DocumentCode :
2767894
Title :
iQuant: A fast yet accurate GUI tool for transcript quantification
Author :
Nguyen, Tin Chi ; Deng, Nan ; Xu, Guorong ; Duan, Zhansheng ; Zhu, Dongxiao
Author_Institution :
Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA
fYear :
2011
fDate :
12-15 Nov. 2011
Firstpage :
1048
Lastpage :
1050
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/.
Keywords :
RNA; bioinformatics; biological techniques; data handling; graphical user interfaces; molecular biophysics; statistical analysis; GUI tool; RNA-seq; fasta format; fastq format; iQuant; statistical model; transcript abundance output; transcript quantification algorithm; transcriptomics research; Accuracy; Bioinformatics; Gene expression; Genomics; Graphical user interfaces; Mathematical model; Vectors; GUI; RNA-seq; Transcriptome quantification; alternative splicing; constrained least square;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4577-1612-6
Type :
conf
DOI :
10.1109/BIBMW.2011.6112556
Filename :
6112556
Link To Document :
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