Haplotype and isoform specific expression estimation using multi-mapping RNA-seq reads

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作者
Ernest Turro
Shu-Yi Su
Ângela Gonçalves
Lachlan JM Coin
Sylvia Richardson
Alex Lewin
机构
[1] Imperial College London,Department of Epidemiology and Biostatistics
[2] University of California,Ernest Gallo Clinic and Research Center, Department of Bioinformatics
[3] San Francisco,undefined
[4] European Bioinformatics Institute (EMBL-EBI),undefined
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关键词
Expectation Maximization; Allelic Imbalance; Expression Estimate; Cassette Exon; Diploid Organism;
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摘要
We present a novel pipeline and methodology for simultaneously estimating isoform expression and allelic imbalance in diploid organisms using RNA-seq data. We achieve this by modeling the expression of haplotype-specific isoforms. If unknown, the two parental isoform sequences can be individually reconstructed. A new statistical method, MMSEQ, deconvolves the mapping of reads to multiple transcripts (isoforms or haplotype-specific isoforms). Our software can take into account non-uniform read generation and works with paired-end reads.
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