ASTERICS: A Simple Tool for the ExploRation and Integration of omiCS data - GENOTOUL-BIOINFO Access content directly
Journal Articles BMC Bioinformatics Year : 2023

ASTERICS: A Simple Tool for the ExploRation and Integration of omiCS data

Ludovic Badin
  • Function : Author
Audrey Segalini
  • Function : Author
Laurent Thomassin
  • Function : Author
David Colongo
  • Function : Author

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.
Fichier principal
Vignette du fichier
s12859-023-05504-9.pdf (1.55 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
licence : CC BY - Attribution

Dates and versions

hal-04248315 , version 1 (18-10-2023)

Licence

Attribution

Identifiers

Cite

Élise Maigné, Céline Noirot, Julien Henry, Yaa Adu Kesewaah, Ludovic Badin, et al.. ASTERICS: A Simple Tool for the ExploRation and Integration of omiCS data. BMC Bioinformatics, 2023, 24 (1), pp.391. ⟨10.1186/s12859-023-05504-9⟩. ⟨hal-04248315⟩
48 View
50 Download

Altmetric

Share

Gmail Facebook X LinkedIn More