Resources and challenges for integrative analysis of nuclear architecture data. (April 2021)

• Record Type: Journal Article
• Authors: Jung, Youngsook L; Kirli, Koray; Alver, Burak H; Park, Peter J
• Is Part Of: Current opinion in genetics & development. Volume 67(2021)
• Page Start: 103
• Page End: 110
• Publication Date: 2021-04
• Subjects: Genetics -- Periodicals; Developmental biology -- Periodicals; Developmental genetics -- Periodicals; 576.5
• DOI: 10.1016/j.gde.2020.12.009
• Languages: English
• ISSNs: 0959-437X

Abstract

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.