Title :
Parallel hierarchical adaptive genetic algorithm for fragment assembly
Author :
Kim, Kieun ; Mohan, Chilnkuri K.
Author_Institution :
Dept. of EECS, Syracuse Univ., NY, USA
Abstract :
Fragment assembly is an important task in genome sequencing, and involves reconstructing a long sequence based on many overlapping subsequences (fragments) that contain errors. This paper presents a fragment assembler using a new parallel hierarchical adaptive variation of evolutionary algorithms. The innovative features include a new measure for evaluating sequence assembly quality and the development of a hybrid algorithm. Results from the simulation of 56 cases demonstrate that sequence assembly by the new sequencing method is highly accurate and noise-tolerant.
Keywords :
DNA; adaptive systems; genetic algorithms; genetics; molecular configurations; parallel algorithms; sequences; adaptive genetic algorithm; evolutionary algorithms; fragment assembly; genome sequencing; hierarchical genetic algorithm; hybrid algorithm development; overlapping subsequences; parallel genetic algorithm; sequence assembly quality; sequence reconstruction; sequencing method; Assembly; Bioinformatics; Cloning; DNA; Evolutionary computation; Genetic algorithms; Genomics; Probes; Sequences; Technological innovation;
Conference_Titel :
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN :
0-7803-7804-0
DOI :
10.1109/CEC.2003.1299631