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anvi'o

Anvi'o is an open-source software platform for microbial 'omics research enabling analysis and visualization of 'omics data. In development since 2014, it is currently being maintained by the Ecosystem Data Science group at the Helmholtz Institute for Functional Marine Biodiversity.

1954
mentions

Cite this software

DOI:

10.5281/zenodo.13762895

What anvi'o can do for you

Anvi'o supports integrated and interactive analysis of sequence-based 'omics data, from pangenomics and metagenomics to metabolic reconstruction and tRNA sequence analysis. It includes over 150 modular programs that can be mixed and matched into analysis workflows for specific research questions, a web browser-based interface for interactive exploration of datasets, and a friendly user community.

For more information and extensive documentation/tutorials, please see the anvi'o website.

Logo of anvi'o
Keywords
Data analysis
Data Visualization
Omics
open source
Programming languages
  • Python 85%
  • JavaScript 8%
  • HTML 2%
  • Shell 2%
  • CSS 1%
  • R 1%
  • Other 1%
License
</>Source code

Participating organisations

Hel
Alfred Wegener Institute for Polar and Marine Research (AWI)

Reference papers

Mentions

Helmholtz Program-oriented Funding IV

Research Field
Research Program
PoF Topic
2 Earth and Environment
2.1 The Changing Earth - Sustaining our Future
2.1.6 Marine and Polar Life: Sustaining Biodiversity, Biotic Interactions and Biogeochemical Functions
3 Health
3.2 Environmental and Metabolic Health
3.2.2 Environmental Health
5 Information
5.1 Engineering Digital Futures: Supercomputing, Data Management and Information Security for Knowledge and Action
5.1.1 Enabling Computational- & Data-Intensive Science and Engineering
  • 2 Earth and Environment
    • 2.1 The Changing Earth - Sustaining our Future
      • 2.1.6 Marine and Polar Life: Sustaining Biodiversity, Biotic Interactions and Biogeochemical Functions
  • 3 Health
    • 3.2 Environmental and Metabolic Health
      • 3.2.2 Environmental Health
  • 5 Information
    • 5.1 Engineering Digital Futures: Supercomputing, Data Management and Information Security for Knowledge and Action
      • 5.1.1 Enabling Computational- & Data-Intensive Science and Engineering