Ontology highlight
ABSTRACT:
SUBMITTER: Zhao K
PROVIDER: S-EPMC4054007 | biostudies-other | 2013 Jul
REPOSITORIES: biostudies-other
Zhao Keyan K Lu Zhi-xiang ZX Park Juw Won JW Zhou Qing Q Xing Yi Y
Genome biology 20130722 7
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 ...[more]