Campanella James J, Bitincka Ledion, Smalley John
Montclair State University, Department of Biology and Molecular Biology, 1 Normal Avenue, Montclair, New Jersey 07043 USA.
BMC Bioinformatics. 2003 Jul 10;4:29. doi: 10.1186/1471-2105-4-29.
The rapid increase in the amount of protein and DNA sequence information available has become almost overwhelming to researchers. So much information is now accessible that high-quality, functional gene analysis and categorization has become a major goal for many laboratories. To aid in this categorization, there is a need for non-commercial software that is able to both align sequences and also calculate pairwise levels of similarity/identity.
We have developed MatGAT (Matrix Global Alignment Tool), a simple, easy to use computer application that generates similarity/identity matrices for DNA or protein sequences without needing pre-alignment of the data.
The advantages of this program over other software are that it is open-source freeware, can analyze a large number of sequences simultaneously, can visualize both sequence alignment and similarity/identity values concurrently, employs global alignment in calculations, and has been formatted to run under both the Unix and the Microsoft Windows Operating Systems. We are presently completing the Macintosh-based version of the program.
现有蛋白质和DNA序列信息数量的快速增长几乎令研究人员应接不暇。如今可获取的信息如此之多,以至于高质量的功能基因分析和分类已成为许多实验室的主要目标。为辅助这种分类,需要一种能够对序列进行比对并计算成对相似性/同一性水平的非商业软件。
我们开发了MatGAT(矩阵全局比对工具),这是一个简单易用的计算机应用程序,无需预先比对数据就能为DNA或蛋白质序列生成相似性/同一性矩阵。
该程序相对于其他软件的优势在于它是开源免费软件,能同时分析大量序列,可同时可视化序列比对和相似性/同一性值,计算中采用全局比对,并且已格式化可在Unix和Microsoft Windows操作系统下运行。我们目前正在完成该程序基于Macintosh的版本。