Boyle Alan P, Guinney Justin, Crawford Gregory E, Furey Terrence S
Institute for Genome Sciences and Policy, Duke University, Durham, NC 27708, USA.
Bioinformatics. 2008 Nov 1;24(21):2537-8. doi: 10.1093/bioinformatics/btn480. Epub 2008 Sep 10.
Tag sequencing using high-throughput sequencing technologies are now regularly employed to identify specific sequence features, such as transcription factor binding sites (ChIP-seq) or regions of open chromatin (DNase-seq). To intuitively summarize and display individual sequence data as an accurate and interpretable signal, we developed F-Seq, a software package that generates a continuous tag sequence density estimation allowing identification of biologically meaningful sites whose output can be displayed directly in the UCSC Genome Browser.
The software is written in the Java language and is available on all major computing platforms for download at http://www.genome.duke.edu/labs/furey/software/fseq.
现在经常使用高通量测序技术进行标签测序,以识别特定的序列特征,如转录因子结合位点(ChIP-seq)或开放染色质区域(DNase-seq)。为了直观地总结和显示单个序列数据,使其成为准确且可解释的信号,我们开发了F-Seq,这是一个软件包,它能生成连续的标签序列密度估计值,从而可以识别具有生物学意义的位点,其输出结果可直接在UCSC基因组浏览器中显示。
该软件用Java语言编写,可在所有主流计算平台上通过以下网址下载:http://www.genome.duke.edu/labs/furey/software/fseq 。