RNA-Seq gene expression estimation with read mapping uncertainty

@inproceedings{Li2010RNASeqGE,
  title={RNA-Seq gene expression estimation with read mapping uncertainty},
  author={Bo Li and Victor Ruotti and Ron M. Stewart and James A. Thomson and Colin N. Dewey},
  booktitle={Bioinformatics},
  year={2010}
}
MOTIVATION RNA-Seq is a promising new technology for accurately measuring gene expression levels. Expression estimation with RNA-Seq requires the mapping of relatively short sequencing reads to a reference genome or transcript set. Because reads are generally shorter than transcripts from which they are derived, a single read may map to multiple genes and isoforms, complicating expression analyses. Previous computational methods either discard reads that map to multiple locations or allocate… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 11 REFERENCES

cDNA and massively parallel short-read sequencing

  • A Mortazavi
  • 2008
Highly Influential
7 Excerpts

refines surveys of transcriptional activity by CAGE

  • F Hsu
  • The UCSC known genes. Bioinformatics,
  • 2006

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