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GraphDNA:一款用于DNA组成分析图形显示的Java程序。

GraphDNA: a Java program for graphical display of DNA composition analyses.

作者信息

Thomas Jamie M, Horspool Daniel, Brown Gordon, Tcherepanov Vasily, Upton Chris

机构信息

Department of Microbiology and Biochemistry, University of Victoria, Victoria, BC, V8W 3P6, Canada.

出版信息

BMC Bioinformatics. 2007 Jan 23;8:21. doi: 10.1186/1471-2105-8-21.

Abstract

BACKGROUND

Under conditions of no strand bias the number of Gs is equal to that of Cs for each DNA strand; similarly, the total number of Ts is equal to that of As. However, within each strand there are considerable local deviations from the A = T and G = C equality. These asymmetries in nucleotide composition have been extensively analyzed in prokaryotic and eukaryotic genomes and related to chromosome organization, transcription orientation and other processes in certain organisms. To carry out analysis of intra-strand nucleotide distribution several graphical methods have been developed.

RESULTS

GraphDNA is a new Java application that provides a simple, user-friendly interface for the visualization of DNA nucleotide composition. The program accepts GenBank, EMBL and FASTA files as an input, and it displays multiple DNA nucleotide composition graphs (skews and walks) in a single window to allow direct comparisons between the sequences. We illustrate the use of DNA skews for characterization of poxvirus and coronavirus genomes.

CONCLUSION

GraphDNA is a platform-independent, Open Source, tool for the analysis of nucleotide trends in DNA sequences. Multiple sequence formats can be read and multiple sequences may be plotted in a single results window.

摘要

背景

在不存在链偏好的情况下,每条DNA链中G的数量与C的数量相等;同样,T的总数与A的总数相等。然而,在每条链内,A=T和G=C的等式存在相当大的局部偏差。核苷酸组成中的这些不对称性已在原核生物和真核生物基因组中得到广泛分析,并与某些生物体中的染色体组织、转录方向和其他过程相关。为了进行链内核苷酸分布分析,已经开发了几种图形方法。

结果

GraphDNA是一个新的Java应用程序,它为DNA核苷酸组成的可视化提供了一个简单、用户友好的界面。该程序接受GenBank、EMBL和FASTA文件作为输入,并在单个窗口中显示多个DNA核苷酸组成图(偏差和走势),以便对序列进行直接比较。我们举例说明了使用DNA偏差来表征痘病毒和冠状病毒基因组。

结论

GraphDNA是一个独立于平台的开源工具,用于分析DNA序列中的核苷酸趋势。它可以读取多种序列格式,并可在单个结果窗口中绘制多个序列。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ed3/1783863/a212de439ffa/1471-2105-8-21-1.jpg

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