Algorithms for optimizing cross-overs in DNA shuffling
نویسندگان
چکیده
منابع مشابه
Dna Algorithms Based on Exon Shuffling
An understanding of a natural system’s information handling can lead to more effective artificial optimization techniques. There are successful optimization algorithms represented in biosystems that have proven useful in engineering applications (artificial neural networks, immune system algorithms, etc). The goal of our study is to develop a new biosystem derived an optimization algorithm whic...
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Until recently, most of our understanding of meiotic recombination has come from studies of lower eukaryotes. However, over the past few years several components of the mammalian meiotic recombination pathway have been identified, and new molecular and cytological approaches to the analysis of mammalian meiosis have been developed. In this review, we discuss recent advances in three areas: the ...
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We introduce a quantitative framework for assessing the generation of crossovers in DNA shuffling experiments. The approach uses free energy calculations and complete sequence information to model the annealing process. Statistics obtained for the annealing events then are combined with a reassembly algorithm to infer crossover allocation in the reassembled sequences. The fraction of reassemble...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2012
ISSN: 1471-2105
DOI: 10.1186/1471-2105-13-s3-s3