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核架构数据综合分析的资源和挑战。

Resources and challenges for integrative analysis of nuclear architecture data.

机构信息

Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.

Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.

出版信息

Curr Opin Genet Dev. 2021 Apr;67:103-110. doi: 10.1016/j.gde.2020.12.009. Epub 2021 Jan 12.

Abstract

A large amount of genomic data for profiling three-dimensional genome architecture have accumulated from large-scale consortium projects as well as from individual laboratories. In this review, we summarize recent landmark datasets and collections in the field. We describe the challenges in collection, annotation, and analysis of these data, particularly for integration of sequencing and microscopy data. We introduce efforts from consortia and independent groups to harmonize diverse datasets. As the resolution and throughput of sequencing and imaging technologies continue to increase, more efficient utilization and integration of collected data will be critical for a better understanding of nuclear architecture.

摘要

大量用于描绘三维基因组结构的基因组数据已经积累自大规模联盟项目以及个别实验室。在这篇综述中,我们总结了该领域的最新重要数据集和资源。我们描述了这些数据收集、注释和分析的挑战,特别是对于测序和显微镜数据的整合。我们介绍了来自联盟和独立团体的工作,以协调多样化的数据集。随着测序和成像技术的分辨率和通量不断提高,对于更好地理解核结构,更有效地利用和整合收集的数据将是至关重要的。

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