murlidharan
Departments of Biological Sciences, Computer Science/Informatics, Indiana University South Bend, Bloomington, IN, USA.
Methods Mol Biol. 2012;802:113-21. doi: 10.1007/978-1-61779-400-1_8.
There is a high prevalence of alternatively spliced genes (isoforms) in the human genome. Studies toward understanding aberrantly spliced genes and their association with diseases have lead researchers to profile the expression of alternatively spliced products. High-throughput profiling of isoforms has been done using microarray technology. Expression of isoforms reflects regulation both at transcriptional and posttranscriptional levels. This chapter details the methods to perform exhaustive comparison of isoforms using the R statistical framework.
人类基因组中可变剪接基因（异构体）的发生率很高。旨在了解异常剪接基因及其与疾病关联的研究促使研究人员对可变剪接产物的表达进行分析。异构体的高通量分析已通过微阵列技术完成。异构体的表达反映了转录和转录后水平的调控。本章详细介绍了使用R统计框架对异构体进行详尽比较的方法。
