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Targeted transcriptome analysis using synthetic long read sequencing uncovers isoform reprograming in the progression of colon cancer
oleh: Silvia Liu, Indira Wu, Yan-Ping Yu, Michael Balamotis, Baoguo Ren, Tuval Ben Yehezkel, Jian-Hua Luo
Format: | Article |
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Diterbitkan: | Nature Portfolio 2021-04-01 |
Deskripsi
Silvia Liu et al. present LoopSeq, a synthetic long-read sequencing method that generates accurate long-read transcriptome data from short Illumina reads. As an example of possible applications, they use LoopSeq to investigate differential isoform expression, isoform-specific single nucleotide variants, and potential fusion genes in multiple stages of colon cancer. Altogether, LoopSeq is a valuable method for analyzing complex transcriptomes and investigating gene expression at the isoform level.