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LOGIQA: a database dedicated to long-range genome interactions quality assessment
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 kno...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4868109/ https://www.ncbi.nlm.nih.gov/pubmed/27185059 http://dx.doi.org/10.1186/s12864-016-2642-1 |
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author | Mendoza-Parra, Marco-Antonio Blum, Matthias Malysheva, Valeriya Cholley, Pierre-Etienne Gronemeyer, Hinrich |
author_facet | Mendoza-Parra, Marco-Antonio Blum, Matthias Malysheva, Valeriya Cholley, Pierre-Etienne Gronemeyer, Hinrich |
author_sort | Mendoza-Parra, Marco-Antonio |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2642-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4868109 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48681092016-05-17 LOGIQA: a database dedicated to long-range genome interactions quality assessment Mendoza-Parra, Marco-Antonio Blum, Matthias Malysheva, Valeriya Cholley, Pierre-Etienne Gronemeyer, Hinrich BMC Genomics Database 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2642-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-05-16 /pmc/articles/PMC4868109/ /pubmed/27185059 http://dx.doi.org/10.1186/s12864-016-2642-1 Text en © Mendoza-Parra et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Database Mendoza-Parra, Marco-Antonio Blum, Matthias Malysheva, Valeriya Cholley, Pierre-Etienne Gronemeyer, Hinrich LOGIQA: a database dedicated to long-range genome interactions quality assessment |
title | LOGIQA: a database dedicated to long-range genome interactions quality assessment |
title_full | LOGIQA: a database dedicated to long-range genome interactions quality assessment |
title_fullStr | LOGIQA: a database dedicated to long-range genome interactions quality assessment |
title_full_unstemmed | LOGIQA: a database dedicated to long-range genome interactions quality assessment |
title_short | LOGIQA: a database dedicated to long-range genome interactions quality assessment |
title_sort | logiqa: a database dedicated to long-range genome interactions quality assessment |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4868109/ https://www.ncbi.nlm.nih.gov/pubmed/27185059 http://dx.doi.org/10.1186/s12864-016-2642-1 |
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