A MASSIVELY-PARALLEL GENETIC ALGORITHM FOR RNA SECONDARY STRUCTURE PREDICTION

被引:71
作者
SHAPIRO, BA
NAVETTA, J
机构
[1] Image Processing Section, Laboratory of Mathematical Biology, Division of Cancer Biology, Diagnosis and Centers, National Cancer Institute, Frederick, 21702, MD, Bldg. 469
[2] Frederick Cancer Research and Development Center, National Institutes of Health, Frederick, 21702, MD, Bldg. 469
[3] Frederick Biomedical Supercomputer Center, PRI/DynCorp, NCI/FCRDC, Frederick, 21702, MD
关键词
GENETIC ALGORITHMS; RNA STRUCTURE PREDICTION; MASSIVELY PARALLEL; DYNAMIC PROGRAMMING; OPTIMIZATION;
D O I
10.1007/BF01204728
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We present a new method for predicting RNA secondary structure based on a genetic algorithm. The algorithm is designed to run on a massively parallel SIMD computer. Statistical analysis shows that the program performs well when compared to a dynamic programming algorithm used to solve the same problem. The program has also pointed out a long-standing simplification in the implementation of the original dynamic programming algorithm that sometimes causes it not to find the optimal secondary structure.
引用
收藏
页码:195 / 207
页数:13
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