TileQC: A system for tile-based quality control of Solexa data

被引:22
作者
Dolan, Peter C. [1 ]
Denver, Dee R.
机构
[1] Oregon State Univ, Dept Zool, Corvallis, OR 97331 USA
[2] Oregon State Univ, Ctr Genome Res & Biocomp, Corvallis, OR 97331 USA
基金
美国国家卫生研究院;
关键词
D O I
10.1186/1471-2105-9-250
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background: Next-generation DNA sequencing technologies such as Illumina's Solexa platform and Roche's 454 approach provide new avenues for investigating genome-scale questions. However, they also present novel analytical challenges that must be met for their effective application to biological questions. Results: Here we report the availability of tileQC, a tile-based quality control system for Solexa data written in the R language. TileQC provides a means of recognizing bias and error in Solexa output by graphically representing data generated by flow cell tiles. The data represented in the images is then made available in the R environment for further analysis and automation of error detection. Conclusion: TileQC offers a highly adaptable and powerful tool for the quality control of Solexa-based DNA sequence data.
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页数:10
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