MBLWHOI Library, Marine Biological Laboratory, 7 MBL Street, Woods Hole, MA 02543, USA, Sackler Institute for Comparative Genomics, American Museum of Natural History, 79th Street at CPW, New York, NY 10024, USA.
Mol Ecol Resour. 2008 Nov;8(6):1256-9. doi: 10.1111/j.1755-0998.2008.02235.x. Epub 2008 Aug 14.
The success of character-based DNA barcoding depends on the efficient identification of diagnostic character states from molecular sequences that have been organized hierarchically (e.g. according to phylogenetic methods). Similarly, the reliability of these identified diagnostic character states must be assessed according to their ability to diagnose new sequences. Here, a set of software tools is presented that implement the previously described Characteristic Attribute Organization System for both diagnostic identification and diagnostic-based classification. The software is publicly available from http://sarkarlab.mbl.edu/CAOS.
基于字符的 DNA 条码技术的成功取决于能否从经过层级组织（例如按照系统发生方法）的分子序列中有效识别出具有诊断意义的字符状态。同样，也必须根据这些已识别的具有诊断意义的字符状态在诊断新序列方面的能力来评估其可靠性。这里介绍了一套软件工具，它们实现了先前描述的用于诊断识别和基于诊断的分类的特征属性组织系统。该软件可从 http://sarkarlab.mbl.edu/CAOS 获得。
