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Rearrangement Phylogeny of Genomes in Contig Form

机译:重叠群基因组的重排系统发育

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There has been a trend in increasing phylogenetic coverage for genome sequencing while decreasing the sequencing coverage for each genome. With lower coverage, there is an increasing number of genomes being published in contig form. Rearrangement algorithms, including gene order-based phylogenetic tools, require whole genome data on gene order, segment order, or some other marker order. Items whose chromosomal location is unknown cannot be part of the input. The question we address here is, for gene order-based phylogenetic analysis, how can we use rearrangement algorithms to handle genomes available in contig form only? Our suggestion is to use the contigs directly in the rearrangement algorithms as if they were chromosomes, while making a number of corrections, e.g., we correct for the number of extra fusion/fission operations required to make contigs comparable to full assemblies. We model the relationship between contig number and genomic distance, and estimate the parameters of this model using insect genome data. With this model, we can then reconstruct the phylogeny based on genomic distance and numbers of contigs.
机译:有一种趋势是增加基因组测序的系统发育范围,同时减少每个基因组的测序范围。随着覆盖率的降低,以重叠群形式发表的基因组数目越来越多。重排算法,包括基于基因顺序的系统发育工具,需要有关基因顺序,片段顺序或某些其他标记顺序的全基因组数据。染色体位置未知的项目不能作为输入的一部分。我们在此要解决的问题是,对于基于基因顺序的系统发育分析,我们如何使用重排算法来处理仅重叠群形式的基因组?我们的建议是直接在重排算法中使用重叠群,就好像它们是染色体一样,同时进行许多校正,例如,我们校正了使重叠群与完整装配体可比的额外融合/分裂操作的数量。我们对重叠群数和基因组距离之间的关系进行建模,并使用昆虫基因组数据估算该模型的参数。使用此模型,我们可以根据基因组距离和重叠群的数量重建系统发育。

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