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Nitecap: An Exploratory Circadian Analysis Web Application

Circadian omics analyses present investigators with large amounts of data to consider and many choices for methods of analysis. Visualization is crucial as rhythmicity can take many forms and p-values offer an incomplete picture. Yet statically viewing the entirety of high-throughput datasets is imp...

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Autores principales: Brooks, Thomas G., Mrčela, Antonijo, Lahens, Nicholas F., Paschos, Georgios K., Grosser, Tilo, Skarke, Carsten, FitzGerald, Garret A., Grant, Gregory R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003665/
https://www.ncbi.nlm.nih.gov/pubmed/34724846
http://dx.doi.org/10.1177/07487304211054408
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author Brooks, Thomas G.
Mrčela, Antonijo
Lahens, Nicholas F.
Paschos, Georgios K.
Grosser, Tilo
Skarke, Carsten
FitzGerald, Garret A.
Grant, Gregory R.
author_facet Brooks, Thomas G.
Mrčela, Antonijo
Lahens, Nicholas F.
Paschos, Georgios K.
Grosser, Tilo
Skarke, Carsten
FitzGerald, Garret A.
Grant, Gregory R.
author_sort Brooks, Thomas G.
collection PubMed
description Circadian omics analyses present investigators with large amounts of data to consider and many choices for methods of analysis. Visualization is crucial as rhythmicity can take many forms and p-values offer an incomplete picture. Yet statically viewing the entirety of high-throughput datasets is impractical, and there is often limited ability to assess the impact of choices, such as significance threshold cutoffs. Nitecap provides an intuitive and unified web-based solution to these problems. Through highly responsive visualizations, Nitecap enables investigators to see dataset-wide behavior. It supports deep analyses, including comparisons of two conditions. Moreover, it focuses upon ease-of-use and enables collaboration through dataset sharing. As an application, we investigated cross talk between peripheral clocks in adipose and liver tissues and determined that adipocyte clock disruption does not substantially modulate the transcriptional rhythmicity of liver but does advance the phase of core clock gene Bmal1 (Arntl) expression in the liver. Nitecap is available at nitecap.org and is free-to-use.
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spelling pubmed-90036652022-04-12 Nitecap: An Exploratory Circadian Analysis Web Application Brooks, Thomas G. Mrčela, Antonijo Lahens, Nicholas F. Paschos, Georgios K. Grosser, Tilo Skarke, Carsten FitzGerald, Garret A. Grant, Gregory R. J Biol Rhythms JBR Perspectives on Data Analysis Circadian omics analyses present investigators with large amounts of data to consider and many choices for methods of analysis. Visualization is crucial as rhythmicity can take many forms and p-values offer an incomplete picture. Yet statically viewing the entirety of high-throughput datasets is impractical, and there is often limited ability to assess the impact of choices, such as significance threshold cutoffs. Nitecap provides an intuitive and unified web-based solution to these problems. Through highly responsive visualizations, Nitecap enables investigators to see dataset-wide behavior. It supports deep analyses, including comparisons of two conditions. Moreover, it focuses upon ease-of-use and enables collaboration through dataset sharing. As an application, we investigated cross talk between peripheral clocks in adipose and liver tissues and determined that adipocyte clock disruption does not substantially modulate the transcriptional rhythmicity of liver but does advance the phase of core clock gene Bmal1 (Arntl) expression in the liver. Nitecap is available at nitecap.org and is free-to-use. SAGE Publications 2021-11-02 2022-02 /pmc/articles/PMC9003665/ /pubmed/34724846 http://dx.doi.org/10.1177/07487304211054408 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle JBR Perspectives on Data Analysis
Brooks, Thomas G.
Mrčela, Antonijo
Lahens, Nicholas F.
Paschos, Georgios K.
Grosser, Tilo
Skarke, Carsten
FitzGerald, Garret A.
Grant, Gregory R.
Nitecap: An Exploratory Circadian Analysis Web Application
title Nitecap: An Exploratory Circadian Analysis Web Application
title_full Nitecap: An Exploratory Circadian Analysis Web Application
title_fullStr Nitecap: An Exploratory Circadian Analysis Web Application
title_full_unstemmed Nitecap: An Exploratory Circadian Analysis Web Application
title_short Nitecap: An Exploratory Circadian Analysis Web Application
title_sort nitecap: an exploratory circadian analysis web application
topic JBR Perspectives on Data Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003665/
https://www.ncbi.nlm.nih.gov/pubmed/34724846
http://dx.doi.org/10.1177/07487304211054408
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