Université de Toulouse, INRAE, UR MIAT, 31326, Castanet-Tolosan, France.
Université Fédérale de Toulouse, INRAE, Bioinfomics, Genotoul Bioinformatics Facility, 31326, Castanet-Tolosan, France.
BMC Bioinformatics. 2023 Oct 18;24(1):391. doi: 10.1186/s12859-023-05504-9.
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.
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.
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.
组学获取技术的快速发展催生了大量异质和多层次的组学数据集，这些数据集需要特定的、有时甚至是复杂的分析方法才能获得相关的生物学信息。在这里，我们展示了 ASTERICS（版本 2.5），这是一个可公开获取的用于分析组学数据集的网络界面。
ASTERICS 的设计目的是让生物学家能够轻松使用标准和复杂的探索性和整合分析工作流程，并提供高质量的交互式图形。特别注意为实现的分析提供全面的文档，并为一些特定的组学数据的分析选择提供指导，以确保分析的合理性。数据和分析在 ASTERICS 工作区中的综合图形工作流程中进行组织，以方便理解导致给定结果的连续数据版本和分析。
ASTERICS 为组学数据探索和整合提供了一个易于使用的平台。其开源代码的模块化组织使得外部贡献者可以轻松地纳入新的工作流程和分析。ASTERICS 可在 https://asterics.miat.inrae.fr 上获得，也可以使用提供的 docker 镜像进行部署。
