An ALE-indez based algorithm facilitated prediction of success for polymerase chain reactions
Polymerase chain reaction (PCR), though invented over twenty years ago and having been developed with much advance, still face challenges nowadays. Long DNA and most high GC content DNA sequences are still hard to amplify. People have had few tools to predict whether a PCR is successful or not before a real PCR experiment is done. In this study, 189 randomly selected short amplicons from human genome were represented as “four horizontal lines DNA graphs followed by ALE-index based algorithm to compare relative similarities among each other, and were classified as two groups, which basically coincided with the real experimental results in which these amplicons were divided into successful and unsuccessful groups. The accuracy of the algorithm was about 91％.
polymerse chain reaction amplicon PCR success prediction DNA graph ALE-indez
Zhizhou Zhang Liangyu Meng Xiaoqing Yu Chun Li
Teda Bio-X Center for Systems Biotechnology Tianjin University of Science and Technology Tianjin,Chi Dept.of Mathematics Bohai University Jinzhou,China 121013
国际会议
北京
英文
1-6
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）