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IQuant: A fast yet accurate GUI tool for transcript quantification

  • Wayne State University
  • University of New Orleans

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Transcript quantification using RNA-seq is central to contemporary and future transcriptomics research. The existing tools are useful but have much room for improvement. We present a new statistical model, a fast yet accurate transcript quantification algorithm. Our tool takes RNA-seq reads in fasta or fastq format as input and output transcript abundance through a few mouse clicks. Our method compares favorably with the existing GUI tools in terms of both time complexity and accuracy. Availability: Both simulation data used for method comparisons and the GUI tool are freely available at http://asammate. sourceforge.net/.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
Pages1048-1050
Number of pages3
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 IEEE International Conference onBioinformatics and Biomedicine Workshops, BIBMW 2011 - Atlanta, GA, United States
Duration: 12 Nov 2011 → 15 Nov 2011

Publication series

Name2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011

Conference

Conference2011 IEEE International Conference onBioinformatics and Biomedicine Workshops, BIBMW 2011
Country/TerritoryUnited States
CityAtlanta, GA
Period12/11/11 → 15/11/11

Keywords

  • GUI
  • RNA-seq
  • Transcriptome quantification
  • alternative splicing
  • constrained least square

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