iQuant: A fast yet accurate GUI tool for transcript quantification

Tin Chi Nguyen, N. Deng, Guorong Xu, Z. Duan, D. Zhu
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引用次数: 5

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/.
iQuant:一个快速而准确的GUI工具,用于转录量化
使用RNA-seq进行转录量化是当代和未来转录组学研究的核心。现有的工具很有用,但还有很大的改进空间。我们提出了一个新的统计模型,一个快速而准确的转录量化算法。我们的工具将fasta或fastq格式的RNA-seq读取作为输入和输出转录本丰度,只需点击几下鼠标。我们的方法在时间复杂度和准确性方面都优于现有的GUI工具。可用性:用于方法比较的模拟数据和GUI工具都可以在http://asammate.sourceforge.net/上免费获得。
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