Asterics: a simple tool for the ExploRation and Integration of omiCS data
Abstract Background The rapid development of omics acquisition techniques has induced the production of a large volume of heterogeneous and multi-level omics datasets, which require specific and sometimes complex analyses to obtain relevant biological information. Here, we present ASTERICS (version...
Main Authors: | , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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BMC
2023-10-01
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Series: | BMC Bioinformatics |
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Online Access: | https://doi.org/10.1186/s12859-023-05504-9 |
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author | Élise Maigné Céline Noirot Julien Henry Yaa Adu Kesewaah Ludovic Badin Sébastien Déjean Camille Guilmineau Arielle Krebs Fanny Mathevet Audrey Segalini Laurent Thomassin David Colongo Christine Gaspin Laurence Liaubet Nathalie Vialaneix |
author_facet | Élise Maigné Céline Noirot Julien Henry Yaa Adu Kesewaah Ludovic Badin Sébastien Déjean Camille Guilmineau Arielle Krebs Fanny Mathevet Audrey Segalini Laurent Thomassin David Colongo Christine Gaspin Laurence Liaubet Nathalie Vialaneix |
author_sort | Élise Maigné |
collection | DOAJ |
description | Abstract Background The rapid development of omics acquisition techniques has induced the production of a large volume of heterogeneous and multi-level omics datasets, which require specific and sometimes complex analyses to obtain relevant biological information. Here, we present ASTERICS (version 2.5), a publicly available web interface for the analyses of omics datasets. Results ASTERICS is designed to make both standard and complex exploratory and integration analysis workflows easily available to biologists and to provide high quality interactive plots. Special care has been taken to provide a comprehensive documentation of the implemented analyses and to guide users toward sound analysis choices regarding some specific omics data. Data and analyses are organized in a comprehensive graphical workflow within ASTERICS workspace to facilitate the understanding of successive data editions and analyses leading to a given result. Conclusion ASTERICS provides an easy to use platform for omics data exploration and integration. The modular organization of its open source code makes it easy to incorporate new workflows and analyses by external contributors. ASTERICS is available at https://asterics.miat.inrae.fr and can also be deployed using provided docker images. |
first_indexed | 2024-03-09T14:52:30Z |
format | Article |
id | doaj.art-a552e556227e4640888f4d0664ad534c |
institution | Directory Open Access Journal |
issn | 1471-2105 |
language | English |
last_indexed | 2024-03-09T14:52:30Z |
publishDate | 2023-10-01 |
publisher | BMC |
record_format | Article |
series | BMC Bioinformatics |
spelling | doaj.art-a552e556227e4640888f4d0664ad534c2023-11-26T14:23:08ZengBMCBMC Bioinformatics1471-21052023-10-0124111310.1186/s12859-023-05504-9Asterics: a simple tool for the ExploRation and Integration of omiCS dataÉlise Maigné0Céline Noirot1Julien Henry2Yaa Adu Kesewaah3Ludovic Badin4Sébastien Déjean5Camille Guilmineau6Arielle Krebs7Fanny Mathevet8Audrey Segalini9Laurent Thomassin10David Colongo11Christine Gaspin12Laurence Liaubet13Nathalie Vialaneix14Université de Toulouse, INRAE, UR MIATUniversité de Toulouse, INRAE, UR MIATUniversité de Toulouse, INRAE, UR MIATUniversité de Toulouse, INRAE, UR MIATHyphen-StatPlateforme Biostatistique, GenotoulUniversité de Toulouse, INRAE, UR MIATUniversité de Toulouse, INRAE, UR MIATUniversité de Toulouse, INRAE, UR MIATHyphen-StatHyphen-StatHyphen-StatUniversité de Toulouse, INRAE, UR MIATGenPhySE, Université de Toulouse, INRAE, ENVTUniversité de Toulouse, INRAE, UR MIATAbstract Background The rapid development of omics acquisition techniques has induced the production of a large volume of heterogeneous and multi-level omics datasets, which require specific and sometimes complex analyses to obtain relevant biological information. Here, we present ASTERICS (version 2.5), a publicly available web interface for the analyses of omics datasets. Results ASTERICS is designed to make both standard and complex exploratory and integration analysis workflows easily available to biologists and to provide high quality interactive plots. Special care has been taken to provide a comprehensive documentation of the implemented analyses and to guide users toward sound analysis choices regarding some specific omics data. Data and analyses are organized in a comprehensive graphical workflow within ASTERICS workspace to facilitate the understanding of successive data editions and analyses leading to a given result. Conclusion ASTERICS provides an easy to use platform for omics data exploration and integration. The modular organization of its open source code makes it easy to incorporate new workflows and analyses by external contributors. ASTERICS is available at https://asterics.miat.inrae.fr and can also be deployed using provided docker images.https://doi.org/10.1186/s12859-023-05504-9Web user interfaceStatistical analysesData integrationOmics |
spellingShingle | Élise Maigné Céline Noirot Julien Henry Yaa Adu Kesewaah Ludovic Badin Sébastien Déjean Camille Guilmineau Arielle Krebs Fanny Mathevet Audrey Segalini Laurent Thomassin David Colongo Christine Gaspin Laurence Liaubet Nathalie Vialaneix Asterics: a simple tool for the ExploRation and Integration of omiCS data BMC Bioinformatics Web user interface Statistical analyses Data integration Omics |
title | Asterics: a simple tool for the ExploRation and Integration of omiCS data |
title_full | Asterics: a simple tool for the ExploRation and Integration of omiCS data |
title_fullStr | Asterics: a simple tool for the ExploRation and Integration of omiCS data |
title_full_unstemmed | Asterics: a simple tool for the ExploRation and Integration of omiCS data |
title_short | Asterics: a simple tool for the ExploRation and Integration of omiCS data |
title_sort | asterics a simple tool for the exploration and integration of omics data |
topic | Web user interface Statistical analyses Data integration Omics |
url | https://doi.org/10.1186/s12859-023-05504-9 |
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