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Asterics: a simple tool for the ExploRation and Integration of omiCS data.
Maigné, Élise; Noirot, Céline; Henry, Julien; Adu Kesewaah, Yaa; Badin, Ludovic; Déjean, Sébastien; Guilmineau, Camille; Krebs, Arielle; Mathevet, Fanny; Segalini, Audrey; Thomassin, Laurent; Colongo, David; Gaspin, Christine; Liaubet, Laurence; Vialaneix, Nathalie.
Affiliation
  • Maigné É; Université de Toulouse, INRAE, UR MIAT, 31326, Castanet-Tolosan, France.
  • Noirot C; Université de Toulouse, INRAE, UR MIAT, 31326, Castanet-Tolosan, France.
  • Henry J; Université Fédérale de Toulouse, INRAE, Bioinfomics, Genotoul Bioinformatics Facility, 31326, Castanet-Tolosan, France.
  • Adu Kesewaah Y; Université de Toulouse, INRAE, UR MIAT, 31326, Castanet-Tolosan, France.
  • Badin L; Plateforme Biostatistique, Genotoul, Toulouse, France.
  • Déjean S; Université de Toulouse, INRAE, UR MIAT, 31326, Castanet-Tolosan, France.
  • Guilmineau C; Plateforme Biostatistique, Genotoul, Toulouse, France.
  • Krebs A; Hyphen-Stat, Toulouse, France.
  • Mathevet F; Plateforme Biostatistique, Genotoul, Toulouse, France.
  • Segalini A; IMT, UMR 5219, Université de Toulouse, CNRS, UPS, 31062, Toulouse, France.
  • Thomassin L; Université de Toulouse, INRAE, UR MIAT, 31326, Castanet-Tolosan, France.
  • Colongo D; Plateforme Biostatistique, Genotoul, Toulouse, France.
  • Gaspin C; Université de Toulouse, INRAE, UR MIAT, 31326, Castanet-Tolosan, France.
  • Liaubet L; Université Fédérale de Toulouse, INRAE, Bioinfomics, Genotoul Bioinformatics Facility, 31326, Castanet-Tolosan, France.
  • Vialaneix N; Université de Toulouse, INRAE, UR MIAT, 31326, Castanet-Tolosan, France.
BMC Bioinformatics ; 24(1): 391, 2023 Oct 18.
Article de En | MEDLINE | ID: mdl-37853347
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.
Sujet(s)
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Logiciel Langue: En Journal: BMC Bioinformatics Sujet du journal: INFORMATICA MEDICA Année: 2023 Type de document: Article Pays d'affiliation: France

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Logiciel Langue: En Journal: BMC Bioinformatics Sujet du journal: INFORMATICA MEDICA Année: 2023 Type de document: Article Pays d'affiliation: France
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