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LOGIQA: a database dedicated to long-range genome interactions quality assessment.
Mendoza-Parra, Marco-Antonio; Blum, Matthias; Malysheva, Valeriya; Cholley, Pierre-Etienne; Gronemeyer, Hinrich.
Afiliação
  • Mendoza-Parra MA; Equipe Labellisée Ligue Contre le Cancer, Illkirch, France. marco@igbmc.fr.
  • Blum M; Department of Functional Genomics and Cancer, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Illkirch, France. marco@igbmc.fr.
  • Malysheva V; Centre National de la Recherche Scientifique UMR 7104, Illkirch, France. marco@igbmc.fr.
  • Cholley PE; Institut National de la Santé et de la Recherche Médicale U964, Illkirch, France. marco@igbmc.fr.
  • Gronemeyer H; University of Strasbourg, Illkirch, France. marco@igbmc.fr.
BMC Genomics ; 17: 355, 2016 05 16.
Article em En | MEDLINE | ID: mdl-27185059
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Genoma / Genômica / Bases de Dados Genéticas Idioma: En Revista: BMC Genomics Assunto da revista: GENETICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Genoma / Genômica / Bases de Dados Genéticas Idioma: En Revista: BMC Genomics Assunto da revista: GENETICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: França