{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Zhao K"],"funding":["NHLBI NIH HHS","NIGMS NIH HHS"],"pagination":["R74"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4054007"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14(7)"],"pubmed_abstract":["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."],"journal":["Genome biology"],"pubmed_title":["GLiMMPS: robust statistical model for regulatory variation of alternative splicing using RNA-seq data."],"pmcid":["PMC4054007"],"funding_grant_id":["R01GM088342","R01 GM088342","T32HL007638"],"pubmed_authors":["Lu ZX","Park JW","Zhou Q","Xing Y","Zhao K"],"additional_accession":[]},"is_claimable":false,"name":"GLiMMPS: robust statistical model for regulatory variation of alternative splicing using RNA-seq data.","description":"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.","dates":{"release":"2013-01-01T00:00:00Z","publication":"2013 Jul","modification":"2026-05-02T12:00:37.155Z","creation":"2026-04-29T03:08:31.216Z"},"accession":"S-EPMC4054007","cross_references":{"pubmed":["23876401"],"doi":["10.1186/gb-2013-14-7-r74"]}}