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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全基因组构建

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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,可以通过对齐通过光学映射技术收集的单分子DNA片段来构建个体的全基因组单倍型限制性图谱。使用这种算法和少量的基因组材料,我们可以为任何个体的每个二倍体染色体构建亲本单倍型。由于此类单倍型图揭示了由于单核苷酸差异(SNP)和小的插入和缺失(RFLP)引起的多态性,因此它们可用于关联研究,涉及癌症的基因组不稳定性和遗传学的研究,但成本相对较低且提供高吞吐量。如果将基本问题表述为组合优化问题,则可以证明它是NP完全的(K人口问题的特例)。但是,通过有效地利用潜在错误过程的结构并使用Baum-Welch算法的新型模拟方法来建立HMM模型,我们设计了一种概率算法,其时间复杂度在ε近似解的标记数量上呈线性。通过构建微生物拟南芥的第一个全基因组单倍型限制性图谱以及构建人类4号染色体120 Mb区域的单倍型限制性图谱对算法进行了测试。使用模拟方法估算假阳性和假阴性的频率数据。实验结果非常有希望。

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