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segment_liftover : a Python tool to convert segments between genome assemblies

机译:segment_liftover:Python工具用于在基因组组装之间转换片段

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摘要

The process of assembling a species’ reference genome may be performed in a number of iterations, with subsequent genome assemblies differing in the coordinates of mapped elements. The conversion of genome coordinates between different assemblies is required for many integrative and comparative studies. While currently a number of bioinformatics tools are available to accomplish this task, most of them are tailored towards the conversion of single genome coordinates. When converting the boundary positions of segments spanning larger genome regions, segments may be mapped into smaller sub-segments if the original segment’s continuity is disrupted in the target assembly. Such a conversion may lead to a relevant degree of data loss in some circumstances such as copy number variation (CNV) analysis, where the quantitative representation of a genomic region takes precedence over base-specific accuracy. segment_liftover aims at continuity-preserving remapping of genome segments between assemblies and provides features such as approximate locus conversion, automated batch processing and comprehensive logging to facilitate processing of datasets containing large numbers of structural genome variation data.
机译:物种参考基因组的组装过程可以进行多次迭代,随后的基因组组装在所映射元素的坐标上会有所不同。许多整合和比较研究都需要在不同装配之间转换基因组坐标。尽管目前有许多生物信息学工具可用来完成这项任务,但大多数工具都是为单基因组坐标的转换量身定制的。转换跨越较大基因组区域的片段的边界位置时,如果原始片段的连续性在目标装配体中被破坏,则可以将片段映射到较小的子片段中。在某些情况下,例如拷贝数变异(CNV)分析,这种转换可能导致相关程度的数据丢失,在这种情况下,基因组区域的定量表示优先于碱基特定的精度。 segment_liftover旨在保持程序集之间的基因组片段的连续性重映射,并提供诸如近似基因座转换,自动批处理和全面记录等功能,以促进包含大量结构基因组变异数据的数据集的处理。

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