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IPM
30
YEARS OLD

“School of Biological Sciences”

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Paper   IPM / Biological Sciences / 13154
School of Biological Sciences
  Title:   SSP: An interval integer linear programming for de novo transcriptome assembly and isoform discovery of RNA-seq reads
  Author(s): 
1.  Z. Safikhani.
2.  M. Sadeghi.
3.  H. Pezeshk.
4.  C. Eslahchi.
  Status:   Published
  Journal: Genomics
  No.:  5
  Vol.:  102
  Year:  2013
  Pages:   507-514
  Supported by:  IPM
  Abstract:
Recent advances in the sequencing technologies have provided a handful of RNA-seq datasets for transcriptome analysis. However, reconstruction of full-length isoforms and estimation of the expression level of transcripts with a low cost are challenging tasks. We propose a novel de novo method named SSP that incorporates interval integer linear programming to resolve alternatively spliced isoforms and reconstruct the whole transcriptome from short reads. Experimental results show that SSP is fast and precise in determining different alternatively spliced isoforms along with the estimation of reconstructed transcript abundances. The SSP software package is available at http://www.bioinf.cs.ipm.ir/software/ssp.

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