We present preliminary results on training finite state machines (FSMs) as good/bad classifiers for polymerase chain reaction (PCR) primers. Novel features of the work presented include hybridization of multiple popul...
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We present a method of using a genetic algorithm to evolve controls for a greedy algorithm. We demonstrate the technique on the location of embeddable DNA markers for genetic libraries. The technique has the potential...
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We present a method of using a genetic algorithm to evolve controls for a greedy algorithm. We demonstrate the technique on the location of embeddable DNA markers for genetic libraries. The technique has the potential for broad application and other applications are discussed.
We present preliminary results on training finite state machines (FSMs) as good/bad classifiers for polymerase chain reaction (PCR) primers. Novel features of the work presented include hybridization of multiple popul...
详细信息
We present preliminary results on training finite state machines (FSMs) as good/bad classifiers for polymerase chain reaction (PCR) primers. Novel features of the work presented include hybridization of multiple populations of FSMs and an incremental fitness function. The system presented here is a post-production add-on to a standard primer picking program intended to compensate for organism and lab specific factors.
This book constitutes the refereed proceedings of the 17th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2013, held in Beijing, China, in April 2013. The 32 revised full papers...
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ISBN:
(数字)9783642371950
ISBN:
(纸本)9783642371943
This book constitutes the refereed proceedings of the 17th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2013, held in Beijing, China, in April 2013. The 32 revised full papers were carefully reviewed and selected from 167 submissions. The papers cover a wide range of topics including molecular sequence analysis; genes and regulatory elements; molecular evolution; gene expression; biological networks; sequencing and genotyping technologies; genomics; epigenomics; metagenomics; population, statistical genetics; systems biology; computational proteomics; computational structural biology; imaging; large-scale data management.
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