VerdAscend Sciences, West Linn, OR 97068, USA.
Bioinformatics. 2011 Jan 15;27(2):272-4. doi: 10.1093/bioinformatics/btq640. Epub 2010 Nov 12.
Quantification applications of short-tag sequencing data (such as CNVseq and RNAseq) depend on knowing the uniqueness of specific genomic regions at a given threshold of error. Here, we present the 'uniqueome', a genomic resource for understanding the uniquely mappable proportion of genomic sequences. Pre-computed data are available for human, mouse, fly and worm genomes in both color-space and nucletotide-space, and we demonstrate the utility of this resource as applied to the quantification of RNAseq data.
Files, scripts and supplementary data are available from http://grimmond.imb.uq.edu.au/uniqueome/; the ISAS uniqueome aligner is freely available from http://www.imagenix.com/.
短标签测序数据（如 CNVseq 和 RNAseq）的定量应用依赖于在给定错误阈值下了解特定基因组区域的独特性。在这里，我们提出了“独特基因组”，这是一个基因组资源，用于了解基因组序列中可唯一映射的比例。在颜色空间和核碱基空间中，都为人类、老鼠、苍蝇和蠕虫基因组提供了预先计算的数据，并且我们展示了该资源在 RNAseq 数据定量中的应用。
文件、脚本和补充数据可从 http://grimmond.imb.uq.edu.au/uniqueome/ 获得；ISAS 独特基因组定位器可从 http://www.imagenix.com/ 免费获得。
