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Article Dans Une Revue BMC Genomics Année : 2016

LOGIQA: a database dedicated to long-range genome interactions quality assessment

Résumé

BACKGROUND: Proximity ligation-mediated methods are essential to study the impact of three-dimensional chromatin organization on gene programming. Albeit significant progress has been made in the development of computational tools that assess long-range chromatin interactions, next to nothing is known about the quality of the generated datasets. METHOD: We have developed LOGIQA ( www.ngs-qc.org/logiqa ), a database hosting quality scores for long-range genome interaction assays, accessible through a user-friendly web-based environment. RESULTS: Currently, LOGIQA harbors QC scores for >900 datasets, which provides a global view of their relative quality and reveals the impact of genome size, coverage and other technical aspects. LOGIQA provides a user-friendly dataset query panel and a genome viewer to assess local genome-interaction maps at different resolution and quality-assessment conditions. CONCLUSIONS: LOGIQA is the first database hosting quality scores dedicated to long-range chromatin interaction assays, which in addition provides a platform for visualizing genome interactions made available by the scientific community.

Dates et versions

hal-03680470 , version 1 (27-05-2022)

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Marco Antonio Mendoza Parra, Matthias Blum, Valeriya Malysheva, Pierre-Etienne Cholley, Hinrich Gronemeyer. LOGIQA: a database dedicated to long-range genome interactions quality assessment. BMC Genomics, 2016, 17, ⟨10.1186/s12864-016-2642-1⟩. ⟨hal-03680470⟩
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