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FAST AND CHEAP GENOME WIDE HAPLOTYPE CONSTRUCTION VIA OPTICAL MAPPING

机译:通过光学映射快速和廉价的基因组宽单倍型结构

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We describe an efficient algorithm to construct genome wide haplotype restriction maps of an individual by aligning single molecule DNA fragments collected with Optical Mapping technology. Using this algorithm and small amount of genomic material, we can construct the parental haplotypes for each diploid chromosome for any individual. Since such haplotype maps reveal the polymorphisms due to single nucleotide differences (SNPs) and small insertions and deletions (RFLPs), they are useful in association studies, studies involving genomic instabilities in cancer, and genetics, and yet incur relatively low cost and provide high throughput. If the underlying problem is formulated as a combinatorial optimization problem, it can be shown to be NP-complete (a special case of K-population problem). But by effectively exploiting the structure of the underlying error processes and using a novel analog of the Baum-Welch algorithm for HMM models, we devise a probabilistic algorithm with a time complexity that is linear in the number of markers for an ε-approximate solution. The algorithms were tested by constructing the first genome wide haplotype restriction map of the microbe T. pseudoana, as well as constructing a haplotype restriction map of a 120 Mb region of Human chromosome 4. The frequency of false positives and false negatives was estimated using simulated data. The empirical results were found very promising.
机译:我们描述了一种有效的算法来构建通过用光学映射技术的单分子DNA片段对准单分子DNA片段来构建个体的基因组宽单倍型限制图。使用该算法和基因组物质的量小,我们可以构建与亲本单倍体型的每个二倍体染色体对任何个人。由于这样的单倍型的地图显示多态性由于单核苷酸差异(单核苷酸多态性)和小插入和缺失(RFLP标记),它们在关联研究是有用的,研究涉及在癌症的基因组的不稳定性,和遗传学和成本还招致比较低,并提供高吞吐量。如果潜在的问题被制定为组合优化问题,则可以显示为NP-Complete(特殊情况的K人口问题)。但通过有效地利用底层错误处理的结构,并使用Baum-Welch算法对于HMM模型的新颖类似物,我们设计一种概率算法与时间复杂度是线性的在用于ε-近似解标记的数目。通过构建微生物T.Pseudoana的第一基因组宽单倍型限制图来测试算法,以及构建人染色体120mb区域的单倍型限制图4.使用模拟估计误报和假阴性的频率数据。经验结果被发现非常有前景。

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