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Trapnell, C., et al. (2010) Transcript assembly and quan-tification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat Biotechnol, 28(5): p. 511-5.

has been cited by the following article:

• TITLE: Isoform Inference From RNA-Seq Samples Based on Gene Structures on Chromosomes

  AUTHORS: Yan Ji, Jia Wei

  KEYWORDS: RNA-Seq; isoform inference; cancer genes; Cufflinks; RSEM

  JOURNAL NAME: Journal of Biosciences and Medicines, Vol.1 No.1, February 6, 2013

  ABSTRACT: The emerging RNA-Seq technology makes it possible to infer splicing variants from millions of short sequence reads. Here we present a method to identify isoforms by their specific signatures on chromosomes including both exons and junctions. By applying this method to a RNA-Seq dataset of gastric cancer, we showed that our method is more accurate and sensitive than other isoform inference tools such as RSEM and Cufflinks. By constructing a network from gene list identified by our method but missed by other tools, we found that some cancer-related genes enriched in network modules have significant implications for cancer drug discovery.