期刊
GENOME BIOLOGY
卷 14, 期 7, 页码 -出版社
BMC
DOI: 10.1186/gb-2013-14-7-r74
关键词
RNA-seq; alternative splicing; sQTL; exon; generalized linear mixed model
资金
- NIH [R01GM088342]
- Burroughs Wellcome Fund grant [1008841.01]
- March of Dimes Foundation Basil O'Connor Starter Scholar Research Award [5-FY10-60]
- NIH T32 postdoctoral fellow training grant [T32HL007638]
To characterize the genetic variation of alternative splicing, we develop GLiMMPS, a robust statistical method for detecting splicing quantitative trait loci (sQTLs) from RNA-seq data. GLiMMPS takes into account the individual variation in sequencing coverage and the noise prevalent in RNA-seq data. Analyses of simulated and real RNA-seq datasets demonstrate that GLiMMPS outperforms competing statistical models. Quantitative RT-PCR tests of 26 randomly selected GLiMMPS sQTLs yielded a validation rate of 100%. As population-scale RNA-seq studies become increasingly affordable and popular, GLiMMPS provides a useful tool for elucidating the genetic variation of alternative splicing in humans and model organisms.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据